Bringing social networks into the networks stack

Faculty: Aaditeshwar Seth and  Amitabaha Bagchi


Collaborators: NICTA Australia ( Sipat Triukose, Sebastien Ardon and Anirban Mahanti )

Students: Amit Ruhela and Rudra M Tripathy




In the last decade, the microblogging service Twitter has attained a massive world-wide following with some estimates putting the user base at more than 1 Billion users. Nonetheless, fundamental questions remain unanswered. We know, for instance, that discussions around certain topics “go viral” whereas other topics die an early death. The network propagates some ideas, and some make no headway. In view of the enormous influence of online social networks (OSN), understanding the mechanics of these systems is critical. To characterize the properties of popular and non-popular topics is of surpassing importance to our understanding of how these complex networks are shaping our world.

In this project, we aim to study the spatio-temporal and events based characteristics of topics spread and its applications in content distribution networks. We also aim to study how the behavior of the small minority of very popular users on Twitter differs from that of the bulk of the population of ordinary users, and how these differences may impact information diffusion.


List of Publications

  1. Towards the use of online social networks for efficient internet content distribution. 5th International Conference on Advanced Networks and Telecommunication Systems (ANTS), Amit Ruhela, Rudra Mohan Tripathy, Sipat Triukose, Sebastien Ardon, Amitabha Bagchi, and Aaditeshwar Seth, pages 1--6, Dec. 2011

  2. Scalable content distribution for social networking websites. 4th International Conference on Communication Systems and Networks (COMSNETS). Amit Ruhela, pages 1--2, 3-7 Jan. 2012, doi: 0.1109/COMSNETS.2012.6151360 Best Presentation in PhD forum

  3. Towards the use of online social networks for efficient Internet content distribution. Newsletter by ACM IIT Delhi Chapter, Amit Ruhela, page 2, Apr. 2012

  4. Spatio-Temporal and Events Based Analysis of Topic Popularity in Twitter. 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), Sebastien Ardon, Amitabha Bagchi, Anirban Mahanti, Amit Ruhela, Aaditeshwar Seth, Rudra Mohan Tripathy and Sipat Triukose, pages 219--228, Oct. 2013

  5. The Scope for Online Social Network Aided Caching in Web CDNs. 9th ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS 2013), Amit Ruhela, Sipat Triukose, Sebastien Ardon, Amitabha Bagchi, Aaditeshwar Seth and Anirban Mahanti, pages 37--45, Oct. 2013

  6. The Rich and Middle Classes on Twitter: Are Popular Users Indeed Different from Regular Users, Amit Ruhela, Amitabha Bagchi, Anirban Mahanti and Aaditeshwar Seth, Computer Communications 2015