21.7k citations · 31.6k across the 143 of their papers we have counts for
32 papers · 1 filter
Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram
Bridget Smart, Renaud Lambiotte, Takaaki Aoki +1
Characterizing temporal interactions in social systems is challenging because social behavior can be bursty and non-stationary, violating the stationarity assumptions of many metho…
SignedLouvain: Louvain for signed networks
John N. Pougué-Biyong, Renaud Lambiotte
In this article, we consider the problem of community detection in signed networks. We propose SignedLouvain, an adaptation of the Louvain method to maximise signed modularity, eff…
Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks
Naomi A. Arnold, Peijie Zhong, Cheick Tidiane Ba +5
Distributed ledger technologies have opened up a wealth of fine-grained transaction data from cryptocurrencies like Bitcoin and Ethereum. This allows research into problems like an…
Encapsulation Structure and Dynamics in Hypergraphs
Timothy LaRock, Renaud Lambiotte
Hypergraphs have emerged as a powerful modeling framework to represent systems with multiway interactions, that is systems where interactions may involve an arbitrary number of age…
Structural Balance and Random Walks on Complex Networks with Complex Weights
Yu Tian, Renaud Lambiotte
Complex numbers define the relationship between entities in many situations. A canonical example would be the off-diagonal terms in a Hamiltonian matrix in quantum physics. Recent…
Raphtory: The temporal graph engine for Rust and Python
Ben Steer, Naomi Arnold, Cheick Tidiane Ba +15
Raphtory is a platform for building and analysing temporal networks. The library includes methods for creating networks from a variety of data sources; algorithms to explore their…
Non-Markovian paths and cycles in NFT trades
Haaroon Yousaf, Naomi A. Arnold, Renaud Lambiotte +5
Recent years have witnessed the availability of richer and richer datasets in a variety of domains, where signals often have a multi-modal nature, blending temporal, relational and…
Spreading and Structural Balance on Signed Networks
Yu Tian, Renaud Lambiotte
Two competing types of interactions often play an important part in shaping system behavior, such as activatory or inhibitory functions in biological systems. Hence, signed network…
Entropy-based models to randomize real-world hypergraphs
Fabio Saracco, Giovanni Petri, Renaud Lambiotte +1
Network theory has often disregarded many-body relationships, solely focusing on pairwise interactions: neglecting them, however, can lead to misleading representations of complex…
Unifying information propagation models on networks and influence maximization
Yu Tian, Renaud Lambiotte
Information propagation on networks is a central theme in social, behavioral, and economic sciences, with important theoretical and practical implications, such as the influence ma…
Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election
Matteo Bruno, Renaud Lambiotte, Fabio Saracco
Online Social Networks represent a novel opportunity for political campaigns, revolutionising the paradigm of political communication. Nevertheless, many studies uncovered the pres…
Modeling Collective Anticipation and Response on Wikipedia
Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno +1
The dynamics of popularity in online media are driven by a combination of endogenous spreading mechanisms and response to exogenous shocks including news and events. However, littl…
Extracting Complements and Substitutes from Sales Data: A Network Perspective
Yu Tian, Sebastian Lautz, Alisdiar O. G. Wallis +1
The complementarity and substitutability between products are essential concepts in retail and marketing. Qualitatively, two products are said to be substitutable if a customer can…
The anatomy of Reddit: An overview of academic research
Alexey N. Medvedev, Renaud Lambiotte, Jean-Charles Delvenne
Online forums provide rich environments where users may post questions and comments about different topics. Understanding how people behave in online forums may shed light on the f…
Community detection in networks without observing edges
Till Hoffmann, Leto Peel, Renaud Lambiotte +1
We develop a Bayesian hierarchical model to identify communities in networks for which we do not observe the edges directly, but instead observe a series of interdependent signals…
Structured networks and coarse-grained descriptions: a dynamical perspective
Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte +1
This chapter discusses the interplay between structure and dynamics in complex networks. Given a particular network with an endowed dynamics, our goal is to find partitions aligned…
Multiscale dynamical embeddings of complex networks
Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte +1
Complex systems and relational data are often abstracted as dynamical processes on networks. To understand, predict and control their behavior, a crucial step is to extract reduced…
Relating modularity maximization and stochastic block models in multilayer networks
A. Roxana Pamfil, Sam D. Howison, Renaud Lambiotte +1
Characterizing large-scale organization in networks, including multilayer networks, is one of the most prominent topics in network science and is important for many applications. O…
Modelling structure and predicting dynamics of discussion threads in online boards
Alexey N. Medvedev, Jean-Charles Delvenne, Renaud Lambiotte
Internet boards are platforms for online discussions about a variety of topics. On these boards, individuals may start a new thread on a specific matter, or leave comments in an ex…
Different approaches to community detection
Martin Rosvall, Jean-Charles Delvenne, Michael T. Schaub +1
A precise definition of what constitutes a community in networks has remained elusive. Consequently, network scientists have compared community detection algorithms on benchmark ne…
Multiscale mixing patterns in networks
Leto Peel, Jean-Charles Delvenne, Renaud Lambiotte
Assortative mixing in networks is the tendency for nodes with the same attributes, or metadata, to link to each other. It is a property often found in social networks manifesting a…
The many facets of community detection in complex networks
Michael T. Schaub, Jean-Charles Delvenne, Martin Rosvall +1
Community detection, the decomposition of a graph into essential building blocks, has been a core research topic in network science over the past years. Since a precise notion of w…
TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics
Ryota Kobayashi, Renaud Lambiotte
Online social networking services allow their users to post content in the form of text, images or videos. The main mechanism driving content diffusion is the possibility for users…
Predicting links in ego-networks using temporal information
Lionel Tabourier, Anne-Sophie Libert, Renaud Lambiotte
Link prediction appears as a central problem of network science, as it calls for unfolding the mechanisms that govern the micro-dynamics of the network. In this work, we are intere…