Semantic Interpretation of Social Network Communities

Authors

  • Tushar Maheshwari Indian Institute of Information Technology - Chittoor
  • Aishwarya Reganti Indian Institute of Information Technology - Chittoor
  • Upendra Kumar Indian Institute of Information Technology - Chittoor
  • Tanmoy Chakraborty University of Maryland, College Park
  • Amitava Das Indian Institute of Information Technology - Chittoor

DOI:

https://doi.org/10.1609/aaai.v31i1.11078

Keywords:

Values and Ethics, Community Detection, Social Media

Abstract

A community in a social network is considered to be a group of nodes densely connected internally and sparsely connected externally.Although previous work intensely studied network topology within a community, its semantic interpretation is hardly understood. In this paper, we attempt to understand whether individuals in a community possess similar Personalities, Values and Ethical background. Finally, we show that Personality and Values models could be used as features to discover more accurate community structure compared to the one obtained from only network information.

AAAI-2017 Proceedings Cover

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Published

2017-02-12

How to Cite

Maheshwari, T., Reganti, A., Kumar, U., Chakraborty, T., & Das, A. (2017). Semantic Interpretation of Social Network Communities. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.11078

Issue

Vol. 31 No. 1 (2017): Thirty-First AAAI Conference on Artificial Intelligence

Section

Student Abstract Track