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apophenia: Would the real social network please stand up?
dana makes useful distinctions about networks
The world becomes a village – implications of social networks
Nice overview by Christian Kreutz
Huberman: social networks that matter - twitter under the microscope
From Jan 2009 First Monday
Social Network Analysis: An Introduction
Alexandra Marin and Barry Wellman
Department of Sociology, University of Toronto, from forthcoming book on SNA (2010)
"Social Media is Here to Stay... Now What?"
"Network effects should be extremely important to most of you.
Marketers know all about stickiness, but how many of you measure network density? You purchase all sorts of data from Nielsen and comScore that tells you about uniques, but do you know anythi
The HBR List 2009 - How Social Networks Network Best
"Delving deeper into the communication networks of several organizations illuminated the links between productivity and information fl ow even more. A recent MIT study found that in one organization the employees with the most extensive personal digital n
Social networks that matter: Twitter under the microscope
Bernardo Huberman, Daniel Romero, Fang Wu - First Monday
davidrothman.net » Online Social Networks for Nurses
Example of social network for nurses.
Social Network Analysis
One page overview on social network analysis
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An Introduction to
Social Network Analysis
Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers or other information/knowledge processing entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
A method to understand networks and their participants is to evaluate the location of actors in the network. Measuring the network location is finding the centrality of a node. These measures help determine the importance, or prominence, of a node in the network. Network location can be different than location in the hierarchy, or organizational chart.
We look at a social network, called the "Kite Network"[see above], developed by David Krackhardt, a leading researcher in social networks. Two nodes are connected if they regularly talk to each other, or interact in some way. For instance, in the network above, Andre regularly interacts with Carol, but not with Ike. Therefore Andre and Carol are connected, but there is no link drawn between Andre and Ike. This network effectively shows the distinction between the three most popular centrality measures: Degrees, Betweenness, and Closeness.
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