Coevolution of a multilayer node-aligned network whose layers represent different social relations

Abstract Background We examine the coevolution of three-layer node-aligned network of university students. The first layer is defined by nominations based on perceived prominence collected from repeated surveys during the first four semesters; the second is a behavioral layer representing actual stu...

Full description

Bibliographic Details
Main Authors: Ashwin Bahulkar, Boleslaw K. Szymanski, Kevin Chan, Omar Lizardo
Format: Article
Language:English
Published: SpringerOpen 2017-11-01
Series:Computational Social Networks
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40649-017-0047-1
id doaj-a7f532768cf948838277baad7c6c22da
record_format Article
spelling doaj-a7f532768cf948838277baad7c6c22da2021-03-02T10:41:47ZengSpringerOpenComputational Social Networks2197-43142017-11-014112210.1186/s40649-017-0047-1Coevolution of a multilayer node-aligned network whose layers represent different social relationsAshwin Bahulkar0Boleslaw K. Szymanski1Kevin Chan2Omar Lizardo3Rensselaer Polytechnic InstituteRensselaer Polytechnic InstituteUS Army Research LaboratoryUniversity of Notre DameAbstract Background We examine the coevolution of three-layer node-aligned network of university students. The first layer is defined by nominations based on perceived prominence collected from repeated surveys during the first four semesters; the second is a behavioral layer representing actual students’ interactions based on records of mobile calls and text messages; while the third is a behavioral layer representing potential face-to-face interactions suggested by bluetooth collocations. Methods We address four interrelated questions. First, we ask whether the formation or dissolution of a link in one of the layers precedes or succeeds the formation or dissolution of the corresponding link in another layer (temporal dependencies). Second, we explore the causes of observed temporal dependencies between the layers. For those temporal dependencies that are confirmed, we measure the predictive capability of such dependencies. Third, we observe the progress towards nominations and the stages that lead to them. Finally, we examine whether the differences in dissolution rates of symmetric (undirected) versus asymmetric (directed) links co-exist in all layers. Results We find strong patterns of reciprocal temporal dependencies between the layers. In particular, the creation of an edge in either behavioral layer generally precedes the formation of a corresponding edge in the nomination layer. Conversely, the decay of a link in the nomination layer generally precedes a decline in the intensity of communication and collocation. Finally, nodes connected by asymmetric nomination edges have lower overall communication and collocation volumes and more asymmetric communication flows than the nodes linked by symmetric edges. Conclusion We find that creation and dissolution of cognitively salient contacts have temporal dependencies with communication and collocation behavior.http://link.springer.com/article/10.1186/s40649-017-0047-1Coevolution of network layersMachine learning for social network analysisNetSense dataset
collection DOAJ
language English
format Article
sources DOAJ
author Ashwin Bahulkar
Boleslaw K. Szymanski
Kevin Chan
Omar Lizardo
spellingShingle Ashwin Bahulkar
Boleslaw K. Szymanski
Kevin Chan
Omar Lizardo
Coevolution of a multilayer node-aligned network whose layers represent different social relations
Computational Social Networks
Coevolution of network layers
Machine learning for social network analysis
NetSense dataset
author_facet Ashwin Bahulkar
Boleslaw K. Szymanski
Kevin Chan
Omar Lizardo
author_sort Ashwin Bahulkar
title Coevolution of a multilayer node-aligned network whose layers represent different social relations
title_short Coevolution of a multilayer node-aligned network whose layers represent different social relations
title_full Coevolution of a multilayer node-aligned network whose layers represent different social relations
title_fullStr Coevolution of a multilayer node-aligned network whose layers represent different social relations
title_full_unstemmed Coevolution of a multilayer node-aligned network whose layers represent different social relations
title_sort coevolution of a multilayer node-aligned network whose layers represent different social relations
publisher SpringerOpen
series Computational Social Networks
issn 2197-4314
publishDate 2017-11-01
description Abstract Background We examine the coevolution of three-layer node-aligned network of university students. The first layer is defined by nominations based on perceived prominence collected from repeated surveys during the first four semesters; the second is a behavioral layer representing actual students’ interactions based on records of mobile calls and text messages; while the third is a behavioral layer representing potential face-to-face interactions suggested by bluetooth collocations. Methods We address four interrelated questions. First, we ask whether the formation or dissolution of a link in one of the layers precedes or succeeds the formation or dissolution of the corresponding link in another layer (temporal dependencies). Second, we explore the causes of observed temporal dependencies between the layers. For those temporal dependencies that are confirmed, we measure the predictive capability of such dependencies. Third, we observe the progress towards nominations and the stages that lead to them. Finally, we examine whether the differences in dissolution rates of symmetric (undirected) versus asymmetric (directed) links co-exist in all layers. Results We find strong patterns of reciprocal temporal dependencies between the layers. In particular, the creation of an edge in either behavioral layer generally precedes the formation of a corresponding edge in the nomination layer. Conversely, the decay of a link in the nomination layer generally precedes a decline in the intensity of communication and collocation. Finally, nodes connected by asymmetric nomination edges have lower overall communication and collocation volumes and more asymmetric communication flows than the nodes linked by symmetric edges. Conclusion We find that creation and dissolution of cognitively salient contacts have temporal dependencies with communication and collocation behavior.
topic Coevolution of network layers
Machine learning for social network analysis
NetSense dataset
url http://link.springer.com/article/10.1186/s40649-017-0047-1
work_keys_str_mv AT ashwinbahulkar coevolutionofamultilayernodealignednetworkwhoselayersrepresentdifferentsocialrelations
AT boleslawkszymanski coevolutionofamultilayernodealignednetworkwhoselayersrepresentdifferentsocialrelations
AT kevinchan coevolutionofamultilayernodealignednetworkwhoselayersrepresentdifferentsocialrelations
AT omarlizardo coevolutionofamultilayernodealignednetworkwhoselayersrepresentdifferentsocialrelations
_version_ 1724236329956409344