ArXiv Paper Poster (cs.SI & ph-soc)

DyGnROLE: Modeling Asymmetry in Dynamic Graphs with Node-Role-Oriented Latent Encoding
https://arxiv.org/abs/2602.23135
Real-world dynamic graphs are often directed, with source and destination nodes exhibiting asymmetrical behavioral patterns and temporal dynamics. However, existing dynamic ...📈🤖

Three AI-agents walk into a bar
https://arxiv.org/abs/2602.23093
Near-future infrastructure systems may be controlled by autonomous AI agents that repeatedly request access to limited resources such as energy, bandwidth, or computing power. We study a simplified version of this setting using ...📈🤖

Engineered Simultaneity: The Physical Impossibility of Consolidated Price Discovery Across Spacelike-Separated Exchanges
https://arxiv.org/abs/2602.22350
We introduce the concept of engineered simultaneity: a system design that (1) requires comparing events at spacelike-separated locations, (...📈🤖

Coalgebraic analysis of social systems
https://arxiv.org/abs/2602.23211
The algebraic analysis of social systems, or algebraic social network analysis, refers to a collection of methods designed to extract information about the structure of a social system represented as a directed graph. Cen...📈🤖

Supervised tax compliance and evasion from a spatial evolutionary game perspective
https://arxiv.org/abs/2602.22892
Taxation constitutes a fundamental component of modern national economic systems, exerting profound impacts on both societal functioning and governmental operations. In this pap...📈🤖

The Swarm Intelligence Freeway-Urban Trajectories (SWIFTraj) Dataset - Part I: Dataset Description and Applications
https://arxiv.org/abs/2602.22563
This paper presents a detailed description and characterization of a new open-source vehicle trajectory dataset, namely SWIFTraj, constructed fr...📈🤖

False memories to fake news: The evolution of the term "misinformation" in academic literature
https://arxiv.org/abs/2602.22395
Since 2016, the term "misinformation" has become associated with a scientific paradigm that studies, at its core, people making, reading, and sharing false statement...📈🤖

Robustness in sparse artificial neural networks trained with adaptive topology
https://arxiv.org/abs/2602.21961
We investigate the robustness of sparse artificial neural networks trained with adaptive topology. We focus on a simple yet effective architecture consisting of three sparse layers ...📈🤖

Selecting representative community partitions under modularity degeneracy: the STAR method
https://arxiv.org/abs/2602.21838
Community detection based on modularity maximization is one of the most widely used approaches for uncovering mesoscale structures in complex networks. However, it is we...📈🤖

The Headless Firm: How AI Reshapes Enterprise Boundaries
https://arxiv.org/abs/2602.21401
The boundary of the firm is determined by coordination cost. We argue that agentic AI induces a structural change in how coordination costs scale: in prior modular systems, integration cost grew with int...📈🤖

Academic collaborations and movements towards successful careers in physics
https://arxiv.org/abs/2602.22031
Collaboration networks evolve throughout academic careers, yet few studies systematically examine how these network dynamics relate to long-term career success and mobility. Analysing ...📈🤖

Capacity drop accounting for microscopic vehicle interaction effects: analytical model and validation with high-resolution trajectories
https://arxiv.org/abs/2602.22019
Capacity drop is a traffic phenomenon in which the discharge flow from a queue is lower than the theoretical infrastructure ...📈🤖

The Swarm Intelligence Freeway-Urban Trajectories (SWIFTraj) Dataset - Part II: A Graph-Based Approach for Trajectory Connection
https://arxiv.org/abs/2602.21954
In Part I of this companion paper series, we introduced SWIFTraj, a new open-source vehicle trajectory dataset collected using a un...📈🤖

Bridging Through Absence: How Comeback Researchers Bridge Knowledge Gaps Through Structural Re-emergence
https://arxiv.org/abs/2602.21926
Understanding the role of researchers who return to academia after prolonged inactivity, termed "comeback researchers", is crucial for developing inclusive...📈🤖

A Bayesian approach to out-of-sample network reconstruction
https://arxiv.org/abs/2602.21869
Networks underpin systems that range from finance to biology, yet their structure is often only partially observed. Current reconstruction methods typically fit the parameters of a model anew to each ...📈🤖

Embedding-aware Polarization Management in Signed Networks
https://arxiv.org/abs/2602.21755
Signed network embeddings (SNE) are widely used to represent networks with positive and negative relations, but their repeated use in downstream analysis pipelines can inadvertently reinforce structura...📈🤖

RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection
https://arxiv.org/abs/2602.21749
Social bot detection is pivotal for safeguarding the integrity of online information ecosystems. Although recent graph neural network (GNN) solutions achieve strong re...📈🤖

On the equivalence between nonlinear graph-based dynamics and linear dynamics on higher-order networks
https://arxiv.org/abs/2602.21727
In network science, collective dynamics of complex systems are typically modelled as (nonlinear, often including many-body) vertex-level update rules evolvin...📈🤖

PPCR-IM: A System for Multi-layer DAG-based Public Policy Consequence Reasoning and Social Indicator Mapping
https://arxiv.org/abs/2602.21650
Public policy decisions are typically justified using a narrow set of headline indicators, leaving many downstream social impacts unstructured and diff...📈🤖

Modeling plant disease spread via high-resolution human mobility networks
https://arxiv.org/abs/2602.21491
Human mobility plays a crucial role in the spread of human diseases, but is rarely quantified in plant disease epidemics. To address this gap, we integrate a unique, high-resolution netw...📈🤖

Structurally Conditioned Diffusion Reproduces Skills-Based Stratification
https://arxiv.org/abs/2602.21369
Occupational hierarchies remain strikingly stable even as job content changes rapidly. We ask whether skill requirements propagate directionally along the wage hierarchy or follow symmet...📈🤖

@GrokSet: multi-party Human-LLM Interactions in Social Media
https://arxiv.org/abs/2602.21236
Large Language Models (LLMs) are increasingly deployed as active participants on public social media platforms, yet their behavior in these unconstrained social environments remains largely unstudied...📈🤖

Toward Effective Multi-Domain Rumor Detection in Social Networks Using Domain-Gated Mixture-of-Experts
https://arxiv.org/abs/2602.21214
Social media platforms have become key channels for spreading and tracking rumors due to their widespread accessibility and ease of information sharing. Rumo...📈🤖

"Are You Sure?": An Empirical Study of Human Perception Vulnerability in LLM-Driven Agentic Systems
https://arxiv.org/abs/2602.21127
Large language model (LLM) agents are rapidly becoming trusted copilots in high-stakes domains like software development and healthcare. However, this deepening...📈🤖

On the non-uniformity of the 2026 FIFA World Cup draw
https://arxiv.org/abs/2602.21029
The group stage of a sports tournament is often made more appealing by introducing additional constraints in the group draw that promote an attractive and balanced group composition. For example, the number...📈🤖

Some Simple Economics of AGI
https://arxiv.org/abs/2602.20946
For millennia, human cognition was the primary engine of progress on Earth. As AI decouples cognition from biology, the marginal cost of measurable execution falls to zero, absorbing any labor capturable by metrics--including creat...📈🤖

Modelling Interaction Duration in Relational Event Models
https://arxiv.org/abs/2602.21000
The study of relational events, which are interactions occurring between actors over time, has gained significant traction recently. Traditional relational event models typically focus on modelling the ...📈🤖

Empathy Modeling in Active Inference Agents for Perspective-Taking and Alignment
https://arxiv.org/abs/2602.20936
Artificial agents capable of understanding and aligning with others' intentions are essential for safe and socially robust artificial intelligence. We introduce a computational fr...📈🤖

Impact of individual actions on the collective response of social systems
https://arxiv.org/abs/2602.20897
In a social system individual actions have the potential to trigger spontaneous collective reactions. The way and extent to which the activity (number of actions$-A$) of an individual ca...📈🤖

Recurrent patterns of user behavior in different electoral campaigns: A Twitter analysis of the Spanish general elections of 2015 and 2016
https://arxiv.org/abs/2602.20837
We have retrieved and analyzed several millions of Twitter messages corresponding to the Spanish General elections held o...📈🤖