Conference Agenda

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Session Overview
Session
Workshop 1
Time:
Wednesday, 18/Mar/2015:
11:30 - 13:00

Location: Room 158
Fachhochschule Köln/ Cologne University of Applied Sciences
Claudiusstr. 1, 50678 Cologne

Presentations

Introduction to Network Analytics

Cathleen M. Stuetzer

TU Dresden, Germany

1.) Title of the workshop

Introduction to Network Analytics

2.) The workshop includes 1.5 h of instruction (no break).

3.) Target groups

For those who are interested in network analytics and social network theory. The workshop is targeted especially for people who have no experience with network analytics. The material is suitable for both researchers and practitioners.

4.) Is the workshop geared at an exclusively German or an international audience?

International audience

5.) Workshop language

English/ German (depending on the audience)

6.) Description of the content of the workshop

This course provides an introduction to theories and methods for network analytics as a perspective in social sciences and aims at newcomers to the field. Network analytics refers to the process of extracting relational data for the purpose of exploring hidden structures within (virtual) organizations, and knowledge networks. The course aims to be a practical introduction and focuses on answering questions as what network analytics mean, where network analytics come from, and how network analytic concepts can be applied. The course demonstrates the importance of social network perspective in various research fields and their relevance in practice. The workshop begins with the discussion of fundamental principles of social network theory and goes on to the description of network data, common measurements, and analysis of network structures. The course presents techniques of data collection and provides an overview on suitable instruments for network analytics. Resources for further study will be listed.

7.) Goals of the workshop

The workshop attendees are introduced to understand the composition, the structure, and the dynamics of (social) networks and how to apply the knowledge to study human behavior in the digital age. The workshop aims at providing a well-organized introduction to theories and methods for network analytics and their relevance in practice.

8.) Necessary prior knowledge of participants

The introduction to key concepts requires no prior knowledge.

9.) Literature that participants need to read prior to participation

The course has no special requirements for participation.

10.) Recommended additional literature

Hennig, Marina, Ulrik Brandes, Juergen Pfeffer, and Ines Mergel. (2012). Studying Social Networks: A Guide to Empirical Research. Frankfurt: Campus Verlag.

Wasserman, S., and Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge, ENG and New York: Cambridge University Press.

Freeman, Linton (2006). The Development of Social Network Analysis. Vancouver: Empirical Press.

Freeman, Linton (1979). Centrality in social networks: Conceptual clarification. Social Networks 1:215-239.

11.) Information about the instructor

Cathleen M. Stuetzer is a research assistant at the Institute for Sociology at the Johannes Gutenberg University Mainz (JGU), and a post-doctoral researcher at the Department of Educational Technology at the University of Technology in Dresden. In her empirical work, she focuses on the issues as „Evolution of Networks and Mechanisms of Elite Building in Science” and “Social Networks and Scientific Careers”. She is working as data scientist in diverse projects with the view to the impact of cooperation and collaboration in the social media age and concentrating on the handling of big data and development of quantitative and qualitative (online) research methods.

She earned her PhD (thesis) at TU Dresden in 2013 in the field of educational research with the topic “Distribution of Information and Knowledge in Collaborative Learning Systems”. She was honored with the GOR Thesis Award 2014 by the DGOF and nominated for the Young Researcher Award at WWW 2014 Conference in Seoul. Since 2011 she is engaging as reviewer at GOR and since 2014 an active member at DGOF (e.g. vice program chair GOR 15, program chair GOR16).

Contact:

Dr. Cathleen M. Stuetzer

Dresden University of Technology

Faculty of Education / Department of Educational TechnologyOffice: Strehlener Straße 22/24, Room: 451, D-01069 Dresden, Germany

Phone: +49 351 463 36261

Email: cathleen.stuetzer@tu-dresden.de

Websites:

http://www.academicanalytics.eu

http://www.cast-media.de

https://tu-dresden.de/Members/cathleen.stuetzer

12.) Maximum number of participants

<20

13.) Will participants need to bring their own devices in order to be able to access the Internet? Will they need to bring anything else to the workshop?

Participants should bring their own mobile devices.



 
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