activity
20152017
most citedTwo Evidential Data Based Models for Influence Maximization in Twitter

52 citations · 100 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2017★ 6 cited

Dynamic time warping distance for message propagation classification in Twitter

Siwar Jendoubi, Arnaud Martin, Ludovic Liétard +2

Social messages classification is a research domain that has attracted the attention of many researchers in these last years. Indeed, the social message is different from ordinary…

cs.SI2017★ 52 cited

Two Evidential Data Based Models for Influence Maximization in Twitter

Siwar Jendoubi, Arnaud Martin, Ludovic Liétard +2

Influence maximization is the problem of selecting a set of influential users in the social network. Those users could adopt the product and trigger a large cascade of adoptions th…

cs.SI2016★ 9 cited

Maximizing positive opinion influence using an evidential approach

Siwar Jendoubi, Arnaud Martin, Ludovic Liétard +2

In this paper, we propose a new data based model for influence maximization in online social networks. We use the theory of belief functions to overcome the data imperfection probl…

cs.AI2015★ 19 cited

Combining partially independent belief functions

Mouna Chebbah, Arnaud Martin, Boutheina Ben Yaghlane

The theory of belief functions manages uncertainty and also proposes a set of combination rules to aggregate opinions of several sources. Some combination rules mix evidential info…

cs.AI2015★ 14 cited

A Distance-Based Decision in the Credal Level

Amira Essaid, Arnaud Martin, Grégory Smits +1

Belief function theory provides a flexible way to combine information provided by different sources. This combination is usually followed by a decision making which can be handled…

cs.AI2015

Inclusion within Continuous Belief Functions

Dorra Attiaoui, Pierre-Emmanuel Doré, Arnaud Martin +1

Defining and modeling the relation of inclusion between continuous belief function may be considered as an important operation in order to study their behaviors. Within this paper…