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Social networking has become fundamental to everything including business, sales, service, and politics in the present world of social networks. The term 'social network' was first coined in 1954 by J. A. Barnes. The maximum size of social networks tends to be around 150 people (Dunbar's number) and the average size of social networks tends to be around 124 (Hill and Dunbar, 2002).
A social network is a social structure made of nodes which are generally individuals or organizations. A social network indicates the ways in which they are connected through various social familiarities ranging from casual acquaintance to close familial bonds. The major concepts and methods of social network analysis, and readings give applications of network approaches to selected substantive problems.
Social network analysis depicts social organization or social structure in terms of patterned social relationships linking social units. In the social sciences, Social Segmentation ranges from groupings from politics to culture and beliefs. Social network analysis takes seriously the proposition that behaviors of individual units or actors are to be understood in social context. Social network analysis is now applied within numerous substantive fields of social science.
There are many models and methods in social network analysis, but all share a conceptualization of social structure resting on relationships of units or actors. The International Network for Social Network Analysis is the professional association of social network analysis. Started in 1977 by Barry Wellman at the University of Toronto, it now has more than 800 members and is headed by William Richards (Simon Fraser University).
Network analysis and social networks have become reasonably diverse areas involving many methodological approaches and substantive concerns. Though there is some primarily qualitative work in social networks, the bulk of it takes a quantitative angle, and this course will reflect that emphasis. Diverse elements of mathematics and statistics are used in social network analyses.
MB 874 - Introduction to Social Network Analysis
This course provides an intensive introduction to the field of social network analysis. The purpose of the lab is to teach you how to actually analyze social network data. This means mastering the software tools as well as analytical strategies. IMPORTANT NOTE: You will need to bring your own laptop in order to participate in the lab.
Network concepts covered will include graph-theoretic fundamentals, centrality, cohesion, subgroups, equivalence and testing hypotheses.
Required Books Software For Social
Borgatti, S.P., Everett, M.G. and Freeman, L.C. 2002. UCINET 6 for Windows: Software for Social Network Analysis. Harvard: Analytic Technologies. Downloaded free on the network.
Wasserman and Faust. 1994. Social network Analysis. Cambridge.