INSNA home page @insna.org Curso de redes sociales NodeXL The simplest, easiest way to get insights into networks, try the free and open NodeXL! Network Overview Discovery and Exploration for Excel 2007/2010/2013 NodeXL provides support for social network analysis in the context of a spreadsheet. See: NodeXL is a project from the Social Media Research Foundation and is a collaboration among: NodeXL is the free and open add-in for Excel that supports network overview, discovery and exploration. NodeXL requires Office 2007, 2010 or 2013. A video tutorial for NodeXL can be found at: A book Analyzing Social Media Networks with NodeXL: Insights from a connected world is available from Morgan-Kaufmann: Analyzing Social Media Networks with NodeXL: Insights from a Connected World Supporting documentation can be found at Data sets and other teaching materials are available at Social Media Research Related Publications
How to do social network analysis Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge 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]. ONA allows you to x-ray your organization and reveal the managerial nervous system that connects everything. To understand networks and their participants, we evaluate the location and grouping of actors in the network. We look at a social network -- the "Kite Network" above -- developed by David Krackhardt, a leading researcher in social networks. Degree Centrality Betweenness Centrality Closeness Centrality Network Centralization Network Reach Not all network paths are created equal.
Cytoscape: An Open Source Platform for Complex-Network Analysis and Visualization Introduction to social network methods Robert A. Hanneman and Mark Riddle Introduction to social network methods Table of contents About this book This on-line textbook introduces many of the basics of formal approaches to the analysis of social networks. You are invited to use and redistribute this text freely -- but please acknowledge the source. Hanneman, Robert A. and Mark Riddle. 2005. Table of contents: Preface1. Social network analysis software Social network analysis software (SNA software) is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation. Overview[edit] Some SNA software can perform predictive analysis.[5] This includes using network phenomena such as a tie to predict individual level outcomes (often called peer influence or contagion modeling), using individual-level phenomena to predict network outcomes such as the formation of a tie/edge (often called homophily models[6]) or particular type of triad, or using network phenomena to predict other network phenomena, such as using a triad formation at time 0 to predict tie formation at time 1. Network analysis software generally consists of either packages based on graphical user interfaces (GUIs), or packages built for scripting/programming languages. Interactive Data Visualization technology often includes social network analysis capabilities. Notes