activity
20062025
most citedOverlapping Community Detection in Networks: the State of the Art and Comparative Study

937 citations · 4.5k across the 100 of their papers we have counts for

collaborators

103 papers

cs.SI2025

Analysis of Collaboration in CS Prizewinning with a Nobel-Turing Comparison

Boleslaw K. Szymanski, Yongtao Zhang, Brian Uzzi +1

In the scientific community, prizes play a pivotal role in shaping research trajectories by conferring credibility and offering financial incentives to researchers. Yet, we know li…

cs.SI2025

An experimental study of the influence of anonymous information on social media users

Boleslaw K. Szymanski, Brendan Cross, John Hulton +3

Increasingly, people use social media for their day-to-day interactions and as a source of information, even though much of this information is practically anonymous. This raises t…

cs.SI2025

Hierarchical community detection benchmark for heterogeneous inter-community connectivity

Brendan Cross, Boleslaw K. Szymanski

Here, we introduce a new tool for community detection, a generator of networks, which uses parameters to control the structure of created networks. Typically, network scientists de…

cs.SI2025

Using LLMs to Infer Non-Binary COVID-19 Sentiments of Chinese Micro-bloggers

Jerry Chongyi Hu, Mohammed Shahid Modi, Boleslaw K. Szymanski

Studying public sentiment during crises is crucial for understanding how opinions and sentiments shift, resulting in polarized societies. We study Weibo, the most popular microblog…

physics.soc-ph2024★ 1 cited

Analysis of flows in social media uncovers a new multi-step model of information spread

Matteo Serafino, G. Virginio Clemente, James Flamino +3

Since the advent of the internet, communication paradigms have continuously evolved, resulting in a present-day landscape where the dynamics of information dissemination have under…

cs.AI2024

Limits of Large Language Models in Debating Humans

James Flamino, Mohammed Shahid Modi, Boleslaw K. Szymanski +2

Large Language Models (LLMs) have shown remarkable promise in communicating with humans. Their potential use as artificial partners with humans in sociological experiments involvin…