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Introduction to social network methods

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.

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.

CCTP-696 Social Network Analysis | 2011-2012 Fall and Spring Course Catalog | Georgetown University *Fulfills Core Method Requirement Social Network Analysis (SNA) allows patterns in relationships to be graphed and explored. Whether tracking the flow of information or influence, Social Network Analysis provides a valuable tool for uncovering important insights that other methods of analysis may miss. This class balances theory and practice, concepts and computations, with the goal of enabling students to conduct SNA research of their own. Students will learn how SNA is currently being used—applications that include analysis of political data, studying terrorism and tracking disease spread, among others. Students will also learn how to graph relationships given a set of data and the math techniques that unearth key pieces of information in these graphs. Data collection methods will be explored. Students will learn relevant mathematical techniques in a supportive, highly verbal manner. No particular math background is required beyond a willingness to learn.

Personal Learning Networks for Educators: 10 Tips I often begin my workshop on personal learning networks for educators by asking these questions: Who is in your learning network? Who do you learn from on a regular basis? Who do you turn to for your own professional development? Some educators are lucky enough to learn from their coworkers or colleagues at their site. Far too many others feel isolated in their room or office, and need to meet with counterparts from other sites in order to have a professional learning experience. I usually ask these questions at conferences, which are frequently only annual events – and rare treats for many educators. Learning to Network and Networking to Learn1.

INSNA home page soc2960p-syllabus libSNA: the library for Social Network Analysis Curso de redes sociales