Skip to main content

Process of Social Network Analysis

  • Reference work entry
  • First Online:
Encyclopedia of Social Network Analysis and Mining


Research design; Research methodology



CRoss-Industry Standard Process for Data Mining – a model for analytical processes in data mining developed by practitioners from several companies


Sample, Explore, Modify, Model, and Assess – a list of sequential stages developed by SAS Institute Inc. for efficient implementation of data mining applications

SN :

Social network


Social network analysis


The process of social network analysis (SNA) is a series of steps (stages) performed to achieve certain goals by means of analytical tools applied to social network data.

In general, six main generic stages of the SNA process can be enumerated:

  1. 1.

    Problem definition

  2. 2.

    Data gathering and preparation

  3. 3.

    Social network modelling

  4. 4.

    Knowledge extraction

  5. 5.


  6. 6.

    Interpretation and deployment

Each of the above stages should provide some outcome for the next stage, but it is also possible to go back to some previous stages, for example, in order...

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

Access this chapter

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD 1,500.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


  • ASA Code of Ethics (1999) Code of ethics and policies and procedures of the ASA committee on professional ethics. American Sociological Association, Washington

    Google Scholar 

  • Azevedo A, Santos MF (2008) KDD, SEMMA and CRISP-DM: a parallel overview. In: IADIS European conference data mining, Amsterdam, pp 182–185

    Google Scholar 

  • Bródka P, Kazienko P, Saganowski S (2013) GED: the method for group evolution discovery in social networks. Soc Netw Anal Min 3(1):1–14

    Google Scholar 

  • Chapman P, Clinton J, Kerber R, Khabaza T, Reinartz T, Shearer C, Wirth R (2000) CRISP-DM 1.0, CRISP-DM consortium. Accessed 24 May 2013

  • Chen C, Yan X, Zhu F, Han J, Yu PS (2009) Graph OLAP: a multi-dimensional framework for graph data analysis. Knowl Inf Syst 21(1):41–63

    Google Scholar 

  • Cios KJ, Pedrycz W, Swiniarski RW, Kurgan LA (2007) Data mining: a knowledge discovery approach. Springer, New York

    Google Scholar 

  • Filipowski T, Kazienko P, Bródka P, Kajdanowicz T (2012) Knowledge exchange through social links in the workplace. Behav Inf Technol 31(8): 779–790

    Google Scholar 

  • Glattfelder JB, Battiston S (2009) Backbone of complex networks of corporations: the flow of control. Phys Rev E 80:036104

    Google Scholar 

  • Juszczyszyn K, Gonczarek A, Tomczak JM, Musial K (2012) A probabilistic approach to structural change prediction in evolving social networks. In: ASONAM 2012, Istanbul. IEEE Computer Society, Los Alamitos, pp 1028–1033

    Google Scholar 

  • Kaminski MM (2004) Games prisoners play. Princeton University Press, Princeton

    Google Scholar 

  • Kazienko P, Musial K, Kukla E, Kajdanowicz T, Bródka P (2011) Multidimensional social network: model and analysis. In: ICCCI 2011, Gdynia. LNAI 6922. Springer, New York, pp 378–387

    Google Scholar 

  • Maimon O, Rokach L (eds) (2005) The data mining and knowledge discovery handbook. Springer, New York

    Google Scholar 

  • Malinowski B (1929) The sexual life of savages in north-western Melanesia: an ethnographic account of courtship, marriage and family life among the natives of the Trobriand Islands, British New Guinea. Halcyon House, New York

    Google Scholar 

  • Marbán O, Mariscal G, Segovia J (2009) A data mining & knowledge discovery process model (Chapter 1 in Ponce J). In: Karahoca A (eds) Data mining and knowledge discovery in real life applications. I-Tech Education and Publishing, Vienna. Open access, doi:10.5772/6438

    Google Scholar 

  • Moreno JL (1934) Who shall survive? Foundations of sociometry, group psychotherapy, and sociodrama. Nervous and Mental Disease, Washington

    Google Scholar 

  • Musial K, Kazienko P (2013) Social networks on the internet. World Wide Web 16(1):31–72

    Google Scholar 

  • Musial K, Kazienko P, Bródka P (2009) User position measures in social networks. In: The third SNA-KDD workshop on social network mining and analysis, in conjunction with KDD 2009, Paris. ACM Press, New York. (Article no. 6)

    Google Scholar 

  • Patel T, Thompson W, Stephens C (2010) Data mining 101: how to reveal new insights in existing data to improve performance. SAS Institute Inc., Cary

    Google Scholar 

  • Rohanizadeha SS, Moghadama MB (2009) A proposed data mining methodology and its application to industrial procedures. J Ind Eng 4(2009):37–50

    Google Scholar 

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

    Google Scholar 

Recommended Reading

  • Kothari CR (2012) Research methodology: methods and techniques. New Age International, Delhi. ISBN: 978-81-224-1522-3

    Google Scholar 

  • Wolfe AW (2010) Anthropologist view of social network analysis and data mining. Soc Netw Anal Min 1(1): 3–19

    Google Scholar 

Download references


The work was partially supported by The Polish Ministry of Science and Higher Education the research project, 2010–2013.

Author information

Authors and Affiliations


Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Kazienko, P. (2014). Process of Social Network Analysis. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY.

Download citation

Publish with us

Policies and ethics