output
20082025
most citedCentrality in Interconnected Multilayer Networks

466 citations

Showing cs.SIShow all

11 papers · 1 filter

cs.SI2025

Web Crawler Restrictions, AI Training Datasets \& Political Biases

Paul Bouchaud, Pedro Ramaciotti

Large language models rely on web-scraped text for training; concurrently, content creators are increasingly blocking AI crawlers to retain control over their data. We analyze craw…

cs.SI2025

Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election

Ixandra Achitouv, David Chavalarias

During the 2022 French presidential election, we collected daily Twitter messages on key topics posted by political candidates and their close networks. Using a data-driven approac…

cs.SI2025★ 9 cited

Voter model can accurately predict individual opinions in online populations

Antoine Vendeville

Models of opinion dynamics describe how opinions are shaped in various environments. While these models are able to replicate general opinion distributions observed in real-world s…

cs.SI2025

Expressing One's Identity Online: Left-Right and cross EU-country variation in self-representation in social media

Carlo Romano Marcello Alessandro Santagiustina, Jean-Philippe Cointet, Pedro Ramaciotti Morales

We examine how social media users from eight European Union (EU) member states express their socio-political identities, focusing on users' online self-presentation and group ident…

cs.SI2024

Testing network clustering algorithms with Natural Language Processing

Ixandra Achitouv, David Chavalarias, Bruno Gaume

The advent of online social networks has led to the development of an abundant literature on the study of online social groups and their relationship to individuals' personalities…

cs.SI2021★ 1 cited

Exploring, browsing and interacting with multi-scale structures of knowledge

Quentin Lobbé, Alexandre Delanoë, David Chavalarias

The ICT revolution has given birth to a world of digital traces. A wide number of knowledgedriven domains like science are daily fueled by unlimited flows of textual contents. In o…

cs.SI2014★ 43 cited

Followers Are Not Enough: A Question-Oriented Approach to Community Detection in Online Social Networks

David Darmon, Elisa Omodei, Joshua Garland

Community detection in online social networks is typically based on the analysis of the explicit connections between users, such as "friends" on Facebook and "followers" on Twitter…

cs.SI2011★ 3 cited

Intrinsically Dynamic Network Communities

Bivas Mitra, Lionel Tabourier, Camille Roth

Community finding algorithms for networks have recently been extended to dynamic data. Most of these recent methods aim at exhibiting community partitions from successive graph sna…

cs.SI2010

Generating constrained random graphs using multiple edge switches

Lionel Tabourier, Camille Roth, Jean-Philippe Cointet

The generation of random graphs using edge swaps provides a reliable method to draw uniformly random samples of sets of graphs respecting some simple constraints, e.g. degree distr…

cs.SI2010★ 200 cited

Characterizing the speed and paths of shared bicycles in Lyon

Pablo Jensen, Jean-Baptiste Rouquier, Nicolas Ovtracht +1

Thanks to numerical data gathered by Lyon's shared bicycling system Vélo'v, we are able to analyze 11.6 millions bicycle trips, leading to the first robust characterization of urba…

cs.SI2010★ 2 cited

Precursors and Laggards: An Analysis of Semantic Temporal Relationships on a Blog Network

Telmo Menezes, Camille Roth, Jean-Philippe Cointet

We explore the hypothesis that it is possible to obtain information about the dynamics of a blog network by analysing the temporal relationships between blogs at a semantic level,…