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Bleep bloop! I am a bot that posts new papers from Arixiv cs.SI and ph-soc! (un)maintained by @andreajpg.bsky.social source: https://github.com/andreafailla/bsky_paperbot original project by: @apoorvalal.com Image generated via ImageFX
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Impact of Fake Agents on Information Cascades https://arxiv.org/abs/2005.05518 In online markets, agents often learn from other's actions in addition to their private information. Such observational learning can lead to herding or information cascades in which agents eventually ignore their p...📈🤖

Joint Optimal Transport and Embedding for Network Alignment https://arxiv.org/abs/2502.19334 Network alignment, which aims to find node correspondence across different networks, is the cornerstone of various downstream multi-network and Web mining tasks. Most of the embedding-based methods in...📈🤖

2064 global population crisis scenario predicted by the most general dynamic model https://arxiv.org/abs/2502.19063 There is currently no consensus on how the global population will evolve in the next decades and in the next century. Currently, none of the known mathematical population-dynami...📈🤖

Stationary distribution of node2vec random walks on household models https://arxiv.org/abs/2502.19039 The node2vec random walk has proven to be a key tool in network embedding algorithms. These random walks are tuneable, and their transition probabilities depend on the previous visited node a...📈🤖

Towards an AI co-scientist https://arxiv.org/abs/2502.18864 Scientific discovery relies on scientists generating novel hypotheses that undergo rigorous experimental validation. To augment this process, we introduce an AI co-scientist, a multi-agent system built on Gemini 2.0. The AI co-scient...📈🤖

Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation https://arxiv.org/abs/2502.18771 Graph-structured data has become increasingly prevalent across various domains, raising the demand for effective models to handle graph tasks like node classification and link pr...📈🤖

TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation https://arxiv.org/abs/2502.18712 This work leverages Large Language Models (LLMs) to simulate human mobility, addressing challenges like high costs and privacy concerns in traditional models. Our h...📈🤖

Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models https://arxiv.org/abs/2502.18695 Content moderation plays a critical role in shaping safe and inclusive online environments, balancing platform standards, user expectations, and regulatory frameworks. Traditio...📈🤖

From Staging to Insight: An Educational Path to Understanding Bell's Inequalities https://arxiv.org/abs/2502.18543 Quantum Physics is a cornerstone of modern science and technology, yet a comprehensive approach to integrating it into school curricula and communicating its foundations to polic...📈🤖

Sustainable intensification of small-scale aquaculture systems depends on the local context and characteristics of producers https://arxiv.org/abs/2502.18488 Aquaculture has been the fastest growing food production sector globally due to its potential to improve food security, stimulate econo...📈🤖

Viral mutation spread controlled by inter-host network dynamics https://arxiv.org/abs/2502.18472 The increase in the connectivity between hosts in recent times has facilitated the emergence of more aggressive mutant viral strains, making their containment and eradication significantly more ch...📈🤖

Estimating Nodal Spreading Influence Using Partial Temporal Network https://arxiv.org/abs/2502.19350 Temporal networks, whose links are activated or deactivated over time, are used to represent complex systems such as social interactions or collaborations occurring at specific times. Such net...📈🤖

Simulation of Language Evolution under Regulated Social Media Platforms: A Synergistic Approach of Large Language Models and Genetic Algorithms https://arxiv.org/abs/2502.19193 Social media platforms frequently impose restrictive policies to moderate user content, prompting the emergence of c...📈🤖

Analyzing Students' Emerging Roles Based on Quantity and Heterogeneity of Individual Contributions in Small Group Online Collaborative Learning Using Bipartite Network Analysis https://arxiv.org/abs/2502.19112 Understanding students' emerging roles in computer-supported collaborative learning...📈🤖

Language-Driven Opinion Dynamics in Agent-Based Simulations with LLMs https://arxiv.org/abs/2502.19098 Understanding how opinions evolve is crucial for addressing issues such as polarization, radicalization, and consensus in social systems. While much research has focused on identifying facto...📈🤖

Global Streams, Local Currents: A Data Analysis on Global VOD Content Consumption https://arxiv.org/abs/2502.19043 This study explores global VOD (video on demand) content consumption patterns through a network-based approach. We used Netflix's 'TV-shows' ranking data, spanning 822 days acros...📈🤖

Sampling nodes and hyperedges via random walks on large hypergraphs https://arxiv.org/abs/2502.19030 Hypergraphs provide a fundamental framework for representing complex systems involving interactions among three or more entities. As empirical hypergraphs grow in size, characterizing their st...📈🤖

Network dynamics of community resilience and recovery: new frontier in disaster research https://arxiv.org/abs/2502.18730 Disasters impact communities through interconnected social, spatial, and physical networks. Analyzing network dynamics is crucial for understanding resilience and recovery...📈🤖

Democratic Thwarting of Majority Rule in opinion dynamics: 1 https://arxiv.org/abs/2502.18665 I study the conditions under which a democratic dynamics of a public debate drives a Minority-to-Majority transition. A landscape of the opinion dynamics is thus built using the Galam Majority Model ...📈🤖

TikTok StitchGraph: Characterizing communication patterns on TikTok through a collection of interaction networks https://arxiv.org/abs/2502.18661 We present TikTok StitchGraph: a collection of 36 graphs based on TikTok stitches. With its rapid growth and widespread popularity, TikTok presents...📈🤖

A simple and flexible algorithm to generate real-world networks https://arxiv.org/abs/2502.18579 This study introduces an algorithm that generates undirected graphs with three main characteristics of real-world networks: scale-freeness, short distances between nodes (small-world phenomenon), ...📈🤖

Analyzing User Perceptions of Large Language Models (LLMs) on Reddit: Sentiment and Topic Modeling of ChatGPT and DeepSeek Discussions https://arxiv.org/abs/2502.18513 While there is an increased discourse on large language models (LLMs) like ChatGPT and DeepSeek, there is no comprehensive un...📈🤖

Too Little, Too Late: Moderation of Misinformation around the Russo-Ukrainian Conflict https://arxiv.org/abs/2502.18500 In this study, we examine the role of Twitter as a first line of defense against misinformation by tracking the public engagement with, and the platforms response to, 500 tw...📈🤖

A Parallel Hierarchical Approach for Community Detection on Large-scale Dynamic Networks https://arxiv.org/abs/2502.18497 In this paper, we propose a novel parallel hierarchical Leiden-based algorithm for dynamic community detection. The algorithm, for a given batch update of edge insertions ...📈🤖

Privacy-Preserving Epidemiological Modeling on Mobile Graphs https://arxiv.org/abs/2206.00539 The latest pandemic COVID-19 brought governments worldwide to use various containment measures to control its spread, such as contact tracing, social distance regulations, and curfews. Epidemiologica...📈🤖

Finding patterns of meaning: Reassessing Construal Clustering via Bipolar Class Analysis https://arxiv.org/abs/2404.17042 Empirical research on \textit{construals}--social affinity groups that share similar patterns of meaning--has advanced significantly in recent years. This progress is larg...📈🤖

The Introduction of README and CONTRIBUTING Files in Open Source Software Development https://arxiv.org/abs/2502.18440 README and CONTRIBUTING files can serve as the first point of contact for potential contributors to free/libre and open source software (FLOSS) projects. Prominent open sourc...📈🤖

Attractiveness and equal treatment in a group draw https://arxiv.org/abs/2502.18332 National teams from different continents can play against each other only in afew sports competitions. Therefore, a reasonable aim is maximising the number of intercontinental games in world cups, as done in b...📈🤖

Predictive Response Optimization: Using Reinforcement Learning to Fight Online Social Network Abuse https://arxiv.org/abs/2502.17693 Detecting phishing, spam, fake accounts, data scraping, and other malicious activity in online social networks (OSNs) is a problem that has been studied for wel...📈🤖

Scalable Graph Condensation with Evolving Capabilities https://arxiv.org/abs/2502.17614 Graph data has become a pivotal modality due to its unique ability to model relational datasets. However, real-world graph data continues to grow exponentially, resulting in a quadratic increase in the com...📈🤖

Social Dynamics: Parameter Estimate https://arxiv.org/abs/2502.18172 The goal of this paper is to estimate some parameters of simple social harmonic oscillations modelling U.S. Presidential Approval and Macropartisanship. The harmonic oscillations are simplest solutions of equations of the de...📈🤖

Local iterative algorithms for approximate symmetry guided by network centralities https://arxiv.org/abs/2502.18155 Recently, the influence of potentially present symmetries has begun to be studied in complex networks. A typical way of studying symmetries is via the automorphism group of the ...📈🤖

Large Language Model Driven Agents for Simulating Echo Chamber Formation https://arxiv.org/abs/2502.18138 The rise of echo chambers on social media platforms has heightened concerns about polarization and the reinforcement of existing beliefs. Traditional approaches for simulating echo chambe...📈🤖

AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models https://arxiv.org/abs/2502.18040 Popularity prediction in information cascades plays a crucial role in social computing, with broad applications in viral marketing, misinformation control, and content recom...📈🤖

The Dynamics of Collective Creativity in Human-AI Social Networks https://arxiv.org/abs/2502.17962 Generative AI is reshaping modern culture, enabling individuals to create high-quality outputs across domains such as images, text, and music. However, we know little about the impact of generat...📈🤖

Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data https://arxiv.org/abs/2502.17928 The source localization problem in graph information propagation is crucial for managing various network disruptions, from misinformation spread to infrastructure failures...📈🤖

FediverseSharing: A Novel Dataset on Cross-Platform Interaction Dynamics between Threads and Mastodon Users https://arxiv.org/abs/2502.17926 Traditional social media platforms, once envisioned as digital town squares, face growing criticism over corporate control, content moderation, and priv...📈🤖

A Simple Walk Model for Reproducing Power Laws in Human mobility https://arxiv.org/abs/2502.17885 Identifying statistical patterns characterizing human trajectories is crucial for public health, traffic engineering, city planning, and epidemic modeling. Recent developments in global positioni...📈🤖

Quantifying interdisciplinary synergy in higher STEM education https://arxiv.org/abs/2502.17841 We propose a framework to quantify and utilize interdisciplinarity in science and engineering curricula in the case of university-level higher education. We analyze interdisciplinary relations by s...📈🤖

Homophilic Effects on Economic Inequality: A Dynamic Network Agent-Based Model https://arxiv.org/abs/2502.17705 Wealth transactions are central to economic activity, and their particularities shape macroeconomic outcomes. We propose an agent-based model to investigate how homophily influences...📈🤖

Data Voids and Warning Banners on Google Search https://arxiv.org/abs/2502.17542 The content moderation systems used by social media sites are a topic of widespread interest and research, but less is known about the use of similar systems by web search engines. For example, Google Search atte...📈🤖

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction https://arxiv.org/abs/2401.15603 In recent years, spectral graph neural networks, characterized by polynomial filters, have garnered increasing attention and have achieved remarkable performance in tasks s...📈🤖

Exact Phase Transitions for Stochastic Block Models and Reconstruction on Trees https://arxiv.org/abs/2212.03362 In this paper we continue to rigorously establish the predictions in ground breaking work in statistical physics by Decelle, Krzakala, Moore, Zdeborov\'a (2011) regarding the block...📈🤖

Optimal Salaries of Researchers with Motivational Emergence https://arxiv.org/abs/2502.17271 In the context of scientific policy and science management, this study examines the system of nonuniform wage distribution for researchers. A nonlinear mathematical model of optimal remuneration for s...📈🤖

The Robustness of Structural Features in Species Interaction Networks https://arxiv.org/abs/2502.16778 Species interaction networks are a powerful tool for describing ecological communities; they typically contain nodes representing species, and edges representing interactions between those s...📈🤖

To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders https://arxiv.org/abs/2502.16724 This paper investigates the understudied practice of weight sharing (WS) in variational graph autoencoders (VGAE). WS presents both benefits and drawbacks for VGAE model d...📈🤖

Analysis of Emotion in Rumour Threads on Social Media https://arxiv.org/abs/2502.16560 Rumours in online social media pose significant risks to modern society, motivating the need for better understanding of how they develop. We focus specifically on the interface between emotion and rumours ...📈🤖

Spatial Disease Propagation With Hubs https://arxiv.org/abs/2502.16552 Physical contact or proximity is often a necessary condition for the spread of infectious diseases. Common destinations, typically referred to as hubs or points of interest, are arguably the most effective spots for the ty...📈🤖

ShareDP: Finding k Disjoint Paths for Multiple Vertex Pairs https://arxiv.org/abs/2502.16506 Finding k disjoint paths (kDP) is a fundamental problem in graph analysis. For vertices s and t, paths from s to t are said to be disjoint if any two of them share no common vertex except s and t. In ...📈🤖

A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder https://arxiv.org/abs/2502.16483 This paper introduces a new Transformer, called MS$^2$Dformer, that can be used as a generalized backbone for multi-modal sequence spammer detection...📈🤖