Understanding co-evolution in large multi-relational social networks

Ayush Singhal, Atanu Roy, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Understanding dynamics of evolution in large social networks is an important problem. In this paper, we characterize evolution in large multi-relational social networks. The proliferation of online media such as Twitter, Facebook, Orkut and MMORPGs1 have created social networking data at an unprecedented scale. Sony's Everquest II is one such example. We used game multi-relational networks to reveal the dynamics of evolution in a multi-relational setting by macroscopic study of the game network. Macroscopic analysis involves fragmenting the network into smaller portions for studying the dynamics within these sub-networks, referred to as 'communities'. From an evolutionary perspective of multi-relational network analysis, we have made the following contributions. Specifically, we formulated and analyzed various metrics to capture evolutionary properties of networks. We find that co-evolution rates in trust based 'communities' are approximately 60% higher than the trade based 'communities'. We also find that the trust and trade connections within the 'communities' reduce as their size increases. Finally, we study the interrelation between the dynamics of trade and trust within 'communities' and find interesting results about the precursor relationship between the trade and the trust dynamics within the 'communities'.

Original languageEnglish (US)
Title of host publicationProceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014
EditorsElisa Bertino, Bhavani Thuraisingham, Ling Liu, James Joshi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages733-740
Number of pages8
ISBN (Electronic)9781479958801
DOIs
StatePublished - Feb 27 2014
Event15th IEEE International Conference on Information Reuse and Integration, IEEE IRI 2014 - San Francisco, United States
Duration: Aug 13 2014Aug 15 2014

Publication series

NameProceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014

Other

Other15th IEEE International Conference on Information Reuse and Integration, IEEE IRI 2014
CountryUnited States
CitySan Francisco
Period8/13/148/15/14

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  • Cite this

    Singhal, A., Roy, A., & Srivastava, J. (2014). Understanding co-evolution in large multi-relational social networks. In E. Bertino, B. Thuraisingham, L. Liu, & J. Joshi (Eds.), Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014 (pp. 733-740). [7051962] (Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRI.2014.7051962