Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/13409
Title: Similarity Forces and Recurrent Components in Human Face-to-Face Interaction Networks
Authors: Flores, Marco Antonio Rodríguez 
Papadopoulos, Fragkiskos 
Keywords: Social dynamics;Interaction networks;Psychological model
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 18-Dec-2018
Publisher: American Physical Society
Source: Physical Review Letters, 2018, vol. 121, no. 25
Project: Network for sOcial compuTing REsearch (NOTRE) 
Journal: Physical Review Letters 
Abstract: We show that the social dynamics responsible for the formation of connected components that appear recurrently in face-to-face interaction networks find a natural explanation in the assumption that the agents of the temporal network reside in a hidden similarity space. Distances between the agents in this space act as similarity forces directing their motion towards other agents in the physical space and determining the duration of their interactions. By contrast, if such forces are ignored in the motion of the agents recurrent components do not form, although other main properties of such networks can still be reproduced.
URI: http://ktisis.cut.ac.cy/handle/10488/13409
ISSN: 0031-9007
DOI: 10.1103/PhysRevLett.121.258301
Rights: © 2018 American Physical Society.
Type: Article
Appears in Collections:Άρθρα/Articles

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