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Social Network Analysis: Concepts and Definitions

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Abstract

The aim of this chapter is to present the main definitions and concepts associated with social network analysis. These definitions and concepts will help to understand the fundaments of graph theory and the following micro, meso- and macro-measurements.

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References

  • Barnes, J. A., & Harary, F. (1983). Graph theory in network analysis. Social Networks, 5, 235–244.

    Article  MathSciNet  Google Scholar 

  • Bondy, J. A., & Murty, U. S. R. (2008). Graph Theory. USA: Springer.

    Book  MATH  Google Scholar 

  • Bunimovich, L., & Webb, B. (2014). Isospectral Transformations: A New Approach to Analysing Multidimensional Systems and Networks. New York, USA: Springer.

    Book  Google Scholar 

  • Chen, W. K. (1997). Graph Theory and Its Engineering Applications. Singapore: World Scientific Publishing Co., Pte. Ltd.

    Book  Google Scholar 

  • Gross, L., & Yellen, J. (2004). Handbook of Graph Theory. New York, USA: CRC Press.

    MATH  Google Scholar 

  • Hansen, D., Shneiderman, B., & Smith, M. A. (2011). Analyzing Social Media Networks with NodeXL: Insights from a Connected World. Burlington, USA: Morgan Kaufmann—Elsevier.

    Google Scholar 

  • Pavlopoulos, G. A., et al. (2011). Using graph theory to analyze biological networks. BioData Mining, 4(1), 10.

    Article  Google Scholar 

  • Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52(3), 1059–1069.

    Article  Google Scholar 

  • Umeyama, S. (1988). An eigendecomposition approach to weighted graph matching problems. IEE Transactions on Pattern Analysis and Machine Intelligence, 10(5), 1988.

    Article  Google Scholar 

  • Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications. New York, USA: Cambridge University Press.

    Book  Google Scholar 

  • Wasserman, S., & Glaskiewicz, J. (1994). Advances in Social Network Analysis: Research in the Social and Behavioral. California, USA: SAGE Publications.

    Book  Google Scholar 

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Correspondence to Filipe Manuel Clemente .

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Clemente, F.M., Martins, F.M.L., Mendes, R.S. (2016). Social Network Analysis: Concepts and Definitions. In: Social Network Analysis Applied to Team Sports Analysis. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-25855-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-25855-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25854-6

  • Online ISBN: 978-3-319-25855-3

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