Understanding dynamic interactions

Alexander Vassilios Mantzaris, Desmond J. Higham

Research output: Contribution to conferencePaper

Abstract

We outline some recent mathematical and computational
ideas that deal with dynamic patterns of connectivity in
digital communication. Typical examples are email, voice
mail and on-line interactions. This new branch of network
science addresses issues such as: where is the best place and
time to start a rumour, which players have the ability to
exploit the dynamic structure most eectively and how will
the network evolution respond to external stimulus? In a
new experiment we apply dynamic centrality measures to
an email data set involving Enron employees. This reveals
how an individual's ability to communicate across the dy-
namic network correlates with their position in the company
hierarchy.
Original languageEnglish
Number of pages2
Publication statusPublished - 15 Nov 2011
EventDigital Engagement - Newcastle, United Kingdom
Duration: 15 Nov 201117 Nov 2011

Conference

ConferenceDigital Engagement
CountryUnited Kingdom
CityNewcastle
Period15/11/1117/11/11

Keywords

  • dynamic interactions
  • understanding
  • dynamic patterns
  • connectivity
  • digital communication
  • on-line interactions
  • email
  • voice

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  • Cite this

    Mantzaris, A. V., & Higham, D. J. (2011). Understanding dynamic interactions. Paper presented at Digital Engagement, Newcastle, United Kingdom.