Title Mobile Social Group Sizes and Scaling Ratio
Publication Type Journal Article
Year of Publication 2011
Authors Phithakkitnukoon, S, Dantu, R
Journal AI Soc.
Volume 26
Pagination 71-85
ISSN 0951-5666
Abstract

<p>Social data mining has become an emerging area of research in information and communication technology fields. The scope of social data mining has expanded significantly in the recent years with the advance of telecommunication technologies and the rapidly increasing accessibility of computing resources and mobile devices. People increasingly engage in and rely on phone communications for both personal and business purposes. Hence, mobile phones become an indispensable part of life for many people. In this article, we perform social data mining on mobile social networking by presenting a simple but efficient method to define social closeness and social grouping, which are then used to identify social sizes and scaling ratio of close to “8”. We conclude that social mobile network is a subset of the face-to-face social network, and both groupings are not necessary the same, hence the scaling ratios are distinct. Mobile social data mining.</p>

URL http://dx.doi.org/10.1007/s00146-009-0230-5
DOI 10.1007/s00146-009-0230-5

Publication Status:

UNT Department:

UNT Center:

UNT Lab: