The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

Influence maximization (IM) is an important topic in network science where a small seed set
is chosen to maximize the spread of influence on a network. Recently, this problem has …

Diffusion in social networks has been studied extensively in the past few years. Most
previous work assumes that the underlying network is a static object that remains …

Temporal networks come with a wide variety of heterogeneities, from burstiness of event
sequences to correlations between timings of node and link activations. In this paper, we set …

Un grand nombre de données sont représentables sous la forme d'un graphe (ensemble de
nœuds liés par des liens). Dans cet exposé, je montrerai que deux problèmes majeurs …

Complex networks may be studied in various ways, eg, by analyzing the evolutions of their
topologies over time, and in particular of their community structures. In this paper, we focus …

The analysis of social networks is a challenging research area, in particular because of their
dynamic features. In this paper, we study such evolving graphs through the evolution of their …

Infectious diseases are a significant threat to human society which was over sighted before
the incidence of COVID-19, although according to the report of the World Health …

Modelling diffusion processes on dynamic contact networks is an important research area
for epidemiology, marketing, cybersecurity, and ecology. However, current diffusion models …

[tel-00994766, v1] Analyse exploratoire de flots de liens pour la détection d'événements Page 1
THÈSE DE DOCTORAT DE l'UNIVERSITÉ PIERRE ET MARIE CURIE Spécialité Informatique …