Hierarchy Prediction in Online Communities

Authors

  • Denys Katerenchuk City University of New York Graduate Center
  • Andrew Rosenberg City University of New York Graduate Center and City University of New York Queens College

DOI:

https://doi.org/10.1609/aaai.v30i1.9951

Keywords:

Influence detection, Hierarchy Prediction, Power Identification, User Ranking

Abstract

With the development of the Internet, a big part of social interactions have moved online, and people have unconsciously brought their daily communicational habits to the web. Understanding these communications is important because it will lead to a better understanding of online communities, and can improve areas such as e-commerce, advertisement, topic modeling, security, and others. We propose to develop a natural language based ranking algorithm to predict user influence levels in online communication groups.

AAAI 2016 Proceedings Cover

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Published

2016-03-05

How to Cite

Katerenchuk, D., & Rosenberg, A. (2016). Hierarchy Prediction in Online Communities. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9951

Issue

Vol. 30 No. 1 (2016): Thirtieth AAAI Conference on Artificial Intelligence

Section

Student Abstracts and Posters