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Proceedings Paper

The role of motifs in understanding behavior in social and engineered networks
Author(s): Dave Braines; Diane Felmlee; Don Towsley; Kun Tu; Roger M. Whitaker; Liam D. Turner
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Paper Abstract

Within networks one can identify motifs that are significant recurring patterns of interaction between nodes. Here motifs are sub-graphs that occur more frequently than would be explained by random connections. Graphs can be used to model internal network structures of human groups, or links between groups, with group dynamics being governed by these structures. Graphs can also model behavior in engineered systems, and internal network structures can significantly affect dynamic behavior. A graph may only be partially visible (such as in hostile or coalition environments), however detectable network motifs may in some cases be reflective of the entire graph. We outline a research plan and describe basic network motifs and their properties, along with current analytic techniques for static and dynamic settings. We offer suggestions as to how network motif techniques can be applied to intra- or inter- group behavior, for example to detect whether multiple groups behave as a co-operative alliance, or whether coalition networks inter-operate in positive ways. As an example, we examine a complex time-series graph dataset relevant to coalition focused aspects of the class of networks under study, specifically related to the social network resulting from the authorship of academic papers within a coalition. We provide details of the basic analysis of this network over time and outline how this can be used as one of the datasets for our planned network motif research activities, especially with regards to the temporal and evolutionary aspects.

Paper Details

Date Published: 27 April 2018
PDF: 13 pages
Proc. SPIE 10653, Next-Generation Analyst VI, 106530W (27 April 2018); doi: 10.1117/12.2309471
Show Author Affiliations
Dave Braines, IBM United Kingdom Ltd. (United Kingdom)
Diane Felmlee, The Pennsylvania State Univ. (United States)
Don Towsley, Univ. of Massachusetts Amherst (United States)
Kun Tu, Univ. of Massachusetts Amherst (United States)
Roger M. Whitaker, Cardiff Univ. (United Kingdom)
Liam D. Turner, Cardiff Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 10653:
Next-Generation Analyst VI
Timothy P. Hanratty; James Llinas, Editor(s)

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