471 citations · 556 across the 16 of their papers we have counts for
18 papers
Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain
Rafael Ramos Tubino, Remy Cazabet, Natkamon Tovanich +1
We study the real economic activity in the Bitcoin blockchain that involves transactions from/to retail users rather than between organizations such as marketplaces, exchanges, or…
Structify-Net: Random Graph generation with controlled size and customized structure
Remy Cazabet, Salvatore Citraro, Giulio Rossetti
Network structure is often considered one of the most important features of a network, and various models exist to generate graphs having one of the most studied types of structure…
Pattern Analysis of Money Flow in the Bitcoin Blockchain
Natkamon Tovanich, Rémy Cazabet
Bitcoin is the first and highest valued cryptocurrency that stores transactions in a publicly distributed ledger called the blockchain. Understanding the activity and behavior of B…
Δ-Conformity: Multi-scale Node Assortativity in Feature-rich Stream Graphs
Salvatore Citraro, Letizia Milli, Rémy Cazabet +1
Heterogeneity is a key aspect of complex networks, often emerging by looking at the distribution of node properties, from the milestone observations on the degree to the recent dev…
Quantitative Evaluation of Snapshot Graphs for the Analysis of Temporal Networks
Alessandro Chiappori, Rémy Cazabet
One of the most common approaches to the analysis of dynamic networks is through time-window aggregation. The resulting representation is a sequence of static networks, i.e. the sn…
Graph model selection by edge probability sequential inference
Louis Duvivier, Rémy Cazabet, Céline Robardet
Graphs are widely used for describing systems made up of many interacting components and for understanding the structure of their interactions. Various statistical models exist, wh…
Edge based stochastic block model statistical inference
Louis Duvivier, Rémy Cazabet, Céline Robardet
Community detection in graphs often relies on ad hoc algorithms with no clear specification about the node partition they define as the best, which leads to uninterpretable communi…
Graph space: using both geometric and probabilistic structure to evaluate statistical graph models
Louis Duvivier, Rémy Cazabet, Céline Robardet
Statistical graph models aim at modeling graphs as random realization among a set of possible graphs. One issue is to evaluate whether or not a graph is likely to have been generat…
Data compression to choose a proper dynamic network representation
Remy Cazabet
Dynamic network data are now available in a wide range of contexts and domains. Several representation formalisms exist to represent dynamic networks, but there is no well-known me…
Evaluating Community Detection Algorithms for Progressively Evolving Graphs
Remy Cazabet, Souaad Boudebza, Giulio Rossetti
Many algorithms have been proposed in the last ten years for the discovery of dynamic communities. However, these methods are seldom compared between themselves. In this article, w…
Minimum entropy stochastic block models neglect edge distribution heterogeneity
Louis Duvivier, Rémy Cazabet, Céline Robardet
The statistical inference of stochastic block models as emerged as a mathematicaly principled method for identifying communities inside networks. Its objective is to find the node…
Challenges in Community Discovery on Temporal Networks
Remy Cazabet, Giulio Rossetti
Community discovery is one of the most studied problems in network science. In recent years, many works have focused on discovering communities in temporal networks, thus identifyi…
Detecting Stable Communities in Link Streams at Multiple Temporal Scales
Souaad Boudebza, Remy Cazabet, Omar Nouali +1
Link streams model interactions over time in a wide range of fields. Under this model, the challenge is to mine efficiently both temporal and topological structures. Community dete…
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods
Aakash Sinha, Rémy Cazabet, Rémi Vaudaine
Link prediction is a popular research topic in network analysis. In the last few years, new techniques based on graph embedding have emerged as a powerful alternative to heuristics…
OLCPM: An Online Framework for Detecting Overlapping Communities in Dynamic Social Networks
Souâad Boudebza, Rémy Cazabet, Faiçal Azouaou +1
Community structure is one of the most prominent features of complex networks. Community structure detection is of great importance to provide insights into the network structure a…
Tracking bitcoin users activity using community detection on a network of weak signals
Remy Cazabet, Baccour Rym, Latapy Matthieu +1
Bitcoin is a cryptocurrency attracting a lot of interest both from the general public and researchers. There is an ongoing debate on the question of users' anonymity: while the Bit…
Community Discovery in Dynamic Networks: a Survey
Giulio Rossetti, Rémy Cazabet
Networks built to model real world phenomena are characeterised by some properties that have attracted the attention of the scientific community: (i) they are organised according t…
Using multiple-criteria methods to evaluate community partitions
Remy Cazabet, Rathachai Chawuthai, Hideaki Takeda
Community detection is one of the most studied problems on complex networks. Although hundreds of methods have been proposed so far, there is still no universally accepted formal d…