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Research Designs for Social Network Analysis

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Encyclopedia of Social Network Analysis and Mining

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Synonyms

Graph analysis; Knowledge discovery in networks; Social network mining

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)...

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References

  • Amaral LAN, Scala A, Barthelemy M, Stanley HE (2000) Classes of small-world networks. Proc Natl Acad Sci USA 97(21):11149–11152

    Article  Google Scholar 

  • Barnes JA (1954) Class and committees in a Norwegian Island parish. Hum Relat 7:39–58

    Article  Google Scholar 

  • Breiger RL (2004) The analysis of social networks. In: Hardy M, Bryman A (eds) Handbook of data analysis. Sage, London, pp 505–526

    Google Scholar 

  • Cattell V (2001) Poor people, poor places, and poor health: the mediating role of social networks and social capital. Soc Sci Med 52(10):1501–1516

    Article  Google Scholar 

  • Davis JA (1967) Clustering and structural balance in graphs. Hum Relat 20:181–187

    Article  Google Scholar 

  • Degenne A, Forse M (1999) Introducing social networks. Sage, London. MATH

    Book  MATH  Google Scholar 

  • 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 711–720

    Google Scholar 

  • Garton L, Haythorntwaite C, Wellman B (1997) Studying online social networks. J Comput-Mediat Commun 3(1). http://jcmc.indiana.edu/vol3/issue1/garton.html

    Google Scholar 

  • 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 282–286

    Google Scholar 

  • Granovetter MS (1983) The strength of weak ties: a network theory revisited. Sociol Theory 1:201–233

    Article  Google Scholar 

  • Hanneman R, Riddle M (2005) Introduction to social network methods. Online textbook. Available from Internet: http://faculty.ucr.edu/~hanneman/nettext/ (01 04 2006)

  • Howard B (2008) Analyzing online social networks. Commun ACM 51(11):14–16

    Article  Google Scholar 

  • 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 111–120

    Google Scholar 

  • Krebs V (2000) The social life of routers. Internet Protoc J 3:14–25

    Google Scholar 

  • Lazega E (2001) The collegial phenomenon. The social mechanism of co-operation among peers in a corporate law partnership. Oxford University Press, Oxford

    Book  Google Scholar 

  • 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 556–559

    Google Scholar 

  • Montgomery J (1991) Social networks and labor-market outcomes: toward an economic analysis. Am Econ Rev 81(5):1407–1418

    Google Scholar 

  • Morris M (1997) Sexual network and HIV. AIDS 11:206–219

    Article  Google Scholar 

  • Musial K, Kazienko P (2012) Social networks on the internet. World Wide Web J. doi:10.1007/s11280-011-0155-z

    Google Scholar 

  • Newman MEJ (2001) The structure of scientific collaboration networks. Natl Acad Sci USA 98:404–409. MATH

    Article  MathSciNet  MATH  Google Scholar 

  • 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):793–804

    Article  Google Scholar 

  • Pool I, Kochen M (1978) Contacts and influence. Soc Netw 1(1):5–51. MathSciNet

    Article  MathSciNet  Google Scholar 

  • Robins GL, Alexander M (2004) Small worlds among interlocking directors: network structure and distance in bipartite graphs. Comput Math Organ Theory 10:69–94. MATH

    Article  MATH  Google Scholar 

  • Travers J, Milgram S (1969) An experimental study of the small world problem. Sociometry 32(4):425–443

    Article  Google Scholar 

  • Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, New York

    Book  MATH  Google Scholar 

  • 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 425–443

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Informatics, King’s College London, London, UK

    Katarzyna Musial

  2. Department of Computing and Informatics, Bournemouth University, Poole, UK

    Katarzyna Musial

Authors
  1. Katarzyna Musial
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Corresponding author

Correspondence to Katarzyna Musial .

Editor information

Editors and Affiliations

  1. Computer Science, University of Calgary, Calgary, Alberta, Canada

    Reda Alhajj

  2. University of Calgary Computer Science, Calgary, Canada

    Jon Rokne

Section Editor information

  1. Department of Computer Science and Management, Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

    Przemysław Kazienko

  2. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland

    Jaroslaw Jankowski

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Musial, K. (2016). Research Designs for Social Network Analysis. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_246-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_246-1

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7163-9

  • Online ISBN: 978-1-4614-7163-9

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