no code implementations • 6 Feb 2024 • James Flamino, Mohammed Shahid Modi, Boleslaw K. Szymanski, Brendan Cross, Colton Mikolajczyk
Our goal is to understand how LLM agents influence humans, and how capable they are in debating like humans.
no code implementations • 11 Oct 2023 • Aamir Mandviwalla, Lake Yin, Boleslaw K. Szymanski
To validate the usefulness of our semantic feature we performed a regression experiment to predict the response rate of each user with six emotions like anger, enjoyment, or disgust.
no code implementations • 23 Jan 2021 • James Flamino, Ross DeVito, Boleslaw K. Szymanski, Omar Lizardo
With these evolving tie values, we are able to make several empirically derived observations which we compare to past works.
no code implementations • 15 Dec 2020 • Manqing Ma, Gyorgy Korniss, Boleslaw K. Szymanski
Then, we train our machine-learning model on the snapshots and apply this model to the real-word network to find the best BI parameters.
no code implementations • 3 Dec 2020 • Robert Paluch, Łukasz G. Gajewski, Janusz A. Hołyst, Boleslaw K. Szymanski
As the world becomes more and more interconnected, our everyday objects become part of the Internet of Things, and our lives get more and more mirrored in virtual reality, where every piece of~information, including misinformation, fake news and malware, can spread very fast practically anonymously.
Misinformation Social and Information Networks Computers and Society Data Analysis, Statistics and Probability
no code implementations • 24 Nov 2020 • Cheng Ma, Gyorgy Korniss, Boleslaw K. Szymanski, Jianxi Gao
Resilience restoration focuses on the ability of spatially-extended systems and the required time to recover to their desired states under stochastic environmental conditions.
no code implementations • 26 Jul 2020 • Xueming Liu, Daqing Li, Manqing Ma, Boleslaw K. Szymanski, H. Eugene Stanley, Jianxi Gao
Many systems on our planet are known to shift abruptly and irreversibly from one state to another when they are forced across a "tipping point," such as mass extinctions in ecological networks, cascading failures in infrastructure systems, and social convention changes in human and animal networks.
no code implementations • 16 Jul 2019 • Zejie Zhou, Boleslaw K. Szymanski, Jianxi Gao
Our analysis furthers our understanding of multiple language evolution and the role of tipping points in behavioral transitions.
no code implementations • 21 Sep 2017 • Ashwin Bahulkar, Boleslaw K. Szymanski, Nitesh Chawla, Omar Lizardo, Kevin Chan
We find that personal preferences, in particular political views, and preferences for common activities help predict link formation and dissolution in both the behavioral and cognitive networks.
no code implementations • 13 May 2017 • Xiaoyan Lu, Konstantin Kuzmin, Mingming Chen, Boleslaw K. Szymanski
We also present a novel regression model which assigns weights to the edges of a graph according to their local topological features to enhance the accuracy of modularity maximization algorithms.
Social and Information Networks
1 code implementation • 26 Sep 2011 • Jierui Xie, Boleslaw K. Szymanski, Xiaoming Liu
Overlap is one of the characteristics of social networks, in which a person may belong to more than one social group.
Social and Information Networks Data Structures and Algorithms Physics and Society