A Connectionist Model-Based Approach to Centrality Discovery in Social Networks

2013 ◽  
pp. 82-94 ◽  
Author(s):  
Qingmai Wang ◽  
Xinghuo Yu ◽  
Xiuzhen Zhang
Keyword(s):  
Social Networks ◽  
Connectionist Model ◽  
Model Based

Ideology, communication and polarization

2021 ◽  
Vol 376 (1822) ◽  
pp. 20200133
Author(s):  
Yoshihisa Kashima ◽  
Andrew Perfors ◽  
Vanessa Ferdinand ◽  
Elle Pattenden
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Political Discourse ◽  
Network Dynamics ◽  
Political Polarization ◽  
Connectionist Model ◽  
Theme Issue ◽  
Social Network Dynamics ◽  
Dynamic Social Networks ◽  
Echo Chamber

Ideologically committed minds form the basis of political polarization, but ideologically guided communication can further entrench and exacerbate polarization depending on the structures of ideologies and social network dynamics on which cognition and communication operate. Combining a well-established connectionist model of cognition and a well-validated computational model of social influence dynamics on social networks, we develop a new model of ideological cognition and communication on dynamic social networks and explore its implications for ideological political discourse. In particular, we explicitly model ideologically filtered interpretation of social information, ideological commitment to initial opinion, and communication on dynamically evolving social networks, and examine how these factors combine to generate ideologically divergent and polarized political discourse. The results show that ideological interpretation and commitment tend towards polarized discourse. Nonetheless, communication and social network dynamics accelerate and amplify polarization. Furthermore, when agents sever social ties with those that disagree with them (i.e. structure their social networks by homophily), even non-ideological agents may form an echo chamber and form a cluster of opinions that resemble an ideological group. This article is part of the theme issue ‘The political brain: neurocognitive and computational mechanisms’.

scholarly journals Factor Graph Model Based User Profile Matching Across Social Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 152429-152442
Author(s):  
Lidong Wang ◽  
Keyong Hu ◽  
Yun Zhang ◽  
Shihua Cao
Keyword(s):  
Social Networks ◽  
Graph Model ◽  
User Profile ◽  
Factor Graph ◽  
Model Based ◽  
Profile Matching ◽  
Factor Graph Model

Node Attitude Aware Information Dissemination Model Based on Evolutionary Game in Social Networks

2020 ◽  
Author(s):  
Hongcheng Huang ◽  
Tingting Wang ◽  
Min Hu ◽  
Mengyuan Dong ◽  
Licheng Lai
Keyword(s):  
Social Networks ◽  
Information Dissemination ◽  
Evolutionary Game ◽  
Model Based

A Trust model based on a time decay factor for use in social networks

2020 ◽  
Vol 85 ◽  
pp. 106706
Author(s):  
Jiulei Jiang ◽  
Hanxu Wang ◽  
Weimin Li
Keyword(s):  
Social Networks ◽  
Trust Model ◽  
Time Decay ◽  
Model Based ◽  
Decay Factor

LinkedWS: A novel Web services discovery model based on the Metaphor of “social networks”

2011 ◽  
Vol 19 (1) ◽  
pp. 121-132 ◽  
Author(s):  
Zakaria Maamar ◽  
Leandro Krug Wives ◽  
Youakim Badr ◽  
Said Elnaffar ◽  
Khouloud Boukadi ◽  
...  
Keyword(s):  
Social Networks ◽  
Web Services ◽  
Model Based
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