Twitter currently only provides trending at a particular location. This idea is about figuring out what is hot among just your friends.

1. Top Treading of Twitter Friends
Guangqinag Li, Ye Wang

2. Outline
• Overview of Twitter
• Motivation
• Top Trending based on Tweet Rank
• Demo
• Conclusion

3. Overview of Twitter
• Write status
• A Tweet

4. Overview of Twitter
• See/reply friends’ status

5. Overview of Twitter
• Discuss over the same topic through
Hashtag

6. Overview of Twitter
• Top Trending
• Deficiency
– User can only customize trending based on
locations.
– Many of them are not interesting to users.

7. Motivation
• Allow user to see the top trending of
friends
• How to define “Hot” topics among friends?
– Term Frequency
– Tweet Rank
• Hashtag
• Replies

8. Tweet Rank
• Create a Tweet Graph
– Reply: like citation
Tweet 2
Tweet 1

9. Tweet Rank
• Create a Tweet Graph
– Hashtag: implies the same topic

10. Tweet Rank
• Create a Tweet Graph
• Rank tweets using Tweet Graph
– Similar to PageRank algorithm
– Outcome: Rank Vector of all tweets

11. Tweet Rank
• Every tweet has a score
– Between 0 to 1
– This’s Tweet Rank
• The random walk 33% 33%
T1 33%
– Start at a random tweet
– Follow an out edge with equal probability
• Calculate Tweet Rank, such that each
tweet has a real-time (in 24 hours)
popularity rate

12. Teleport
• Isolated tweet
– Not replied; not reply to others; no hashtag
– Still possible this tweet is related to some hot
topic.
• Assign a random probability for isolated
tweet to all other tweets

13. Retweet
• Send an existing tweet (of others) around
– Can be considered as a new tweet of a user

14. Term Rank
• Intuition: terms in a tweet with higher rank is
more important
• Adjacency list: terms and term frequency in
each tweet.
– Term List<<tweet_id, term-frequency>>
• Scoring Scheme for each term:
The sum of the multiplication of the logarithm of
each Term Frequency (tf>0) and its TweetRank
score   (1  log TermFrequency ) * (TweetRank ), i  TweetList
i n

15. Top Trending
• Terms with top ranking are Top Trending
(i.e. hot topic)
– More frequently appear in User and user’s
friends tweets/retweets
– Hot Hashtag may be cited by many tweets.
– Replied by many people.

16. Use of Twitter API
• Jtwitter
A small library providing easy access to
the Twitter API
http://www.winterwell.com/software/jtwitter.php
• Twitter
– getFriendsTimeline()
• Twitter.Status
– id
– inReplyToStatusId

17. Demo
• Scenario: Ye
1. Hello, I am fresh.
Aries Jane
1. #Finalexam is 2. @Aries Good
1. Welcome, fresh~
coming. Luck on your finals
2. @Ye I took a long 3. On, My 2. Yes, I am. So
to prepare Algorithm #finalexam is where are you from?
3. @Ye Dijkstra coming too, sad~ 3. Tomorrow go to
Algorithm is important! 4. @Jane Tks, Jane. DisneyLand!
4. Reviewing Prim’s Are you fresh,too?
4. DisneyLand is a
Algorithm 5. @Jane I am a magical place!!
5. Reviewing Bread- Chinese, you?
First Algorithm
5. @Ye I am also a
6. @Jane I am glad Chinese.
6. Reviewing Depth- to! See you~
6. @Ye All Chinese will go
Firest Algorithm
7. @Aries How do to play in Disneyland,
7. Reviewing NP- wanna join us?
you prepare? Any
complete tips? 7. Doing Homework~

18. Tweet Graph
Aries Ye Jane
1 1 1
2
3 2
2 3
4 3 4
4
5 5 5
6 6
6
7
7 7

19. Limitation
• Twitter Limit Rate
– Twitter API only allows clients to make a
limited number of calls in a given hour.
– API Requests: 150 per hour.
• Common Words Elimination
Small corpus for Common Words (60)
• Top Treading is based on single words.
– Better use phrase

20. Conclusion
• Propose a concept of Tweet Rank
• Implement this concept with Tweet Graph
• Rank terms with term frequency and
Tweet Rank
• Calculate Top Trending of friends for a
particular user
– A feature that current Twitter doesn’t have
– Potential business: show relevant ad based
on top trending of friends