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It’s a “small world” after all - Social networks and their modeling  Michael Li, Ph.D Incubator2.cn [email_address] CBC2006, Hangzhou, PRC  October 29, 2006
[object Object],[object Object],[object Object],[object Object],Presentation Contents
What are Social Networks? “ To speak of social life is to speak of the association between people – their associating in work and in play, in love and in war, to trade or to worship, to help or to hinder.  It is in the social relations men establish that their interests find expression and their desires become realized.” Peter M. Blau Exchange and Power in Social Life , 1964
Society Nodes :  individuals  Links :   social relationship (family/work/friendship/etc.)
Source: Linton Freeman “See you in the funny pages”  Connections , 23, 2000, 32-42.
 
Paul Erdös collaboration graph Erdös had 507 direct collaborators (Erdös # of 1), many of whom have other collaborators (Erdös #2). Source: Valdis Krebs
Bio-Map protein-gene interactions protein-protein interactions PROTEOME GENOME Citrate Cycle METABOLISM Bio-chemical reactions
[object Object],[object Object],[object Object],[object Object],[object Object],History of Social Network Studies
The Erdös-Rényi model Albert and Barabasi.  REVIEWS OF MODERN PHYSICS,  74  2002 48-97 N  nodes, every pair of nodes being connected with probability  p Modeling Social Networks – 1. Random Nets
Watts and Strogatz.  Nature  (1998)  393  440-442 Starting from a ring lattice with  n  vertices and  k  edges per vertex, each edge is rewired at random with probability p.  Interpolating between regular and random networks Modeling Social Networks – 2. Small World Nets
[object Object],Modeling Social Networks – 2. Small World Nets
[object Object],[object Object],Modeling Social Networks – 2. Small World Nets
Across a large number of substantive settings, Barab á si points out that the distribution of network involvement ( degree ) is highly and characteristically skewed. Modeling Social Networks – 3. Scale Free Nets
Many large networks are characterized by a highly skewed distribution of the number of partners (degree)
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Modeling Social Networks – 3. Scale Free Nets
Nodes :  actors  Links :  cast jointly N = 212,250 (actors)   k   = 28.78 P(k) ~k^(-  )  =2.3 Days of Thunder (1990) Far and Away  (1992)  Eyes Wide Shut  (1999) Movies Net
The importance of the connected nodes in the scale-free network: 27% of the nodes are reached by the five most connected nodes, in the scale-free network more than 60% are reached. Comparing Random Vs. Scale-free Networks (both with 130 nodes and 215 links) Modified from Albert et al. Science (2000)  406  378-382 Five nodes with most links First neighbors of red nodes
A simple model for generating “scale-free” networks ,[object Object],[object Object],Barabasi and Albert. Science (1999)  286  509-512 Barabasi & Bonabeau Sci. Am. May 2003 60-69
Examples of real networks with power law degree distributions     Modeling Social Networks – 3. Scale Free Nets Network Nodes Links/Edges Attributes World-Wide Web Web pages Hyperlinks Directed Internet Computers and Routers Wires and cables Undirected Actor Collaboration Actors Films Undirected Science Collaboration Authors Papers Undirected Citation Articles Citation Directed Phone-call Telephone Number Phone call Directed Power grid Generators, transformers and substations High voltage transmission lines Directed
Albert and Barabasi.  REVIEWS OF MODERN PHYSICS,  74  2002 48-97 Many real networks are small-world networks
Future Directions: Network Topology and Dynamics
Current research on complex networks ,[object Object],[object Object],[object Object],[object Object],Future Directions: Network Topology and Dynamics
Failure: Removal of a random node. Attack: The selection and removal of a few nodes that play a vital role in maintaining the network’s connectivity. Failure and Attack Albert et al. Science (2000)  406  378-382 a macroscopic snapshot of Internet connectivity by  K. C. Claffy Future Directions: Network Topology and Dynamics
Thanks!

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It’s a “small world” after all

  • 1. It’s a “small world” after all - Social networks and their modeling Michael Li, Ph.D Incubator2.cn [email_address] CBC2006, Hangzhou, PRC October 29, 2006
  • 2.
  • 3. What are Social Networks? “ To speak of social life is to speak of the association between people – their associating in work and in play, in love and in war, to trade or to worship, to help or to hinder. It is in the social relations men establish that their interests find expression and their desires become realized.” Peter M. Blau Exchange and Power in Social Life , 1964
  • 4. Society Nodes : individuals Links : social relationship (family/work/friendship/etc.)
  • 5. Source: Linton Freeman “See you in the funny pages” Connections , 23, 2000, 32-42.
  • 6.  
  • 7. Paul Erdös collaboration graph Erdös had 507 direct collaborators (Erdös # of 1), many of whom have other collaborators (Erdös #2). Source: Valdis Krebs
  • 8. Bio-Map protein-gene interactions protein-protein interactions PROTEOME GENOME Citrate Cycle METABOLISM Bio-chemical reactions
  • 9.
  • 10. The Erdös-Rényi model Albert and Barabasi. REVIEWS OF MODERN PHYSICS, 74 2002 48-97 N nodes, every pair of nodes being connected with probability p Modeling Social Networks – 1. Random Nets
  • 11. Watts and Strogatz. Nature (1998) 393 440-442 Starting from a ring lattice with n vertices and k edges per vertex, each edge is rewired at random with probability p. Interpolating between regular and random networks Modeling Social Networks – 2. Small World Nets
  • 12.
  • 13.
  • 14. Across a large number of substantive settings, Barab á si points out that the distribution of network involvement ( degree ) is highly and characteristically skewed. Modeling Social Networks – 3. Scale Free Nets
  • 15. Many large networks are characterized by a highly skewed distribution of the number of partners (degree)
  • 16.
  • 17. Nodes : actors Links : cast jointly N = 212,250 (actors)  k  = 28.78 P(k) ~k^(-  )  =2.3 Days of Thunder (1990) Far and Away (1992) Eyes Wide Shut (1999) Movies Net
  • 18. The importance of the connected nodes in the scale-free network: 27% of the nodes are reached by the five most connected nodes, in the scale-free network more than 60% are reached. Comparing Random Vs. Scale-free Networks (both with 130 nodes and 215 links) Modified from Albert et al. Science (2000) 406 378-382 Five nodes with most links First neighbors of red nodes
  • 19.
  • 20. Examples of real networks with power law degree distributions     Modeling Social Networks – 3. Scale Free Nets Network Nodes Links/Edges Attributes World-Wide Web Web pages Hyperlinks Directed Internet Computers and Routers Wires and cables Undirected Actor Collaboration Actors Films Undirected Science Collaboration Authors Papers Undirected Citation Articles Citation Directed Phone-call Telephone Number Phone call Directed Power grid Generators, transformers and substations High voltage transmission lines Directed
  • 21. Albert and Barabasi. REVIEWS OF MODERN PHYSICS, 74 2002 48-97 Many real networks are small-world networks
  • 22. Future Directions: Network Topology and Dynamics
  • 23.
  • 24. Failure: Removal of a random node. Attack: The selection and removal of a few nodes that play a vital role in maintaining the network’s connectivity. Failure and Attack Albert et al. Science (2000) 406 378-382 a macroscopic snapshot of Internet connectivity by K. C. Claffy Future Directions: Network Topology and Dynamics