• DocumentCode
    731023
  • Title

    Measuring the strength of networks of teams: Metrics and properties

  • Author

    Assarpour, Ali ; Farhat, Saman ; Ou Liu ; Nikolaev, Alexey ; Bar-Noy, Amotz ; Basu, Prithwish ; Mneimneh, Saad ; Ramanathan, Ram

  • Author_Institution
    City Univ. of New York, New York, NY, USA
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    414
  • Lastpage
    419
  • Abstract
    A Network of Teams (NoT) is a set of overlapping teams working toward a common goal. NoTs arise in several contexts such as large software projects, sensors cooperating for target tracking, and terrorist cell networks. Modeling a NoT as a simplicial complex, we consider the problem of quantifying the strength of a NoT using metrics based purely on its structure. While the design of a metric clearly depends on the context in question, most applications require the metric to be monotonic. We define three kinds of monotonicity - weak, team, and structural - depending upon whether we add/remove nodes, entire teams, or facets, respectively We propose seven metrics and analyze their monotonicity, both mathematically and experimentally. Specifically, we prove that some metrics or monotonic, and show that some or not by providing counter examples. For nonmonotonic metrics, we generate random simplicial complexes using a number of models, and estimate the fraction of cases for which a metric is not monotonic.
  • Keywords
    groupware; NoT modeling; networks of teams; nonmonotonic metrics; sensors; software projects; strength measurement; target tracking; terrorist cell networks; Collaboration; Communication networks; Conferences; Context; Face; Measurement; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2015.7179420
  • Filename
    7179420