Skip to main content
SpringerLink
Log in

Social Communication Network, Case Study

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

  • 229 Accesses

Synonyms

Call network; Communication network; Interaction network; Mobile network; Social interaction

Glossary

SNA:

Social network analysis

SP:

Shortest path

DC:

Degree centrality

BC:

Betweenness centrality

CC:

Closeness centrality

IM:

Instant messaging

Definition

Social network is formally defined as a set of social actors that are connected by one or more types of relations (Wasserman and Faust 1994). Social actors can be individuals, groups, organizations and even any units that can be connected to other units such as web pages, blogs, emails, instant messages, families, journal articles, neighborhoods, classes, sectors within organizations, positions, or nations (Furht 2010).

Social communication network is one of the most important social networks. In a social communication network, social actors are mostly persons, and the relationship between them is established for the purpose of communication. In a social communication network, social actors use communication tools such as...

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
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

References

  • Dong Z, Song G, Xie K, Wang J (2009) An experimental study of large-scale mobile social network. In: Proceedings of the 18th international conference on World wide web. ACM, pp 1175–1176

    Google Scholar 

  • Eagle N, Macy M, Claxton R (2010) Network diversity and economic development. Science 328(5981):1029– 1031. doi:10.1126/science.1186605

    MATH  MathSciNet  Google Scholar 

  • Furht B (2010) Handbook of social network technologies and applications. Springer, New York

    Google Scholar 

  • Granovetter M (1973) The strength of weak ties. Am J Sociol 78(6):1360–1380

    Google Scholar 

  • Granovetter M (1983) The strength of weak ties: a network theory revisited. In: Sociological theory, Wiley, New Jersey, pp 201–233

    Google Scholar 

  • Leskovec J, Horvitz E (2008) Planetary-scale views on a large instant-messaging network. In: Proceedings of the 17th international conference on World Wide Web, WWW '08, Beijing, China. ACM, New York, pp 915– 924

    Google Scholar 

  • Magnien C, Latapy M, Habib M (2009) Fast computation of empirically tight bounds for the diameter of massive graphs. J Exp Algorithmics 13:10:1.10–10:1.9

    Google Scholar 

  • Nanavati AA, Gurumurthy S, Das G, Chakraborty D, Dasgupta K, Mukherjea S, Joshi A (2006) On the structural properties of massive telecom call graphs: findings and implications. In: Proceedings of the 15th ACM international conference on Information and knowledge management, CIKM '06. ACM, New York, pp 435–444

    Google Scholar 

  • Newman MEJ (2002) Assortative mixing in networks. Phys Rev Lett 89(20):208701

    Google Scholar 

  • Newman M, Forrest S, Balthrop J (2002) Email networks and the spread of computer viruses. Phys Rev E 66(3):035101

    Google Scholar 

  • Onnela JP, Saramaki J, Hyvonen J, Szab G, de Menezes MA, Kaski K, Barabsi AL, Kertsz J (2007) Analysis of a large-scale weighted network of one-to-one human communication. New J Phys 9(6):179

    Google Scholar 

  • Pastor-Satorras R, Vazquez A, Vespignani A (2001) Dynamical and correlation properties of the internet. Phys Rev Lett 87(25):258701

    Google Scholar 

  • Saramaki J, pekka Onnela J (2007) Structure and tie strengths in mobile communication networks. Proc Natl Acad Sci 104(18):7332–7336

    Google Scholar 

  • Seshadri M, Machiraju S, Sridharan A, Bolot J, Faloutsos C, Leskove J (2008) Mobile call graphs: beyond power-law and lognormal distributions. In: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, Las Vegas, Nevada, USA, KDD '08. ACM, New York, pp 596–604

    Google Scholar 

  • Shannon C (2001) A mathematical theory of communication. ACM SIGMOBILE Mobile Comput Commun Rev 5(1):3–55

    Google Scholar 

  • Wang C, Zhang Y, Chen X, Liu Z, Shi L, Chen G, Qiu F, Ying C, Lu W (2010) A behavior-based sms antispam system. IBM J Res Dev 54(6):3

    Google Scholar 

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

    Google Scholar 

  • Weaver N, Paxson V, Staniford S, Cunningham R (2003) A taxonomy of computer worms. In: Proceedings of the 2003 ACM workshop on Rapid malcode. Washington, DC, USA, ACM, pp 11–18

    Google Scholar 

  • Zou C, Towsley D, Gong W (2004) Email worm modeling and defense. In: Proceedings, 13th International Conference on Computer communications and networks, ICCCN 2004. Chicago, Illinois, IEEE, pp 409–414

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science, Fudan University, Shanghai, China

    Bo Xu, Deqing Yang, Qi Liu & Yanghua Xiao

Authors
  1. Bo Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Deqing Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qi Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yanghua Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

  2. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Jon Rokne

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Xu, B., Yang, D., Liu, Q., Xiao, Y. (2014). Social Communication Network, Case Study. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_289

Download citation

Publish with us

Policies and ethics

Search

Navigation