activity
20122026
most citedDynamic Network Centrality Summarizes Learning in the Human Brain

73 citations · 113 across the 12 of their papers we have counts for

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Showing cs.SIShow all

6 papers · 1 filter

cs.SI2024

Analyzing X's Web of Influence: Dissecting News Sharing Dynamics through Credibility and Popularity with Transfer Entropy and Multiplex Network Measures

Sina Abdidizaji, Alexander Baekey, Chathura Jayalath +3

The dissemination of news articles on social media platforms significantly impacts the public's perception of global issues, with the nature of these articles varying in credibilit…

cs.SI2020★ 20 cited

Controversial information spreads faster and further in Reddit

Jasser Jasser, Ivan Garibay, Steve Scheinert +1

Online users discuss and converse about all sorts of topics on social networks. Facebook, Twitter, Reddit are among many other networks where users can have this freedom of informa…

cs.SI2020★ 1 cited

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks

Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi +23

This paper explains the design of a social network analysis framework, developed under DARPA's SocialSim program, with novel architecture that models human emotional, cognitive and…

cs.SI2018

How polarization can provide an increase in content dissemination amongst the highly ranked influencers

Cameron E. Taylor, Ivan Garibay, Alexander V. Mantzaris

This work extends a model of simulating influence in a network of stochastic edge dynamics to account for polarization. The model built upon is termed Dynamic Communicators and see…

cs.SI2014★ 7 cited

Anticipating Activity in Social Media Spikes

Desmond J. Higham, Peter Grindrod, Alexander V. Mantzaris +2

We propose a novel mathematical model for the activity of microbloggers during an external, event-driven spike. The model leads to a testable prediction of who would become most ac…

cs.SI2014

Uncovering nodes that spread information between communities in social networks

Alexander V. Mantzaris

From many datasets gathered in online social networks, well defined community structures have been observed. A large number of users participate in these networks and the size of t…