Skip to main content

uPATO—Collective Measures

  • Chapter
  • First Online:
  • 188 Accesses

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

Abstract

A collection of metrics is presented in this chapter. This collection is categorized as meso-level (subgroup) or team metrics, depending on the scope. Each metric includes a description of a possible interpretation of the metric, and the pseudocode to implement it. Each pseudocode describes the cases for which it can be used (unweighted graphs, unweighted digraphs, weighted graphs, or weighted digraphs). When the description simply contains graph (or graphs), without any other specifier, it means that the pseudocode is valid for any of the four types of graphs. The included interpretation considers that the connections between the players are the passes performed between them.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

References

  1. F.M. Clemente, F.M.L. Martins, R.S. Mendes, Social Network Analysis Applied to Team Sports Analysis, 1 edn. (Springer International Publishing, 2016)

    Google Scholar 

  2. M. Couceiro Couceiro, F.M.C. Clemente, F. Martins, F. Martins, Toward the evaluation of research groups based on scientific co-authorship networks: the robocorp case study. Arab Gulf J. Sci. Res. 31(1), 36–52 (2013)

    Google Scholar 

  3. J.G. Foster, D.V. Foster, P. Grassberger, M. Paczuski, Edge direction and the structure of networks. Proc. Natl. Acad. Sci. 107(24), 10815–10820 (2010)

    Article  Google Scholar 

  4. S. Horvath, Weighted Network Analysis: Applications in Genomics and Systems Biology (Springer, Bücher, New York, 2011)

    Book  Google Scholar 

  5. A. Li, S. Horvath, Network neighborhood analysis with the multi-node topological overlap measure. Bioinformatics 23(2), 222–231 (2007)

    Article  Google Scholar 

  6. M.E.J. Newman, Mixing patterns in networks. Phys. Rev. E 67, 026126 (2003)

    Article  MathSciNet  Google Scholar 

  7. M. Piraveenan, M. Prokopenko, A. Zomaya, Assortative mixing in directed biological networks. IEEE/ACM Trans. Comput. Biol. Bioinform. 9(1), 66–78 (2012)

    Article  Google Scholar 

  8. T.C. Silva, L. Zhao, Machine Learning in Complex Networks (Springer Publishing Company, Inc., 2013)

    Google Scholar 

  9. G. Thedchanamoorthy, M. Piraveenan, D. Kasthuriratna, U. Senanayake, Node assortativity in complex networks: an alternative approach. Procedia Comput. Sci. 29, 2449–2461 (2014). 2014 International Conference on Computational Science

    Google Scholar 

  10. S. Wasserman, K. Faust, Social Network Analysis: Methods and Applications, Structural Analysis in the Social Sciences (Cambridge University Press, 1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Frutuoso G. M. Silva .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 The Author(s), under exclusive license to Springer Nature Switzerland AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Silva, F.G.M., Nguyen, Q.T., Correia, A.F.P.P., Clemente, F.M., Martins, F.M.L. (2019). uPATO—Collective Measures. In: Ultimate Performance Analysis Tool (uPATO). SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-99753-7_4

Download citation

Publish with us

Policies and ethics