Data Driven Modeling of Continuous Time Information Diffusion in Social Networks

2017 ◽  
Author(s):  
Liang Liu ◽  
Bin Chen ◽  
Bo Qu ◽  
Lingnan He ◽  
Xiaogang Qiu
Keyword(s):  
Social Networks ◽  
Continuous Time ◽  
Information Diffusion ◽  
Data Driven ◽  
Data Driven Modeling ◽  
Time Information

scholarly journals Data-driven modeling of leading-following behavior in Bechstein’s bats

2019 ◽  
Author(s):  
Pavlin Mavrodiev ◽  
Daniela Fleischmann ◽  
Gerald Kerth ◽  
Frank Schweitzer
Keyword(s):  
Social Networks ◽  
Empirical Data ◽  
The Other ◽  
Data Driven ◽  
Data Sets ◽  
Individual Preferences ◽  
Empirical Information ◽  
Communal Roosting ◽  
Data Driven Modeling

AbstractLeading-following behaviour in Bechstein’s bats transfers information about suitable roost sites from experienced to inexperienced individuals, and thus ensures communal roosting. We analyze 9 empirical data sets about individualized leading-following (L/F) events, to infer rules that likely determine the formation of L/F pairs. To test these rules, we propose five models that differ regarding the empirical information taken into account to form L/F pairs: activity of a bat in exploring possible roosts, tendency to lead and to follow. The comparison with empirical data was done by constructing social networks from the observed L/F events, on which centralities were calculated to quantify the importance of individuals in these L/F networks. The centralities from the empirical network are then compared for statistical differences with the model-generated centralities obtained from 105 model realizations. We find that two models perform well in comparison with the empirical data: One model assumes an individual tendency to lead, but chooses followers at random. The other model assumes an individual tendency to follow and chooses leaders according to their overall activity. We note that neither individual preferences for specific individuals, nor other influences such as kinship or reciprocity, are taken into account to reproduce the empirical findings.

scholarly journals Data-Driven Modeling and Analysis of Online Social Networks

2011 ◽  
pp. 3-17 ◽  
Author(s):  
Divyakant Agrawal ◽  
Bassam Bamieh ◽  
Ceren Budak ◽  
Amr El Abbadi ◽  
Andrew Flanagin ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Data Driven ◽  
Modeling And Analysis ◽  
Data Driven Modeling

Parallel Data-Driven Modeling of Information Spread in Social Networks

2018 ◽  
pp. 247-259 ◽  
Author(s):  
Oksana Severiukhina ◽  
Klavdiya Bochenina ◽  
Sergey Kesarev ◽  
Alexander Boukhanovsky
Keyword(s):  
Social Networks ◽  
Data Driven ◽  
Parallel Data ◽  
Information Spread ◽  
Data Driven Modeling

scholarly journals Are college campuses superspreaders? A data-driven modeling study

2021 ◽  
pp. 1-11
Author(s):  
Hannah Lu ◽  
Cortney Weintz ◽  
Joseph Pace ◽  
Dhiraj Indana ◽  
Kevin Linka ◽  
...  
Keyword(s):  
College Campuses ◽  
Data Driven ◽  
Data Driven Modeling ◽  
Modeling Study
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