Agent-based models is a fundamental approach to untangle and study complex systems.Over the last decade, need for more elaborate computing-demanding has given rise many frameworks tools run ABM simulations.Current state-of-the-art focus either on ease of use, performance, or trade-off between these two elements.Still, efficiency-oriented solutions (required both large smallscale simulations) are vulnerable memory flaws which could invalidate experiment results.This work aims merge...

Agent-based models (ABMs) are one of the most effective and successful methods for analyzing real-world complex systems by investigating how modeling interactions on individual level (i.e., micro-level) leads to understanding emergent phenomena system macro-level). ABMs represent an interdisciplinary approach examining systems, heterogeneous background ABM users demands comprehensive, easy-to-use, efficient environments develop simulations. Currently, many tools, frameworks, libraries exist,...

Online Social Networks (OSNs) represent a fertile field to collect real user data and explore OSNs behavior. Recently, two topics are drawing the attention of researchers: evolution online social roles question participation inequality. In this work, we bring these fields together study characterize behavioral users according quantity typology their interactions. We found that on microblogging platform can be categorized into four different activity levels. Furthermore, empirically verified...

This work deals with a generalization of the minimum Target Set Selection (TSS) problem, key algorithmic question in information diffusion research due to its potential commercial value. Firstly proposed by Kempe et al., TSS problem is based on linear threshold model defined an input graph node thresholds, quantifying hardness influence each node. The goal find smaller set items that can whole network according defined. study generalizes networks characterized many-to-many relationships...

Higher-order interactions (HOIs) are ubiquitous in real-world complex systems and applications. Investigation of deep learning for HOIs, thus, has become a valuable agenda the data mining machine communities. As networks HOIs expressed mathematically as hypergraphs, hypergraph neural (HNNs) have emerged powerful tool representation on hypergraphs. Given emerging trend, we present first survey dedicated to HNNs, with an in-depth step-by-step guide. Broadly, overviews HNN architectures,...

Today, coding skills are among the most required competencies worldwide, often also for non-computer scientists. Because of this trend, community contribution-based, question-and-answer (Q&A) platforms became prominent finding proper solution to all programming issues. Stack Overflow has been popular platform technical-related questions years. Still, recently, some programming-related subreddits Reddit have become a standing stone and discussions. This work investigates developers' behavior...

The amount of accessible computational devices over the Internet offers an enormous but latent power. Nonetheless, complexity orchestrating and managing such requires dedicated architectures tools hinders exploitation this vast processing capacity. Over last years, paradigm (Browser-based) Volunteer Computing emerged as a unique approach to harnessing capabilities, leveraging idea voluntarily offering resources. This article proposes VFuse, groundbreaking architecture exploit Browser-based...

Understanding the structural and linguistic properties of conversational data in social media is crucial for extracting meaningful insights to understand opinion dynamics, (mis-)information spreading, evolution harmful behavior. Current state-of-the-art mathematical frameworks, such as hypergraphs tools, large language models (LLMs), offer robust methodologies modeling high-order group interactions unprecedented capabilities dealing with natural language-related tasks. In this study, we...

User Engagement in digital experiences is a fundamental concern for technology developers, educators, businesses, TV networks and marketing agencies. However, engagement remains confusing concept with cognitive, emotional behavioural dimensions, that depends on large number of technical human interrelated factors. This study contributes to our understanding at level, through an analysis HBO Game Thrones (GoT) fans' Twitter dataset, collected over six-month period. across the GoT universe:...

Real-world complex networks are usually being modeled as graphs. The concept of graphs assumes that the relations within network binary (for instance, between pairs nodes); however, this is not always true for many real-life scenarios, such peer-to-peer communication schemes, paper co-authorship, or social interactions. For it often case underlying better and more naturally by hypergraphs. A hypergraph a generalization graph in which single (hyper)edge can connect any number vertices....

Non-Pharmaceutical Interventions (NPIs) are essential measures that reduce and control a severe outbreak or pandemic, especially in the absence of drug treatments. However, estimating evaluating their impact on society remains challenging, considering numerous closely tied aspects to examine. This article proposes fine-grain modeling methodology for NPIs, based high-order relationships between people environments, mimicking direct indirect contagion pathways over time. After assessing...

Since the advent of Web 2.0, Online Social Networks (OSNs) represent a rich opportunity for researchers to collect real user data and explore OSNs behaviour. Based on current challenges future directions proposed in literature, we aim investigate how comprehensively model behaviours, by exploiting combining different nature. We propose use hypergraphs as easily analyse combine structural, semantic, activity-related information, study their evolution over time. This novel behaviour modelling...

In most games, social connections are an essential part of the gaming experience. Players connect in communities inside or around games and form friendships, which can be translated into other even real world. Recent research has investigated phenomena within player network several multiplayer yet we still know very little about how these networks shaped formed. Specifically, unaware game type its mechanics related to community structure those structures vary different games. This paper...

Higher-order interactions (HOIs) are ubiquitous in real-world complex systems and applications, thus investigation of deep learning for HOIs has become a valuable agenda the data mining machine communities. As networks expressed mathematically as hypergraphs, hypergraph neural (HNNs) have emerged powerful tool representation on hypergraphs. Given emerging trend, we present first survey dedicated to HNNs, with an in-depth step-by-step guide. Broadly, overviews HNN architectures, training...

Abstract The Software Heritage (SWH) dataset represents an invaluable source of open-source code as it aims to collect, preserve, and share all publicly available software in form ever produced by humankind. Although designed archive deduplicated small files thanks the use a Merkle tree underlying data structure, querying SWH presents challenges due nature these structures, which organize content based on hash values rather than any locality principle. magnitude repository, coupled with...