Alexander V. Mantzaris

Orcid: 0000-0002-0026-5725

According to our database1, Alexander V. Mantzaris authored at least 31 papers between 2009 and 2023.

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Bibliography

2023
reg-sgc: An open-source software for regularized Simple Graph Convolution.
SoftwareX, February, 2023

2022
Controversial information spreads faster and further than non-controversial information in Reddit.
J. Comput. Soc. Sci., May, 2022

Exploring the Regularized SGC in application to social network data.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

Exploring the connectivity of memes and emotions of images through the use of Tagasaurus.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

Link prediction with Simple Graph Convolution and regularized Simple Graph Convolution.
Proceedings of the ICISDM 2022: 2022 the 6th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27, 2022

Entropy-Based Characterization of Influence Pathways in Traditional and Social Media.
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

2021
Tagasaurus, a tool to assist manual image tagging and the creation of image collections.
Softw. Impacts, 2021

Exploring the disparity of influence between users in the discussion of Brexit on Twitter: Twitter influence disparity in Brexit If so, write it here.
J. Comput. Soc. Sci., 2021

Exploring the Value of Nodes with Multicommunity Membership for Classification with Graph Convolutional Neural Networks.
Inf., 2021

Exploring a link between network topology and active learning.
Proceedings of the Twelfth International Conference on Ubiquitous and Future Networks, 2021

2020
Exploiting Weak Ties in Incomplete Network Datasets Using Simplified Graph Convolutional Neural Networks.
Mach. Learn. Knowl. Extr., 2020

Regularized Simple Graph Convolution (SGC) for improved interpretability of large datasets.
J. Big Data, 2020

Controversial information spreads faster and further in Reddit.
CoRR, 2020

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks.
CoRR, 2020

On Countering Disinformation with Caution: Effective Inoculation Strategies and Others that Backfire into Community Hyper-Polarization.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Adaptive network diagram constructions for representing big data event streams on monitoring dashboards.
J. Big Data, 2019

An LSTM Model for Predicting Cross-Platform Bursts of Social Media Activity.
Inf., 2019

Exploring Social Media Network Landscape of Post-Soviet Space.
IEEE Access, 2019

2018
Preference and neglect amongst countries in the Eurovision Song Contest.
J. Comput. Soc. Sci., 2018

Examining Collusion and Voting Biases Between Countries During the Eurovision Song Contest Since 1957.
J. Artif. Soc. Soc. Simul., 2018

Exploring How Homophily and Accessibility Can Facilitate Polarization in Social Networks.
Inf., 2018

Examining the Schelling Model Simulation through an Estimation of Its Entropy.
Entropy, 2018

How polarization can provide an increase in content dissemination amongst the highly ranked influencers.
CoRR, 2018

2014
Uncovering nodes that spread information between communities in social networks.
EPJ Data Sci., 2014

Anticipating Activity in Social Media Spikes.
CoRR, 2014

2013
Discovering and validating influence in a dynamic online social network.
Soc. Netw. Anal. Min., 2013

Dynamic network centrality summarizes learning in the human brain.
J. Complex Networks, 2013

2012
Dynamic Targeting in an Online Social Medium.
Proceedings of the Social Informatics, 2012

Demonstration of Dynamic Targeting in an Online Social Medium.
Proceedings of the Social Informatics, 2012

2009
Distinguishing Regional from Within-Codon Rate Heterogeneity in DNA Sequence Alignments.
Proceedings of the Pattern Recognition in Bioinformatics, 2009


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