Encyclopedia of Social Network Analysis and Mining

2018 Edition
| Editors: Reda Alhajj, Jon Rokne

Research Designs for Social Network Analysis

  • Katarzyna Musial
Reference work entry
DOI: https://doi.org/10.1007/978-1-4939-7131-2_246

Synonyms

Glossary

SNA

Social network analysis

SN

Social network

Definition

Social network analysis

a set of tools and methods that enable to analyze structures called social networks

Social network

a set of nodes and connections between nodes. Nodes may represent people, organizations, departments within organizations, or other social entities. Connections reflect interactions or common activities between nodes

Introduction

Research design for social network analysis (SNA), as for any other types of research, is a process during which the research question and set of methods that enable to answer the stated question are described. Social network analysis is a multidisciplinary research area, and in consequence a wide range of approaches to analyze network data exists. Nevertheless, each study in the field of social networks contains the following stages: (i) selecting sample, (ii) collecting data, (iii) preparing...

This is a preview of subscription content, log in to check access.

References

  1. Amaral LAN, Scala A, Barthelemy M, Stanley HE (2000) Classes of small-world networks. Proc Natl Acad Sci USA 97(21):11149–11152CrossRefGoogle Scholar
  2. Barnes JA (1954) Class and committees in a Norwegian Island parish. Hum Relat 7:39–58CrossRefGoogle Scholar
  3. Breiger RL (2004) The analysis of social networks. In: Hardy M, Bryman A (eds) Handbook of data analysis. Sage, London, pp 505–526Google Scholar
  4. Cattell V (2001) Poor people, poor places, and poor health: the mediating role of social networks and social capital. Soc Sci Med 52(10):1501–1516CrossRefGoogle Scholar
  5. Davis JA (1967) Clustering and structural balance in graphs. Hum Relat 20:181–187CrossRefGoogle Scholar
  6. Degenne A, Forse M (1999) Introducing social networks. Sage, London. MATHzbMATHCrossRefGoogle Scholar
  7. DiMicco J, Millen DR, Geyer W, Dugan C, Brownholtz B, Muller M (2008) Motivations for social networking at work. In: Proceedings of the computer supported cooperative work 2008 conference, San Diego. ACM, pp 711–720Google Scholar
  8. Garton L, Haythorntwaite C, Wellman B (1997) Studying online social networks. J Comput-Mediat Commun 3(1). http://jcmc.indiana.edu/vol3/issue1/garton.htmlCrossRefGoogle Scholar
  9. Golbeck J, Hendler J (2006) FilmTrust: movie recommendations using trust in web-based social networks. In: Proceedings of consumer communications and networking conference, IEEE conference proceedings 1, Las Vegas, pp 282–286Google Scholar
  10. Granovetter MS (1983) The strength of weak ties: a network theory revisited. Sociol Theory 1:201–233CrossRefGoogle Scholar
  11. Hanneman R, Riddle M (2005) Introduction to social network methods. Online textbook. Available from Internet: http://faculty.ucr.edu/~hanneman/nettext/ (01 04 2006)
  12. Howard B (2008) Analyzing online social networks. Commun ACM 51(11):14–16CrossRefGoogle Scholar
  13. Kazienko P, Musial K (2006) Recommendation framework for online social networks. In: Proceedings of the 4th Atlantic web intelligence conference. Studies in computational intelligence. Beer-Sheva, Israel, pp 111–120Google Scholar
  14. Krebs V (2000) The social life of routers. Internet Protoc J 3:14–25Google Scholar
  15. Lazega E (2001) The collegial phenomenon. The social mechanism of co-operation among peers in a corporate law partnership. Oxford University Press, OxfordCrossRefGoogle Scholar
  16. Liben-Nowell D, Kleinberg J (2003) The link prediction problem for social networks. In: Proceedings of the 12th international conference on information and knowledge management, New Orleans. ACM, pp 556–559Google Scholar
  17. Montgomery J (1991) Social networks and labor-market outcomes: toward an economic analysis. Am Econ Rev 81(5):1407–1418Google Scholar
  18. Morris M (1997) Sexual network and HIV. AIDS 11:206–219CrossRefGoogle Scholar
  19. Musial K, Kazienko P (2012) Social networks on the internet. World Wide Web J.  https://doi.org/10.1007/s11280-011-0155-zCrossRefGoogle Scholar
  20. Newman MEJ (2001) The structure of scientific collaboration networks. Natl Acad Sci USA 98:404–409. MATHMathSciNetzbMATHCrossRefGoogle Scholar
  21. Pagel M, Erdly W, Becker J (1987) Social networks: we get by with (and in spite of) a little help from our friends. J Pers Soc Psychol 53(4):793–804CrossRefGoogle Scholar
  22. Pool I, Kochen M (1978) Contacts and influence. Soc Netw 1(1):5–51. MathSciNetMathSciNetCrossRefGoogle Scholar
  23. Robins GL, Alexander M (2004) Small worlds among interlocking directors: network structure and distance in bipartite graphs. Comput Math Organ Theory 10:69–94. MATHzbMATHCrossRefGoogle Scholar
  24. Travers J, Milgram S (1969) An experimental study of the small world problem. Sociometry 32(4):425–443CrossRefGoogle Scholar
  25. Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, New YorkzbMATHCrossRefGoogle Scholar
  26. Yang WS, Dia JB, Cheng HC, Lin HT (2006) Mining social networks for targeted advertising. In: Proceedings of the 39th Hawaii international conference on systems science. IEEE Computer Society, Kauai, pp 425–443Google Scholar

Copyright information

© Springer Science+Business Media LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of InformaticsKing’s College LondonLondonUK
  2. 2.Department of Computing and InformaticsBournemouth UniversityPooleUK

Section editors and affiliations

  • Przemysław Kazienko
    • 1
  • Jaroslaw Jankowski
    • 2
  1. 1.Department of Computer Science and Management, Institute of InformaticsWrocław University of TechnologyWrocławPoland
  2. 2.Faculty of Computer Science and Information TechnologyWest Pomeranian University of TechnologySzczecinPoland