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

collaborators

12 papers

cs.CR2026

CARTS: Contextual Autoregressive Rank Transcoding Steganography for Full-Capacity Keyed Text Encoding

Wissam Ghantous, Alexander V. Mantzaris

Autoregressive language models can be used to transform a payload text into a stegotext of identical token length by preserving per-position rank information across contexts - a me…

cs.CV2025

Exploring the Hierarchical Reasoning Model for Small Natural-Image Classification Without Augmentation

Alexander V. Mantzaris

This paper asks whether the Hierarchical Reasoning Model (HRM) with the two Transformer-style modules , one step (DEQ-style) training, deep supervision, Rotary Position…

q-bio.PE2025

Hierarchy Entropy Degeneration Explains the Rat Utopia Population Collapse: The Role of Full Visibility and Isolation

Alexander V. Mantzaris

Calhoun's Rat Utopia experiments demonstrated a puzzling population trajectory: initial growth, plateau, and eventually a total collapse of the rat population despite abundant reso…

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…

physics.soc-ph2023

Defining the Entropy and Internal Energy of a Monetary Schelling model through the Energy States of Individual Agents

George-Rafael Domenikos, Tyler Laurie, Sahar Awaji +1

This work investigates a modified Schelling model within the scope and aims of Social Physics. The main purpose is to see if how the concepts of potential and kinetic energy can be…

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…

stat.AP2017★ 12 cited

Examining collusion and voting biases between countries during the Eurovision song contest since 1957

Alexander V. Mantzaris, Samuel R. Rein, Alexander D. Hopkins

The Eurovision Song Contest (ESC) is an annual event which attracts millions of viewers. It is an interesting activity to examine since the participants of the competition represen…

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…

q-bio.NC2012★ 73 cited

Dynamic Network Centrality Summarizes Learning in the Human Brain

Alexander V. Mantzaris, Danielle S. Bassett, Nicholas F. Wymbs +5

We study functional activity in the human brain using functional Magnetic Resonance Imaging and recently developed tools from network science. The data arise from the performance o…