@conference { ISI:000320443500153,
	title = {An SNA-based evaluation framework for virtual teams},
	booktitle = {2012 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM)},
	year = {2012},
	note = {IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Kadir Has Univ, Istanbul, TURKEY, AUG 26-29, 2012},
	pages = {948-953},
	publisher = {ACM; IEEE; ACM Sigmod; IEEE Comp Soc; Springer; TCDE; TUBiTAK; TUBiTAK BiLGEM; ACTC SMCS; IEEE Tech Comm Data Engn; Univ Calgary; Hellen Amer Univ; sbtanaliz; EX tra Foreign Trade Co Ltd; inforcept; FNSS Savunma Sistemleri A S; raccoonize; Huawei},
	organization = {ACM; IEEE; ACM Sigmod; IEEE Comp Soc; Springer; TCDE; TUBiTAK; TUBiTAK BiLGEM; ACTC SMCS; IEEE Tech Comm Data Engn; Univ Calgary; Hellen Amer Univ; sbtanaliz; EX tra Foreign Trade Co Ltd; inforcept; FNSS Savunma Sistemleri A S; raccoonize; Huawei},
	abstract = {Organizations are increasingly aware of the underlying forces of social networks and their impact on information and knowledge dissemination within virtual teams. However, assessing these networks is a challenge for team managers who need more complete toolkits in order to master team metrics. Social Network Analysis (SNA) is a descriptive, empirical research method for mapping and measuring relationships and flows between people, groups, organizations and other connected information/knowledge entities. In this article we establish a framework based on SNA to evaluate virtual teams.},
	isbn = {978-0-7695-4799-2},
	doi = {10.1109/ASONAM.2012.241},
	author = {Ben Hiba, Lamia and Idrissi, Mohammed Abdou Janati}
}
