1. “MASHABLE” by Suman Kalyan Maity Dept. of CSE IIT Kharagpur CNeRG Retreat 2014 1

2. Outline of the talk Adoption of #hashtags in Twitter Twitter as an evolving linguistic system

3. Adoption of #hashtags in Twitter

4. State-of-the-art No model which shows how #hashtags are propagated and adopted Some works on popularity of #hashtags (mainly learning some features and predicting the popularity)

5. Adoption of #hashtags #MissYouSachin #ThankYouSachin #borntoplaycricket #salutethelegend #GoodByeSachin #SalaamSachin #srtforever #batkid #SachinMakesMeSenti #sachinsachin #legend #respect #SachinMadeMeSmile #mysachin #SRT200

6. Adoption of #hashtags #ripnelsonmandela #mandela #nelsonmandela #mandelamemorial #ripmandela #madiba #ripmadiba #mandelafuneral #legend #nelson #rememberingmandela #respect #inspiration #peopleschoice

7. Quantities of interest Temporal dynamics of no. of unique hashtag associated with an event Temporal dynamics of total no. of hashtags associated with an event Which #hashtags become popular? but how?

9. In search for a computational model ……

10. Modeling the dynamics …… Data Challenges:- - we need underlying follower-following network - But we have only 1% random sample (disconnected graph with giant component size ~ 0(1)) - we are reconstructing the graph by considering the users in our sample as seed node and following their “follower/following links” …. Still we are not getting sufficiently large giant component Any suggestions will be highly appreciated

11. Modeling the dynamics …… A user has a finite memory (O(1)) to keep #hashtags it knows At each timestep t, - a user is randomly selected to post tweets - with prob. p, the user post a tweet with brand new #hashtag (p – avg. rate of innovation in the system per timestep) otherwise - he/she posts a tweet selecting #hashtags it knows of (preferentially selected based on the #hashtag popularity) Any tweet posted appears instantly on the screen of the user’s followings The followers adopt the #hashtag preferentially according to the popularity of the #hashtag Any Suggestions?

12. Twitter as a evolving linguistic system

13. Word level analysis Evolution of various quantities over time (~2.5 yrs) - avg no. of char or word per tweets - level of formalism “I” vs “i” “very” vs “really” “you” vs “u” (want to define some measure to detect degree of formalism/informalism)

14. More deeper analysis Word co-occurrence graph - want to analyze the temporal core of the graph Evolution of slangs Adoption of linguistic styles (formality vs informality) Any Suggestions?

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