Handouts

dg.o2005 Tutorial: Application of Social Network Analysis in Digital Government Research

dg.o2005 Tutorial: Application of Social Network Analysis in Digital Government Research 2.00-5.00 p.m. May 14, 2005 Atlanta, Georgia

Handouts

Organizer: Dr. Ines Mergel, Kennedy School of Government, Harvard University eMail: [email protected]

2.00-5.00 p.m. May 15, 2005 Atlanta, Georgia Description: Social network analysis is a developing paradigm in academia, business and also in private lives. It spins across all kinds of academic disciplines, such as sociology, anthropology, psychology, organization studies or political sciences. It helps to map and measure of relationships and communication or resource flows between people, groups, organizations, computers or other entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. Social networks are formed of social relations that consist of nodes (represented by actors, players, agents, vertices or points) and are connected by lines (ties, links or edges). The nodes can either consist of individuals or collectivities, such as organizations, political units (cities, nations, or societies). Social network analysis provides both concepts and theories, but also statistical tools to visualize and analyze the observed relationships. Goal: The target audience of the tutorial "Application of Social Network Analysis in Digital Government Research" is any researcher interested in the theory and analysis of relationships between computer networks, organizational and institutional actors. This tutorial is intended to give an overview of the existing theories, a brief introduction into the analysis of network data using a common tool called UCInet and into different visualization methods. Moreover, specific applications for digital government researchers are presented. A Q&A session will end the tutorial, in which researchers can address their specific research needs. We will use existing, well-known and often reanalyzed data to show the relevance of social network analysis in different fields of application. In addition, we will use our own data from different studies in the area of Digital Government to show the relevance of the method and enhance the understanding of social network analysis. After this tutorial, attendees will be able to analyze their own data using social network analysis techniques. The lecturers will submit a list of introductory readings and Internet resources on Social Network Theory and Analysis.

Presenters Bios and contact information (in order of appearance) Prof. David Lazer

Tutorial Outline: 2.00–2.10 p.m.:

Welcome and Introductory Remarks

2.10–2.55 p.m.:

Introduction to Social Network Theory

David Lazer

3.00–3.30 p.m.:

Social Network Analysis Tools & Network Visualization Methods

Ines Mergel

- Break 3.45–4.30 p.m.:

3D-Application of Social Network Analysis

4.30 p.m.:

Questions and Answer

David Lazer is an Associate Professor of Public Policy at the Kennedy School of Government, Harvard University and teaches classes on Social Network Analysis. David is the Associate Director and Co-Principal Investigator of the National Center for Digital Government, a NSF funded research center, and founder and Director of the Program for Networked Governance, and faculty chair of the Cambridge Colloquium on Social Networks and Complexity (see http://www.ksg.harvard.edu/complexity). His research focuses on how networks at a variety of levels (inter-personal, inter-organizational, and inter-national) affect the functioning of systems. Contact: Kennedy School of Government Harvard University 79 John F. Kennedy Strett Cambridge, MA 02138 eMail: [email protected]

Dr. Ines Mergel Noshir Contractor

ALL

Ines Mergel is a Postdoctoral Fellow at the National Center for Digital Government that is located at the Kennedy School of Government, Harvard University. She has recently finished her dissertation with the title: "The influence of multiplex network ties on the diffusion of eLearning techniques "A social network analysis". She holds a PhD from the University of St. Gallen, Institute of Management, in Switzerland. In her research she focuses on the social network relationships in the diffusion of innovative technologies from a Social Sciences perspective. Ines will be responsible for the second part of the tutorial and will give an introduction on Social Network Analysis techniques and different kinds of visualization techniques. For more information, resume, and a list of publications see: http://www.ksg.harvard.edu/digitalcenter/people/mergel_bio.htm Contact: Kennedy School of Government Harvard University 79 John F. Kennedy Strett Cambridge, MA 02138 Phone: 617-496 6166 eMail: [email protected]

Prof. Noshir Contractor Noshir Contractor (www.uiuc.edu/ph/www/nosh) is a professor of speech communication and Director of the Science of Networks in Communities (SONIC) Group at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign. His research program, funded continuously for the past decade by NSF, is investigating factors that lead to formation, maintenance, and dissolution of dynamically linked knowledge networks in 21st century organizational forms. His book titled "Theories of Communication Networks" (co-authored with Professor Peter Monge and published by Oxford University Press) received the 2003 Book of the Year award from the Organizational Communication Division of the National Communication Association. Contact: Noshir Contractor University of Illinois at Urbana-Champaign 244 Lincoln Hall 702 S. Wright Street Urbana IL 61801 Phone: 217-333-7780 eMail: [email protected]

David Lazer Introduction to Social Network Theory

Ines Mergel

Noshir Contractor

Social Network Analysis Tools & Network Visualization Methods

3D-Application of Social Network Analysis

Bibliography Journals • Connections: http://www.sfu.ca/~insna/indexConnect.html • Journal of Social Structure: http://www2.heinz.cmu.edu/project/INSNA/joss/index1.html • Journal of the American Society for Information Science and Technology: http://www.asis.org/Publications/JASIS/jasis.html • Social Structure: http://www.socscinet.com/sociology/socnet/ • Social Networks: http://www.elsevier.nl/locate/inca/505596 Online Example • Johnson/Borgatti/Luczkovich/Everett (2001): Network Role Analysis in the Study of Food Webs, in: Journal of Social Structure published online (Vol. 2, No. 3, May 8, 2001): http://zeeb.library.cmu.edu:7850/JoSS/johnson/RoleAnalysis.html Resources • INSNA (International Network for Social Network Analysis) http://www.sfu.ca/~insna/ • INSNA Conference: http://www.sfu.ca/~insna/INSNA/sunbelt_inf.html • Steve Borgatti’s / Analytitectech (Ucinet) Homepage: http://www.analytictech.com/borgatti/ • Network Instruments - developer of network management, troubleshooting and analysis tools, including protocol analyzers http://www.networkinstruments.com/html/gni.html

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