[AISWorld] SNA Seminar with Steve Borgatti @GGS in Germany, April 9-11, 2015

[David Wagner]

Apologies for cross-posting.

Link to document: http://www.ggs.de/fileadmin/user_upload/Dokumente/Workshops_und_Seminare/Workshop_Social_Network_Analysis_April2014.pdf


GGS Seminars on Methods in Business Research

Chair: Prof. Tomás Bayón, Academic Dean

[cid:part2.07070908.02090604 at ggs.de]


“Social Network Analysis”

April 9th – 11th, 2015


The German Graduate School of Management and Law (GGS) organizes a series of seminars for doctoral students and post-docs with an interest in research methodology. This course on Social Network Analysis is designed to provide statistical instruments for the analysis of network structures. The workshop will show participants how to combine network data and analytical techniques to answer social science research questions. Furthermore, the students will become acquainted with computer programs that are widely used in practice.
Instructor
Professor Steve Borgatti is Professor in the Management Department at the University of Kentucky, home of the LINKS Center for Social Network Analysis. His research has been widely published in a variety of renowned scientific journals, including management journals (e.g., Administrative Science Quarterly, Academy of Management Journal, Academy of Management Review), physics journals, sociology journals, anthropology journals, and cross-disciplinary journals such as Social Networks and Science.  His research is focused on social networks, in particular notions of structural role and centrality. Prof. Borgatti is a past 2-term President of INSNA, the professional association for social network researchers, and recipient of both INSNA’s Simmel award and William D. Richards Award. He is the primary author of UCINET, a well-known software package for social network analysis. He has served as Senior Editor at Organization Science, and Associate Editor at Journal of Supply Chain Management, Computational and Mathematical Organizational Theory, Field Methods, Journal of Social Structures and several other journals.
Registration
The seminar is intended for doctoral students and post-docs who want to extend their methodological skills. The course is open to academic researchers in the fields of economics, business administration, information systems, social sciences and related subjects.
The course will be held from April 9th – 11th, 2015 at the German Graduate School of Management and Law (GGS) in Heilbronn. Accommodation during the workshop is possible within walking distance from the campus (a list of nearby hotels can be obtained upon request).
Interested candidates are asked to send their application including a short letter of motivation no later than March 1st, 2015. Applications should be sent by email to (researchmethods at ggs.de<mailto:researchmethods at ggs.de>). Applications will be evaluated and candidates will be informed of the decision within a week. The number of participants is limited to 20 students.
The course fee of 300 Euros includes registration, tuition, coffee breaks and drinks as well as lunch. Cancellations after registration are only partly refundable. Upon completion all participants will receive a certificate of attendance.
Program
The course contains theory sessions, taught in a standard lecture format and tutored computer sessions during which the participants have the opportunity to apply social network methods and concepts. Lectures will be in English. Lecture notes and data sets will be provided at the beginning of the course. In order to participate in the tutored computer sessions, students are expected to bring their own laptop capable of running Windows programs. The software we will use is UCINET, which is available on a trial basis online:
https://sites.google.com/site/ucinetsoftware/home
Students should install UCINET in advance in order to iron out any installation problems.
Thursday, 9th – Day 1

·         Overview of the Field of Social Network Analysis

·         Collecting and Managing Network Data

·         Visualizing Networks

o   Adding node attributes

o   Multiple relations

o   Two-mode visualizations
Friday, 10th – Day 2

·         Node-Level Analyses

o   Centrality and Coreness

·         Characterizing Whole Networks

o   Centralization
Saturday, 11th – Day 3

·         Dyadic Analyses

o   Structural equivalence

o   Strong ties

o   Linear regression models

Introductory Text Book

·         Borgatti, S.P., Everett, M.G. & Johnson, J.C. (2013). Analyzing Social Networks. London: Sage Publications. ISBN-13: 978-1446247419

--
Dr. David Wagner
Post Doc/Assistant Professor
Digital Strategy & Innovation
German Graduate School of Management and Law gGmbH (GGS)

currently
Visiting Professor
McGill University
Samuel Bronfman Building, office 552
1001 Sherbrooke Street West
Montreal, Quebec
H3A 1G5
Canada

Work +1 514 398 3321
Cell +1 514 576 4795
Web  http://www.kpsquared.org/

German Graduate School of Management and Law gGmbH
Bildungscampus 2
D-74076 Heilbronn
Sitz Heilbronn, Registergericht Stuttgart HRB 109182
Geschaeftsfuehrer: Prof. Dr. Dirk Zupancic, Prof. Dr. Tomas Bayon
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