Introduction to Social Network Analysis

Online communities and social software are revolutionizing the way we interact with the web. Analysing the interactions that take place there is complex. Social Network Analysis (SNA) is a powerful way of doing such analysis. This tutorial provides a detailed introduction to SNA. The theory is backed up with a number of practical case studies.

Content

Author and article information

Contributors

Panayiotis Zaphiris

Ulrike Pfeil

Conference

Publication date: September 2007

Publication date (Print): September 2007

Pages: 1-2

Affiliations

[0001]Centre for HCI Design

City University, London EC1V 0HB

+44-20-7040-8168

[0002]Centre for HCI Design

City University, London EC1V 0HB

+44-20-7040-4214

Article

DOI: 10.14236/ewic/HCI2007.89

SO-VID: cd49426f-6b9e-4c28-ab32-4bfbb9bb310b

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of HCI 2007 The 21st British HCI Group Annual Conference University of Lancaster, UK

Conference acronym: HCI

Conference number: 21

Conference location: Lancaster, UK

Conference date: 3 - 7 September 2007

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: British HCI Group Annual Conference

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2007.89

Self URI (journal page): https://ewic.bcs.org/

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Introduction to Social Network Analysis

Abstract