An empirical evaluation of social influence metrics

Nikhil Kumar; Ruocheng Guo; Ashkan Aleali; Paulo Shakarian

doi:10.1109/ASONAM.2016.7752408

An empirical evaluation of social influence metrics

Nikhil Kumar, Ruocheng Guo, Ashkan Aleali, Paulo Shakarian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

Predicting when an individual will adopt a new behavior is an important problem in application domains such as marketing and public health. This paper examines the performance of a wide variety of social network based measurements proposed in the literature - which have not been previously compared directly. We study the probability of an individual becoming influenced based on measurements derived from neighborhood (i.e. number of influencers, personal network exposure), structural diversity, locality, temporal measures, cascade measures, and metadata. We also examine the ability to predict influence based on choice of classifier and how the ratio of positive to negative samples in both training and testing affect prediction results - further enabling practical use of these concepts for social influence applications.

Original language	English (US)
Title of host publication	Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1329-1336
Number of pages	8
ISBN (Electronic)	9781509028467
DOIs	https://doi.org/10.1109/ASONAM.2016.7752408
State	Published - Nov 21 2016
Event	2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 - San Francisco, United States Duration: Aug 18 2016 → Aug 21 2016

Other

Other	2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
Country	United States
City	San Francisco
Period	8/18/16 → 8/21/16

ASJC Scopus subject areas

Computer Networks and Communications
Sociology and Political Science
Communication

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An empirical evaluation of social influence metrics. / Kumar, Nikhil; Guo, Ruocheng; Aleali, Ashkan; Shakarian, Paulo.

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1329-1336 7752408.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kumar, N, Guo, R, Aleali, A & Shakarian, P 2016, An empirical evaluation of social influence metrics. in Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016., 7752408, Institute of Electrical and Electronics Engineers Inc., pp. 1329-1336, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, United States, 8/18/16. https://doi.org/10.1109/ASONAM.2016.7752408

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