Encyclopedia of Big Data

Living Edition
| Editors: Laurie A. Schintler, Connie L. McNeely

Network Analytics

  • Jürgen PfefferEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-32001-4_147-1


Network science; Social network analysis

Much of big data comes with relational information. People are friends with or follow each other on social media platforms, send each other emails, or call each other. Researchers around the world copublish their work, and large-scale technology networks like power grids and the Internet are the basis for worldwide connectivity. Big data networks are ubiquitous and are more and more available for researchers and companies to extract knowledge about our society or to leverage new business models based on data analytics. These networks consist of millions of interconnected entities and form complex socio-technical systems that are the fundamental structures governing our world, yet defy easy understanding. Instead, we must turn to network analytics to understand the structure and dynamics of these large-scale networked systems and to identify important or critical elements or to reveal groups. However, in the context of big data, network...

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Further Readings

  1. Batagelj, V., Mrvar, A., & de Nooy, W. (2011). Exploratory social network analysis with Pajek. (Expanded edition.). New York: Cambridge University Press.Google Scholar
  2. Brandes, U., & Pich, C. (2007). Eigensolver Methods for progressive multidimensional scaling of large data. Proceedings of the 14th International Symposium on Graph Drawing (GD’06), 42–53.Google Scholar
  3. Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1 (3), 215–239.CrossRefGoogle Scholar
  4. Hennig, M., Brandes, U., Pfeffer, J., & Mergel, I. (2012). Studying social networks. A guide to empirical research. Frankfurt: Campus Verlag.Google Scholar
  5. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Bavarian School of Public PolicyTechnical University of MunichMunichGermany