Psychological Determinants and Consequences of Complex Networks https://arxiv.org/abs/1510.08490 This paper presents two models that exemplify psychological factors as a determinant and as a consequence of social network characteristics. There is an endogeneity considered in network formation...📈🤖

Autoreflection: How Agentic Strange Loops Turn Human Culture into AI Infrastructure https://arxiv.org/abs/2608.03800 An LLM-based agent is a loop that reads itself. Agentic frameworks externalize identity, memory, and disposition into editable files. The agent loads and edits these files duri...📈🤖

Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling https://arxiv.org/abs/2608.03696 This work focuses on the problem of learning on temporal graphs, with particular emphasis on the task of clustering: obtaining coarse-grained representations by aggregating informa...📈🤖

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity https://arxiv.org/abs/2608.03272 Multi-agent collaborative filtering (CF) systems coordinate autonomous LLM-powered user and item agents through natural-language interaction to refine preferences and gene...📈🤖

Measuring the engine of a liquidation cascade: subcritical branching inside a first-order transition https://arxiv.org/abs/2608.03616 We study seven major crypto-perpetual liquidation cascades (2022-2025), and in the largest of them we can watch the mechanism directly. From the on-chain fill ...📈🤖

A Note on Reinforcement Learning to Develop Self-defined Agents' Behavior https://arxiv.org/abs/2608.03445 The key point in this note is the self-development of simple behavior strategies, consistently with the bounded rationality hypothesis. Our artificial agents adopt learning techniques, m...📈🤖

Performance appraisal promotes cooperation in spatial public goods games https://arxiv.org/abs/2608.03125 In real organizations, performance appraisal serves as an important means of evaluating employees' work outcomes and behaviors, while performance pay directly links compensation to the ev...📈🤖

What Is Sonification? Toward a Philosophy of Sonification https://arxiv.org/abs/2608.02737 Sonification operates across scientific, artistic, and design contexts, yet its identity remains conceptually ambiguous: is it music, a scientific method, or a hybrid practice? This paper presents a phi...📈🤖

Markov and lattice bases for Forman-Ricci curvature of graphs https://arxiv.org/abs/2608.01929 Discrete Forman-Ricci curvature is a quantity associated to each edge of a graph that describes its local geometry. It has proven to be a useful tool in network analysis in a variety of applications...📈🤖

Gap distributions between successive personal bests in cricket: Data and Models https://arxiv.org/abs/2608.01882 Successive personal best performances provide a natural measure of progression in an athlete's career. Classical record theory predicts a universal gap distribution, $P(g)\sim 1/g$...📈🤖

Imprecise Belief Fusion Improves Multi-agent Social Learning https://arxiv.org/abs/2608.01367 In social learning, agents learn not only from direct evidence but also through interactions with their peers. We investigate the role of imprecision in such interactions and ask whether it can impro...📈🤖

When Words Divide: Diachronic Ideological Polarization in Political Discourse on Social Media https://arxiv.org/abs/2608.01176 Political polarization has become a defining feature of online discourse, yet its long-term evolution remains poorly understood. We present a longitudinal analysis of...📈🤖

Differentiable Lifting for Topological Neural Networks https://arxiv.org/abs/2608.01160 Topological neural networks (TNNs) enable leveraging high-order structures on graphs (e.g., cycles and cliques) to boost the expressive power of message-passing neural networks. In turn, however, these str...📈🤖

Understanding Federated Learning Through the Lens of Mechanism Design: The Role of Data Heterogeneity https://arxiv.org/abs/2608.00364 Federated learning (FL) requires effective incentive mechanisms to motivate data sharing and prevent strategic free-riding. Recent FL mechanisms such as the S...📈🤖

Recovery of low-magnitude seismic events before the July 29, 2025, Kamchatka megathrust earthquake using waveform cross-correlation enhanced by the addition of stochastic noise https://arxiv.org/abs/2608.00091 The July 29, 2025, Kamchatka megathrust earthquake is one of the largest events in ...📈🤖

Network Information Enhances Unreliable News Domain Detection https://arxiv.org/abs/2608.02399 Content-based detection of unreliable news is increasingly difficult, as low-reliability sources mimic credible journalism and generative AI makes fabricated content harder to flag. We ask whether n...📈🤖

Microscopic dynamics of consensus formation in multi-agent LLM Naming Games https://arxiv.org/abs/2608.02178 Decentralized populations of Large Language Model (LLM) agents can spontaneously reach consensus on shared conventions, yet the microscopic mechanisms by which their internal stochasti...📈🤖

Vulnerability Modeling for the Adaptation of Physical Systems to Climate Change Extremes https://arxiv.org/abs/2608.01956 Climate change is modifying the frequency and intensity of extreme hazards in a non-uniform spatial manner, increasing the risk of damage for existing physical systems. Vu...📈🤖

Semantic Networks as Clues: A Theoretical Foundation and Process Optimization for Semantic Network Construction https://arxiv.org/abs/2608.01936 The subject matter of this paper is twofold. One is to review the theoretical foundation of a specific type of Semantic Networks (SNs) representing ...📈🤖

Local network growth: How simple rules drive network complexity https://arxiv.org/abs/2608.01853 The Internet, a living cell, a circle of friends, a billion-dollar construction project: these systems share almost nothing -- yet, drawn as networks, they look astonishingly alike. Each has a few...📈🤖

The Production of Policy Knowledge in the United States https://arxiv.org/abs/2608.01514 Policymaking relies on institutions that translate expertise into politically actionable knowledge. Yet little is known about how such knowledge is created, structured, and politically polarized, or how s...📈🤖

Temperature-driven inversion and nonlinear dynamics in ChatGPT-like AIs https://arxiv.org/abs/2608.00939 Increasing the temperature of an ordinary many-state system increases access to a wider range of states and hence increases its entropy. We find the opposite in ChatGPT-like AIs, even thou...📈🤖

Beyond Lanes: Traffic Flow Dynamics in Disordered Conditions Based on High-Resolution Trajectory Data https://arxiv.org/abs/2608.00602 Disordered traffic flow is characterized by weak or non-existent lane discipline in the presence of strong vehicle heterogeneity and continuous lateral intera...📈🤖

Gendered Structural Roles in Indian Epics https://arxiv.org/abs/2608.00534 The Mahabharata and the Ramayana constitute the two major Sanskrit epics of ancient India. Previous network analysis revealed substantial structural similarities between their character networks, alongside differences ...📈🤖

Discovery is not the opposite of application https://arxiv.org/abs/2608.00172 Restructuring research funding as a choice between discovery and application gets the economics wrong, the evidence wrong and the people wrong....📈🤖

Conservative adventurers have more future academic impact https://arxiv.org/abs/2306.16643 Some scientists explore unfamiliar topics, while others exploit existing ones, yet the link between these choices and academic performance remains unclear. Prior studies offer conflicting evidence, ofte...📈🤖

Poverty Mapping: Data, Models and Applications https://arxiv.org/abs/2607.29457 Poverty mapping is increasingly important for monitoring Sustainable Development Goal 1 (SDG 1) of the United Nations 2030 Agenda, which aims to end poverty in all its forms everywhere. Yet timely and fine-resolut...📈🤖

How null-model constraints affect statistical validation in projected bipartite networks https://arxiv.org/abs/2607.29242 Statistical validation of projected bipartite networks depends critically on the null model adopted to describe random co-occurrences. Although several null models have be...📈🤖

Autocatalytic knowledge dynamics in the AI era https://arxiv.org/abs/2607.29179 In the AI era, knowledge is growing at an accelerated rate. The goal of this study is to construct the macrodynamics of knowledge and elucidate the role of AI in this process. An autonomous knowledge production sy...📈🤖

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction https://arxiv.org/abs/2607.29115 Link prediction aims to identify potential or future connections within a given graph structure. Position information is essential for link prediction, as it distinguishes hom...📈🤖