Title
Self-Organizing Social Networks by Preference Similarity and the Networking Capacity of their Users
Document Type
Article
Publication Date
5-12-2016
DOI
https://doi.org/10.1016/j.procs.2016.04.241
Abstract
Consider the decision faced by the user of a social media site of whether or not to accept a friendship request from another user, given the limited amount of information available before deciding. We formalize the problem by defining the expected utility trade-offs derived from the request and simulate the resulting incentives numerically. These incentives provide the basis on which to build social networks determined by the different expectations and preferences of their users. Social networks are generated using a self-organizing map to cluster the decision makers (DMs) by their friendship acceptance behaviour. This behaviour is determined by the distribution of requesters relative to the preferences of the DMs.
Language
English
Recommended Citation
Di Caprio, Debora; Santos-Arteaga, Francisco J.; and Tavana, Madjid, "Self-Organizing Social Networks by Preference Similarity and the Networking Capacity of their Users" (2016). Business Systems and Analytics Faculty Work. 15.
https://digitalcommons.lasalle.edu/bsa_faculty/15
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Business Analytics Commons, Business Intelligence Commons, Technology and Innovation Commons
Comments
This article is the authors' final published version in Elsevier, Volume 83, Issue 2016, May 12, 2016, Pages 496-503.
The published version is available at https://doi.org/10.1016/j.procs.2016.04.241. Copyright © Di Caprio et al.