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Digital Enterprise Research Institute                                          www.deri.ie




                    Cross-Community Influence in
                           Discussion Fora
                  Václav Belák, Samantha Lam, Conor Hayes




 Stefan.Decker@deri.org
 http://www.StefanDecker.org/

© Copyright 2010 Digital Enterprise Research Institute. All rights reserved.
Motivation
Digital Enterprise Research Institute                                     www.deri.ie


   •  Online social communities represent an important cultural and
      business asset in context of many services on the Web
   •  Management and exploitation of these communities has thus become
      important and one way to do it is to focus on influential actors
   •  Social influence has been intensively studied in SNA, but can we extend
      the notion of influence to the level of communities?

                       forum A                             forum B
                                                     5
                                        2


                                1                4              6


                                        3
                                                     7
Research Questions
Digital Enterprise Research Institute                                www.deri.ie




   •  How can we identify communities persistently affecting other
      communities?

   •  Given a specific community, which communities does it
      influence? Which communities are dependent on the activity of
      others?

   •  Over time, how can we identify that a community is being
      increasingly influenced or even overtaken by another
      community?
Methods: Definition of Impact
Digital Enterprise Research Institute                                           www.deri.ie


  •  We propose to take two factors into account:
      1.  degree of community membership of the users
      2.  centrality of the users within each community
           •  we used in-degree (# replies of a user)
  •  For general case of n users and k communities define:
      •  n × k membership matrix M
      •  n × k centrality matrix C
  •  Cross-community k × k impact matrix J can then be obtained as a product
     of the two matrices:             ! 1
                                      #
                                           0 $
                                             &
                                                ! 2
                                                #
                                                      0 $
                                                        &
                                        M = # 0.2      0.8 &, C = # 10   10 &
                                            # 0         1 &       # 0     5 &
                                            "              %      "         %
                                                   !   4 2 $
                                        J = M TC = #           &
                                                   "   8 13 %
  •     Communities have usually different sizes, we therefore work with
        normalised impact matrix:         J
                                  ˆ
                                  Ji, j = n i, j
                                         ! Ml,i     l=1
Methods: Impact-based Measures
Digital Enterprise Research Institute                                      www.deri.ie



   •  Diagonal elements of J contain independence
      values (self-impact)
                                                             ! 4 2 $
                                                          J =#      &
   •  Total impact a community has on others
      is its importance
                                                             " 8 13 %
   •  Total impact other communities have on a community
      is the community’s dependence

   •  Level of dispersion (heterogeneity) of importance/dependence of
      community i can be measured as an entropy of a an i-th row/column of the
      impact matrix
        •  Is a community broadly influential or does it influence only few other
           communities?
Evaluation Data-Set
Digital Enterprise Research Institute                                 www.deri.ie



  •  10 years of data of the largest Irish discussion board system
  •  Segmented using 1 week sliding window
      •  1 week window represents approx. 84% of cross-fora posting
         activity
      •  448 snapshots in total
  •  636 communities, 73k users, 8M posts
Clustering Fora By I. and D.
    Digital Enterprise Research Institute                                                                                                                                   www.deri.ie


                                          Aggregate impact matrices from the individual snapshots
                                          and cluster the communities (by k-means) embedded in
                                          the row and column spaces of the aggregate matrix.

                        ●                                                                                            ●
                                                                                                                                                                                  7
                                                                                                                                                                                  ●




                                                                                                                 4
                  2.5




                            ●

                                                                   ! 1 2 $ 2 !     133

                                                                                                                     5 2 $
                                ●
                                      ●
                                          ●
                                              ●
                                                             ˆ
                                                             J1 = #             ˆ82 ●

                                                                             &, J = #
                                                                                 ●
                                                                                                                         &
                                                                                                                           ●
                                                                                                                               ●
                                                                                                                                   ●
                                                                                                                                       ●
                  2.0




                                                    ●                                                                                        ●
                                                        ●                                                                                        ●
                                                            ●                                                                                          ●     ●




                                                                                                                 3
                        2       4         6         8       10
                                                                   " 3 3 %           "                               3 5 %3        5         7        9




                                                                                               log(dependence)
log(importance)




                                              ●
                  1.5




                                                                       ●
                                                                   ●

                                                                     ˆ ˆ
                                                                     J1 + J 2 ! 3                                    2 $

                                                                                                                 2
                                                             ˆ
                                                             J agg =          =#
                  1.0




                                                                                                                       &
                                                                        2        " 3                                 4 %
                                                                                                                 1
                  0.5
                  0.0




                                                                                                                 0




                                0.3               0.4            0.5       0.6           0.7                             0.4           0.5             0.6            0.7   0.8

                                                        row entropy                                                                                  column entropy
Overall I/D over Time
 Digital Enterprise Research Institute                                                                                                                                                                                                                                                                                                                                                                                              www.deri.ie


                                                                         Take the communities with the highest importance and
                                                                         dependence at each week and plot them over time.
                                                                                                                                                                                                   Role Playing                                                                                                                                                                                                                     After Hours
                                                                                                                                                                                                   Films
                                                                                                                                                                                                   Games
                                                                                                                                                                                                   Computers & Tech.                                                                                                                                                                                                                Quake
                                                                                                                                                                                                   Sports
                                                                                                                                                                                                   After Hours
                                                                                                                                                                                                   Literature
                                                                                                                                                                                                                                                                                                                                                                                                                                    Half−Life
                                                                                                                                                                                                   Work & Jobs
                                                                                                                                                                                                   Webgames
                                                                                                                                                                                                   Humanities
                                                                                                                                                                                                   Recycle Bin                                                                                                                                                                                                                      Computers & Tech.
                                                                                                                                                                                                   Humour
                                                                                                                                                                                                   Television
                                                                                                                                                                                                   Reaver                                                                                                                                                                                                                           Humanities
                                                                                                                                                                                                   Help Desk
                                                                                                                                                                                                   Science
                                                                                                                                                                                                   Feedback
                                                                                                                                                                                                   Newbies & FAQ                                                                                                                                                                                                                    Humour
                                                                                                                                                                                                   Freemasons
                                                                                                                                                                                                   Moderators
                                                                                                                                                                                                   Comeonbanus                                                                                                                                                                                                                      Counter−Strike
                                                                                                                                                                                                   Lord of the Rings
                                                                                                                                                                                                   PearTree House
                                                                                                                                                                                                   History & Heritage
                                                                                                                                                                                                   Digital Art & Design                                                                                                                                                                                                             Help Desk
                                                                                                                                                                                                   The Illuminati
                                                                                                                                                                                                   FNWAI
                                                                                                                                                                                                   Tipp Inst                                                                                                                                                                                                                        IrelandOffline
                                                                                                                                                                                                   The Thunderdome
                                                                                                                                                                                                   HoLL
                                                                                                                                                                                                   Ask Doctor Demento
                                                                                                                                                                                                   Lubnip
                                                                                                                                                                                                                                                                                                                                                                                                                                    Politics
                                                                                                                                                                                                   The Cuckoo's Nest
                                                                                                                                                                                                   Events
                                                                                                                                                                                                   Spell Czechs                                                                                                                                                                                                                     Soccer
                                                                                                                                                                                                   Knights of the R.T.
                                                                                                                                                                                                   PBAN
                                                                                                                                                                                                                          Week 1

                                                                                                                                                                                                                                   Week 25

                                                                                                                                                                                                                                             Week 50

                                                                                                                                                                                                                                                       Week 75

                                                                                                                                                                                                                                                                 Week 100

                                                                                                                                                                                                                                                                            Week 125

                                                                                                                                                                                                                                                                                       Week 150

                                                                                                                                                                                                                                                                                                    Week 175

                                                                                                                                                                                                                                                                                                               Week 200

                                                                                                                                                                                                                                                                                                                          Week 225

                                                                                                                                                                                                                                                                                                                                     Week 250

                                                                                                                                                                                                                                                                                                                                                 Week 275

                                                                                                                                                                                                                                                                                                                                                            Week 300

                                                                                                                                                                                                                                                                                                                                                                       Week 325

                                                                                                                                                                                                                                                                                                                                                                                  Week 350

                                                                                                                                                                                                                                                                                                                                                                                             Week 375

                                                                                                                                                                                                                                                                                                                                                                                                              Week 400

                                                                                                                                                                                                                                                                                                                                                                                                                         Week 425
Week 1

         Week 25

                   Week 50

                             Week 75

                                       Week 100

                                                   Week 125

                                                              Week 150

                                                                         Week 175

                                                                                    Week 200

                                                                                               Week 225

                                                                                                          Week 250

                                                                                                                      Week 275

                                                                                                                                 Week 300

                                                                                                                                            Week 325

                                                                                                                                                       Week 350

                                                                                                                                                                  Week 375

                                                                                                                                                                             Week 400

                                                                                                                                                                                        Week 425




                                                                                                                                                                                                                                                                                                                                                Color Key
                                                                                                                     Color Key


                                                                                                                                                                                                                                             0                                                0.2                                                0.4                                                    0.6                                     0.8
                   0                              0.05                              0.1                              0.15                              0.2                              0.25                 0.3
                                                                                                                       Value                                                                                                                                                                                                                      Value
Cross-Community Infl. over Time
Digital Enterprise Research Institute                                          www.deri.ie


                   Count cases when community i’s impact on j was higher
                   than j’s independence and plot the pairs with the highest
                   counts.



           Count                        From (i)            To (j)
           29                           Moderators          Reported Posts
           22                           FNWAI               Poker
           17                           The Thunderdome     After Hours

           14                           PI Mods             Personal Issues
Moderation of Pers. Issues
Digital Enterprise Research Institute                                                                     www.deri.ie




                              7
                                        PI Mods                                         ●

                                        Moderators
                                        independence
                              6

                                                                                                    ●

                                                                        ●
                              5




                                                                                                    ●
                                                                                                ●
                              4




                                                                                            ●
                     impact




                                                               ●
                                                               ●
                                                                                                ●
                                                                    ●                               ●
                              3




                                                                                        ●
                                                               ●
                              2




                                                               ●
                              1
                              0




                                  150        200       250    300           350   400               450

                                                             week
Conclusion
Digital Enterprise Research Institute                                       www.deri.ie


       •  The evaluation demonstrated that the framework
            •  is able to identify highly influential and dependent communities
            •  can be used for efficient monitoring of the cross-community
               activity, perhaps even for early alerts
            •  can identify which communities to stimulate (e.g. by posting a
               message) s.t. the stimulus spreads efficiently
       •  We aim to extend it with content analysis
            •  E.g. What are the most influential communities with respect to a
               particular topic?
       •  We will also investigate empirically-observed topic cascades and modify
          our models accordingly if needed
       •  Finally, our goal is to propose a method for measuring significance of
          cross-community impact

       •  Belák V., Lam S., Hayes C. Cross-Community Influence in Discussion
          Fora. ICWSM 2012.
       •  Belák V., Lam S., Hayes C. Targeting Communities to Maximise
          Information Diffusion. MSND/WWW 2012.
Fold, No, Wait, All In!
Digital Enterprise Research Institute                                                                                             www.deri.ie

                                                        ●                                                        FNWAI to Poker
                                                                                                                 Poker to FNWAI
                                                                                                                 Poker's indep.
                             15

                                          ●




                                                        ●
                             10




                                              ●
                    impact




                                                                    ●
                                               ●                             ●
                                                                    ●
                                                                                 ●
                                                   ●
                                                                            ●
                                                                ●
                                                                             ●

                                                                        ●        ●
                                                                ●                    ●●
                             5




                                                   ●                                      ●
                                                            ●
                                                                        ●
                             0




                                        240            260                       280                 300   320       340

                                                                                              week

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Cross-Community Influence in Discussion Fora

  • 1. Digital Enterprise Research Institute www.deri.ie Cross-Community Influence in Discussion Fora Václav Belák, Samantha Lam, Conor Hayes Stefan.Decker@deri.org http://www.StefanDecker.org/ © Copyright 2010 Digital Enterprise Research Institute. All rights reserved.
  • 2. Motivation Digital Enterprise Research Institute www.deri.ie •  Online social communities represent an important cultural and business asset in context of many services on the Web •  Management and exploitation of these communities has thus become important and one way to do it is to focus on influential actors •  Social influence has been intensively studied in SNA, but can we extend the notion of influence to the level of communities? forum A forum B 5 2 1 4 6 3 7
  • 3. Research Questions Digital Enterprise Research Institute www.deri.ie •  How can we identify communities persistently affecting other communities? •  Given a specific community, which communities does it influence? Which communities are dependent on the activity of others? •  Over time, how can we identify that a community is being increasingly influenced or even overtaken by another community?
  • 4. Methods: Definition of Impact Digital Enterprise Research Institute www.deri.ie •  We propose to take two factors into account: 1.  degree of community membership of the users 2.  centrality of the users within each community •  we used in-degree (# replies of a user) •  For general case of n users and k communities define: •  n × k membership matrix M •  n × k centrality matrix C •  Cross-community k × k impact matrix J can then be obtained as a product of the two matrices: ! 1 # 0 $ & ! 2 # 0 $ & M = # 0.2 0.8 &, C = # 10 10 & # 0 1 & # 0 5 & " % " % ! 4 2 $ J = M TC = # & " 8 13 % •  Communities have usually different sizes, we therefore work with normalised impact matrix: J ˆ Ji, j = n i, j ! Ml,i l=1
  • 5. Methods: Impact-based Measures Digital Enterprise Research Institute www.deri.ie •  Diagonal elements of J contain independence values (self-impact) ! 4 2 $ J =# & •  Total impact a community has on others is its importance " 8 13 % •  Total impact other communities have on a community is the community’s dependence •  Level of dispersion (heterogeneity) of importance/dependence of community i can be measured as an entropy of a an i-th row/column of the impact matrix •  Is a community broadly influential or does it influence only few other communities?
  • 6. Evaluation Data-Set Digital Enterprise Research Institute www.deri.ie •  10 years of data of the largest Irish discussion board system •  Segmented using 1 week sliding window •  1 week window represents approx. 84% of cross-fora posting activity •  448 snapshots in total •  636 communities, 73k users, 8M posts
  • 7. Clustering Fora By I. and D. Digital Enterprise Research Institute www.deri.ie Aggregate impact matrices from the individual snapshots and cluster the communities (by k-means) embedded in the row and column spaces of the aggregate matrix. ● ● 7 ● 4 2.5 ● ! 1 2 $ 2 ! 133 5 2 $ ● ● ● ● ˆ J1 = # ˆ82 ● &, J = # ● & ● ● ● ● 2.0 ● ● ● ● ● ● ● 3 2 4 6 8 10 " 3 3 % " 3 5 %3 5 7 9 log(dependence) log(importance) ● 1.5 ● ● ˆ ˆ J1 + J 2 ! 3 2 $ 2 ˆ J agg = =# 1.0 & 2 " 3 4 % 1 0.5 0.0 0 0.3 0.4 0.5 0.6 0.7 0.4 0.5 0.6 0.7 0.8 row entropy column entropy
  • 8. Overall I/D over Time Digital Enterprise Research Institute www.deri.ie Take the communities with the highest importance and dependence at each week and plot them over time. Role Playing After Hours Films Games Computers & Tech. Quake Sports After Hours Literature Half−Life Work & Jobs Webgames Humanities Recycle Bin Computers & Tech. Humour Television Reaver Humanities Help Desk Science Feedback Newbies & FAQ Humour Freemasons Moderators Comeonbanus Counter−Strike Lord of the Rings PearTree House History & Heritage Digital Art & Design Help Desk The Illuminati FNWAI Tipp Inst IrelandOffline The Thunderdome HoLL Ask Doctor Demento Lubnip Politics The Cuckoo's Nest Events Spell Czechs Soccer Knights of the R.T. PBAN Week 1 Week 25 Week 50 Week 75 Week 100 Week 125 Week 150 Week 175 Week 200 Week 225 Week 250 Week 275 Week 300 Week 325 Week 350 Week 375 Week 400 Week 425 Week 1 Week 25 Week 50 Week 75 Week 100 Week 125 Week 150 Week 175 Week 200 Week 225 Week 250 Week 275 Week 300 Week 325 Week 350 Week 375 Week 400 Week 425 Color Key Color Key 0 0.2 0.4 0.6 0.8 0 0.05 0.1 0.15 0.2 0.25 0.3 Value Value
  • 9. Cross-Community Infl. over Time Digital Enterprise Research Institute www.deri.ie Count cases when community i’s impact on j was higher than j’s independence and plot the pairs with the highest counts. Count From (i) To (j) 29 Moderators Reported Posts 22 FNWAI Poker 17 The Thunderdome After Hours 14 PI Mods Personal Issues
  • 10. Moderation of Pers. Issues Digital Enterprise Research Institute www.deri.ie 7 PI Mods ● Moderators independence 6 ● ● 5 ● ● 4 ● impact ● ● ● ● ● 3 ● ● 2 ● 1 0 150 200 250 300 350 400 450 week
  • 11. Conclusion Digital Enterprise Research Institute www.deri.ie •  The evaluation demonstrated that the framework •  is able to identify highly influential and dependent communities •  can be used for efficient monitoring of the cross-community activity, perhaps even for early alerts •  can identify which communities to stimulate (e.g. by posting a message) s.t. the stimulus spreads efficiently •  We aim to extend it with content analysis •  E.g. What are the most influential communities with respect to a particular topic? •  We will also investigate empirically-observed topic cascades and modify our models accordingly if needed •  Finally, our goal is to propose a method for measuring significance of cross-community impact •  Belák V., Lam S., Hayes C. Cross-Community Influence in Discussion Fora. ICWSM 2012. •  Belák V., Lam S., Hayes C. Targeting Communities to Maximise Information Diffusion. MSND/WWW 2012.
  • 12. Fold, No, Wait, All In! Digital Enterprise Research Institute www.deri.ie ● FNWAI to Poker Poker to FNWAI Poker's indep. 15 ● ● 10 ● impact ● ● ● ● ● ● ● ● ● ● ● ● ●● 5 ● ● ● ● 0 240 260 280 300 320 340 week