88171 - NETWORKS LABORATORY

Anno Accademico 2021/2022

  • Docente: Raffaele Corrado
  • Crediti formativi: 3
  • SSD: SECS-P/08
  • Lingua di insegnamento: Inglese

Conoscenze e abilità da conseguire

This laboratory introduces concepts, methods and software tools for the analysis of organizational and inter-organizational networks, as a natural and applied complement to the relational perspective developed on more theoretical grounds in the Administrative Processes course. A the end of the course the student: - Is familiar with the relevance of networks in understanding organizations and their strategies; - Knows the main concepts developed in the field of “network analysis”; - Has a basic working knowledge of the data, methods and software required to perform the analysis of social and organizational networks.

Contenuti

  • Role of relations within and between organizations
  • Introduction to basic techniques for analyzing networks
  • Laboratory practice of network analysis in the computer lab

Testi/Bibliografia

  • Borgatti, S.P., Everett, M.G., Johnson, J.C., Analyzing Social Networks. Sage, 2018 (2nd edition)
  • Hanneman, R.A., Riddle, M., Introduction to Social Network Methods. University of California, Riverside, 2005

Metodi didattici

Lecture, laboratory practice

Modalità di verifica e valutazione dell'apprendimento

Laboratory assignments (network analysis)

Grading:

  • < 18. Fail. Considerable further work is required for an even basic understanding of the content of the course.
  • 18-22. Sufficient. Understanding of the content of the course meets the minimum criteria; some mnemonic retention, little real understanding of the course topics.
  • 23-24. Satisfactory. Some understanding of the course topics, with significant shortcomings.
  • 25-27. Good. Good understanding of the course topics, with some errors.
  • 28-30. Very good. Full understanding of the course content, possibly minor errors.
  • 30 Lode. Perfect. Perfect understanding of the course content.

Strumenti a supporto della didattica

Computer

Software UCINET
info: http://www.analytictech.com/archive/ucinet.htm
download: https://sites.google.com/site/ucinetsoftware/downloads

Link ad altre eventuali informazioni

https://sites.google.com/site/profraffaelecorrado/

Orario di ricevimento

Consulta il sito web di Raffaele Corrado