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Behavior of Users Illustrated using Heavy-Tailed Distribution

by Nripesh Trivedi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 39
Year of Publication: 2019
Authors: Nripesh Trivedi
10.5120/ijca2019918444

Nripesh Trivedi . Behavior of Users Illustrated using Heavy-Tailed Distribution. International Journal of Computer Applications. 182, 39 ( Feb 2019), 1-2. DOI=10.5120/ijca2019918444

@article{ 10.5120/ijca2019918444,
author = { Nripesh Trivedi },
title = { Behavior of Users Illustrated using Heavy-Tailed Distribution },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2019 },
volume = { 182 },
number = { 39 },
month = { Feb },
year = { 2019 },
issn = { 0975-8887 },
pages = { 1-2 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number39/30346-2019918444/ },
doi = { 10.5120/ijca2019918444 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:43.735693+05:30
%A Nripesh Trivedi
%T Behavior of Users Illustrated using Heavy-Tailed Distribution
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 39
%P 1-2
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Behavior of users on online social services is characterized using heavy-tailed distribution. The assumption in heavy-tailed distribution is that few users are responsible for most of the variation. In this paper, users characterized using heavy-tailed distribution are further characterized according to their activity on the online social service. Further, this characterization of behavior is shown to have similar properties as a trigonometric function,

References
  1. Trivedi, N., Asamoah, D. A., & Doran, D. (2018). Keep the conversations going: engagement-based customer segmentation on online social service platforms. Information Systems Frontiers, 20(2), 239-257.
  2. Viswanath, B., Mislove, A., Cha, M., & Gummadi, K. P. (2009). On the Evolution of User Interaction in Facebook. Proceedings of the 2nd ACM Workshop on Online Social Networks - WOSN ’09, 37.
  3. Anderson, A., Huttenlocher, D., & Kleinberg, J. (2012). Discovering Value from Community Activity on Focused Question Answering Sites : A Case Study of Stack Overflow. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Dscovery and Data Mining, 850–858.
  4. Kwak, H., Lee, C., Park, H., & Moon, S. (2010). What is Twitter , Social Network or a News Media? The International World Wide Web Conference Committee (IW3C2), 1–10.
Index Terms

Computer Science
Information Sciences

Keywords

Heavy-tailed distribution Users Activity Online social service

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