Social Network Analysis

Apply now

Business and Management, Social Science

English

5 ECTS

In this course, students will learn the main social network theories and concepts, how to identify and describe different levels of analysis and formulate/solve research problems in terms of network variables. They will apply key concepts of social network analysis in a self-selected area of research and use specialized software for network analysis (UCINET) to analyze and interpret research hypotheses.

A network perspective on organizational and management questions continues to appeal to a wide range of research domains. These include organizational behavior, knowledge management, HRM, entrepreneurship, information systems, and many more. The diversity in theoretical approaches to network research has yielded diverse methodological approaches, analyzing both structural and relational dimensions of networks and networking in organizational settings.

Zuzana Sasovova received her Master’s degree in Business Administration from the Faculty of Management Comenius University in Bratislava (Slovakia). She holds a PhD in information systems and organizational behavior from the Vrije Universiteit Amsterdam (2006).

Course Description & Study Characteristics

Course Description

The focus of this course is on providing basic knowledge and understanding of network theories with an emphasis on social network analysis (SNA) applications in intra- and interorganizational processes.

The course draws on conceptual and empirical research in these areas to investigate the antecedents and consequences of social networks – emergence and change in relationships and how network configurations influence important outcomes such as career progress, innovation and performance. In addition to being able to critically review cutting-edge network research, participants develop a methodological basis that will allow them to design a network study in their own area of interest with a close attention to data collection, management and analysis issues. Finally, they will gain hands-on experience with specialized software for analyzing social networks (UCINET).

Download the manual here.

Study Characteristics

Study period: September 2024 – October 2024 (Period 1)
Credits: 5 ECTS
Tuition fee: €1250 (20% discount for early bird registration)
Registration deadline: 29-08-2024 (early bird registration: 29-07-2024)
Recommendation: We recommend students taking this course no sooner than in the second year of the PhD trajectory.
Teaching methods: Lectures and Interactive Assignment Sessions
Assessment: 30% class participation, 20% Ucinet assignment, 50% final paper and presentation
Target audience: The course Social Network Analysis 2024-2025 is open to PhD candidates and research master students from the Vrije Universiteit Amsterdam and other Dutch and international universities engaged in research projects broadly related to business administration or organization studies.
This is an advanced methods course that assumes basic prior understanding of business administration topics or organization studies and basic understanding of quantitative business research methods.

Course Description & Study Characteristics
Course Description

A network perspective on organizational and management questions continues to appeal to a wide range of research domains. These include organizational behavior, knowledge management, HRM, entrepreneurship, information systems, and many more. The diversity in theoretical approaches to network research has yielded diverse methodological approaches, analyzing both structural and relational dimensions of networks and networking in organizational settings.
The focus of this course is on providing basic knowledge and understanding of network theories with an emphasis on social network analysis (SNA) applications in intra- and interorganizational processes.
The course draws on conceptual and empirical research in these areas to investigate the antecedents and consequences of social networks – emergence and change in relationships and how network configurations influence important outcomes such as career progress, innovation and performance. In addition to being able to critically review cutting-edge network research, participants develop a methodological basis that will allow them to design a network study in their own area of interest with a close attention to data collection, management and analysis issues. Finally, they will gain hands-on experience with specialized software for analyzing social networks (UCINET).
Download the manual here.

Study Characteristics
Study period: September 2024 – October 2024 (Period 1)

Credits: 5 ECTS

Tuition fee: €1250 (20% discount for early bird registration)

Registration deadline: 29-08-2024 (early bird registration: 29-07-2024)

Recommendation: We recommend students taking this course no sooner than in the second year of the PhD trajectory.

Teaching methods: Lectures and Interactive Assignment Sessions

Assessment: 30% class participation, 20% Ucinet assignment, 50% final paper and presentation

Target audience: The course Social Network Analysis 2024-2025 is open to PhD candidates and research master students from the Vrije Universiteit Amsterdam and other Dutch and international universities engaged in research projects broadly related to business administration or organization studies.

This is an advanced methods course that assumes basic prior understanding of business administration topics or organization studies and basic understanding of quantitative business research methods.

Please register with the Apply Now button at the top of this page. For more information please contact the course coordinator dr. Zuzana Sasovova:

z.sasovova@vu.nl

Social Network Analysis

Dr. Zuzana Sasovova

Dr. Zuzana Sasovova

Course Description & Study Characteristics

Study Characteristics

Would you like to register or want to know more?

Quick links

Study

Featured

About VU