Search Results for author:
Found 11 papers, 1 papers with code
Limits of Large Language Models in Debating Humans
Our goal is to understand how LLM agents influence humans, and how capable they are in debating like humans.
Analyzing Trendy Twitter Hashtags in the 2022 French Election
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.
A Machine Learning Approach to Predicting Continuous Tie Strengths
With these evolving tie values, we are able to make several empirically derived observations which we compare to past works.
Learning Parameters for Balanced Index Influence Maximization
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.
Optimizing sensors placement in complex networks for localization of hidden signal source: A review
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
Universality of noise-induced resilience restoration in spatially-extended ecological systems
Resilience restoration focuses on the ability of spatially-extended systems and the required time to recover to their desired states under stochastic environmental conditions.
Network resilience
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.
Modeling competitive evolution of multiple languages
Our analysis furthers our understanding of multiple language evolution and the role of tipping points in behavioral transitions.
Influence of Personal Preferences on Link Dynamics in Social Networks
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.
Adaptive Modularity Maximization via Edge Weighting Scheme
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
SLPA: Uncovering Overlapping Communities in Social Networks via A Speaker-listener Interaction Dynamic Process
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
