115 citations · 131 across the 11 of their papers we have counts for
13 papers
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…
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…
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…
Dynamics of Ideological Biases of Social Media Users
Mohammed Shahid Modi, James Flamino, Boleslaw K. Szymanski
Humanity for centuries has perfected skills of interpersonal interactions and evolved patterns that enable people to detect lies and deceiving behavior of others in face-to-face se…
Modeling Memory Imprints Induced by Interactions in Social Networks
James Flamino, Ross DeVito, Omar Lizardo +1
Memory imprints of the significance of relationships are constantly evolving. They are boosted by social interactions among people involved in relationships, and decay between such…
Resource-Mediated Consensus Formation
Omar Malik, James Flamino, Boleslaw K. Szymanski
In social sciences, simulating opinion dynamics to study the interplay between homophily and influence, and the subsequent formation of echo chambers, is of great importance. As su…
Shifting Polarization and Twitter News Influencers between two U.S. Presidential Elections
James Flamino, Alessandro Galezzi, Stuart Feldman +7
Social media are decentralized, interactive, and transformative, empowering users to produce and spread information to influence others. This has changed the dynamics of political…
A Machine Learning Approach to Predicting Continuous Tie Strengths
James Flamino, Ross DeVito, Boleslaw K. Szymanski +1
Relationships between people constantly evolve, altering interpersonal behavior and defining social groups. Relationships between nodes in social networks can be represented by a t…
Robust and Scalable Entity Alignment in Big Data
James Flamino, Christopher Abriola, Ben Zimmerman +2
Entity alignment has always had significant uses within a multitude of diverse scientific fields. In particular, the concept of matching entities across networks has grown in signi…
Lattice sine-Gordon model
James Flamino, Joel Giedt
We obtain nonperturbative results on the sine-Gordon model using the lattice field technique. In particular, we employ the Fourier accelerated hybrid Monte Carlo algorithm for our…
Berezinskii-Kosterlitz-Thouless phase transition from lattice sine-Gordon model
Joel Giedt, James Flamino
We obtain nonperturbative results on the sine-Gordon model using the lattice field technique. In particular, we employ the Fourier accelerated hybrid Monte Carlo algorithm for our…
Modeling smart growth of cities through entropy and logistics
James Flamino, Alexander Norman, Madison Wyatt
We introduce a predictive algorithm for the smart growth of cities with populations upward of 100,000, allowing for extensive simulations of growth plans and their effects upon an…
Characterizing information importance and the effect on the spread in various graph topologies
James Flamino, Alexander Norman, Madison Wyatt
In this paper we present a thorough analysis of the nature of news in different mediums across the ages, introducing a unique mathematical model to fit the characteristics of infor…