21.7k citations · 31.6k across the 143 of their papers we have counts for
77 papers · 1 filter
Community-Centers Identify Robust Biomarkers in High-Dimensional, Low-Sample-Size Gene Expression Data
Ruiqi Li, Te Bai, Renaud Lambiotte +4
High-dimensional, low-sample-size bulk gene expression data poses a fundamental challenge in transcriptomics, which typically includes tens of thousands of genes but relatively few…
The nestedness of higher-order networks
Timothy LaRock, Yanting Zhang, Jean-Gabriel Young +3
In contrast to dyadic interactions, higher-order interactions may contain one another, with subgroups naturally embedded within larger groups. These containment patterns arise empi…
Manipulating Collective Opinion through Social Network Intervention
Shigefumi Hata, Renaud Lambiotte, Hiroya Nakao +1
Social media platforms have transformed the dynamics of collective opinion formation, enabling rapid, large-scale interactions while simultaneously exposing online discourse to pol…
Patterns of link reciprocity in directed, signed networks
Anna Gallo, Fabio Saracco, Renaud Lambiotte +2
Most of the analyses concerning signed networks have focused on the balance theory, hence identifying frustration with undirected, triadic motifs having an odd number of negative e…
Network shell structure based on hub and non-hub nodes
Gaogao Dong, Nannan Sun, Fan Wang +1
The shell structure holds significant importance in various domains such as information dissemination, supply chain management, and transportation. This study focuses on investigat…
Broken detailed balance and entropy production in directed networks
Ramón Nartallo-Kaluarachchi, Malbor Asllani, Gustavo Deco +3
The structure of a complex network plays a crucial role in determining its dynamical properties. In this work, we show that the the degree to which a network is directed and hierar…
Fast unfolding of communities in large networks: 15 years later
Vincent Blondel, Jean-Loup Guillaume, Renaud Lambiotte
The Louvain method was proposed 15 years ago as a heuristic method for the fast detection of communities in large networks. During this period, it has emerged as one of the most po…
Cross-Relation Characterization of Knowledge Networks
Eric K. Tokuda, Renaud Lambiotte, Luciano da F. Costa
Knowledge networks have become increasingly important as a changing repository of data which can be represented, studied and modeled by using complex networks concepts and methodol…
Fragmentation from group interactions: A higher-order adaptive voter model
Nikos Papanikolaou, Renaud Lambiotte, Giacomo Vaccario
The adaptive voter model allows for studying the interplay between homophily, the tendency of like-minded individuals to attract each other, and social influence, the tendency for…
Testing structural balance theories in heterogeneous signed networks
Anna Gallo, Diego Garlaschelli, Renaud Lambiotte +2
The abundance of data about social relationships allows the human behavior to be analyzed as any other natural phenomenon. Here we focus on balance theory, stating that social acto…
SHEEP: Signed Hamiltonian Eigenvector Embedding for Proximity
Shazia'Ayn Babul, Renaud Lambiotte
We introduce a spectral embedding algorithm for finding proximal relationships between nodes in signed graphs, where edges can take either positive or negative weights. Adopting a…
Local dominance unveils clusters in networks
Dingyi Shi, Fan Shang, Bingsheng Chen +6
Clusters or communities can provide a coarse-grained description of complex systems at multiple scales, but their detection remains challenging in practice. Community detection met…
Gromov Centrality: A Multi-Scale Measure of Network Centrality Using Triangle Inequality Excess
Shazia'Ayn Babul, Karel Devriendt, Renaud Lambiotte
Centrality measures quantify the importance of a node in a network based on different geometric or diffusive properties, and focus on different scales. Here, we adopt a geometrical…
Consensus from group interactions: An adaptive voter model on hypergraphs
Nikos Papanikolaou, Giacomo Vaccario, Erik Hormann +2
We study the effect of group interactions on the emergence of consensus in a spin system. Agents with discrete opinions form groups. They can change their opinion based o…
Consensus dynamics on temporal hypergraphs
Leonie Neuhäuser, Renaud Lambiotte, Michael T. Schaub
We investigate consensus dynamics on temporal hypergraphs that encode network systems with time-dependent, multi-way interactions. We compare this dynamics with that on appropriate…
From centre to centres: polycentric structures in individual mobility
Rohit Sahasrabuddhe, Renaud Lambiotte, Laura Alessandretti
The availability of large-scale datasets collected via mobile phones has opened up opportunities to study human mobility at an individual level. The granular nature of these datase…
Flow-based Community Detection in Hypergraphs
Anton Eriksson, Timoteo Carletti, Renaud Lambiotte +2
To connect structure, dynamics and function in systems with multibody interactions, network scientists model random walks on hypergraphs and identify communities that confine the w…
Consensus Dynamics and Opinion Formation on Hypergraphs
Leonie Neuhäuser, Renaud Lambiotte, Michael T. Schaub
In this chapter, we derive and analyse models for consensus dynamics on hypergraphs. As we discuss, unless there are nonlinear node interaction functions, it is always possible to…
Dynamics of Majority Rule on Hypergraphs
James Noonan, Renaud Lambiotte
A broad range of dynamical systems involve multi-body interactions, or group interactions, which may not be encoded in traditional graphical structures. In this work, we focus on a…
Flow stability for dynamic community detection
Alexandre Bovet, Jean-Charles Delvenne, Renaud Lambiotte
Many systems exhibit complex temporal dynamics due to the presence of different processes taking place simultaneously. An important task in such systems is to extract a simplified…
Variance and covariance of distributions on graphs
Karel Devriendt, Samuel Martin-Gutierrez, Renaud Lambiotte
We develop a theory to measure the variance and covariance of probability distributions defined on the nodes of a graph, which takes into account the distance between nodes. Our ap…
Modelling Non-Linear Consensus Dynamics on Hypergraphs
Rohit Sahasrabuddhe, Leonie Neuhäuser, Renaud Lambiotte
The basic interaction unit of many dynamical systems involves more than two nodes. In such situations where networks are not an appropriate modelling framework, it has recently bec…
Opinion Dynamics with Multi-Body Interactions
Leonie Neuhäuser, Michael T. Schaub, Andrew Mellor +1
We introduce and analyse a three-body consensus model (3CM) for non-linear consensus dynamics on hypergraphs. Our model incorporates reinforcing group effects, which can cause shif…
Multi-body Interactions and Non-Linear Consensus Dynamics on Networked Systems
Leonie Neuhäuser, Andrew Mellor, Renaud Lambiotte
Multi-body interactions can reveal higher-order dynamical effects that are not captured by traditional two-body network models. In this work, we derive and analyse models for conse…