01375nas a2200145   4500008004100000022001400041245004800055210004800103300001200151490000700163520096800170100002801138700001501166856004801181       2011                        eng d  a0951-566600aMobile Social Group Sizes and Scaling Ratio0 aMobile Social Group Sizes and Scaling Ratio  a71–850 v263 a<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>
1 aPhithakkitnukoon, Santi1 aDantu, Ram  uhttp://dx.doi.org/10.1007/s00146-009-0230-501135nas a2200133   4500008004100000020002200041245005500063210005500118260003600173520069500209100002800904700001500932856005400947       2010                        eng d  a978-1-4244-5175-300aMobile Social Closeness and Communication Patterns0 aMobile Social Closeness and Communication Patterns  aPiscataway, NJ, USAbIEEE Press3 a<p>As mobile networks expand rapidly to facilitate the rising number of mobile phone population, more mobile social services are being developed and offered. To create an efficient social functionality, characteristics of mobile social network must be studied. Social closeness is one of the basic fundamentals of any kind of social networking. In this paper, closeness in mobile social network is the subject of the study, from which social grouping scheme is proposed and validated against the feedbacks of human subjects. Based on the proposed grouping scheme, a study of the impact of the mobile social closeness to the similarity in calling patterns and reciprocity is presented.</p>
1 aPhithakkitnukoon, Santi1 aDantu, Ram  uhttp://dl.acm.org/citation.cfm?id=1834217.1834285