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Social Network Analysis

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.

Dr. Zuzana Sasovova

Dr. Zuzana Sasovova

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).

Zuzana Sasovova

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).

For the course manual please click here.

Study Characteristics

• Study period: September 2021 – October 2021 (Period 1)

• Credits: 5 ECTS

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

• Registration deadline: 23-08-2021 (early bird registration: 02-08-2021)

• 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 2021-2022 is open to PhD candidates and research master students from the Vrije Universiteit Amsterdam and the Netherlands engaged in research projects broadly related to business administration or organization studies.

• Admission requirements: All participants are expected to be proficient in English

  • 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).

    For the course manual please click here.

    Study Characteristics

    • Study period: September 2021 – October 2021 (Period 1)

    • Credits: 5 ECTS

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

    • Registration deadline: 23-08-2021 (early bird registration: 02-08-2021)

    • 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 2021-2022 is open to PhD candidates and research master students from the Vrije Universiteit Amsterdam and the Netherlands engaged in research projects broadly related to business administration or organization studies.

    • Admission requirements: All participants are expected to be proficient in English

Would you like to register or want to know more?

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