@article {42,
	title = {Mobile Social Group Sizes and Scaling Ratio},
	journal = {AI Soc.},
	volume = {26},
	year = {2011},
	pages = {71{\textendash}85},
	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 {\textquotedblleft}8{\textquotedblright}. 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>
},
	issn = {0951-5666},
	doi = {10.1007/s00146-009-0230-5},
	url = {http://dx.doi.org/10.1007/s00146-009-0230-5},
	author = {Phithakkitnukoon, Santi and Ram Dantu}
}
@conference {40,
	title = {Mobile Social Closeness and Communication Patterns},
	booktitle = {Proceedings of the 7th IEEE Conference on Consumer Communications and Networking Conference},
	year = {2010},
	publisher = {IEEE Press},
	organization = {IEEE Press},
	address = {Piscataway, NJ, USA},
	abstract = {<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>
},
	isbn = {978-1-4244-5175-3},
	url = {http://dl.acm.org/citation.cfm?id=1834217.1834285},
	author = {Phithakkitnukoon, Santi and Ram Dantu}
}
