Controllability of an interaction network constructed from an event stream

Authors

  • Adrian Chester Balingit ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • May Lim ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

Event streams provide temporal data that can be represented by networks. Here, we construct an interaction network from an event stream taken from the Twitter public API stream, where nodes represent users and edges represent activity between users. We characterize the network based on the component sizes and degree distribution and show both follows power-law distributions. We also measure its structural controllability based on the minimum driver node density. The construction and analysis of the network allows us to analyze an event stream structurally and provide insights that can only be derived from its network representation.

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Issue

Article ID

SPP-2018-PC-42

Section

Poster Session C (Mathematical Physics, Optics, and Interdisciplinary Topics)

Published

2018-05-29

How to Cite

[1]
AC Balingit and M Lim, Controllability of an interaction network constructed from an event stream, Proceedings of the Samahang Pisika ng Pilipinas 36, SPP-2018-PC-42 (2018). URL: https://proceedings.spp-online.org/article/view/SPP-2018-PC-42.