Online social networks are more and more studied. The links between users of a social network are... more Online social networks are more and more studied. The links between users of a social network are important and have to be well qualified in order to detect communities and find influencers for example. In this paper, we present an approach based on the theory of belief functions to estimate the degrees of cognitive independence between users in a social network. We experiment the proposed method on a large amount of data gathered from the Twitter social network.
Spatial information is often associated with uncertainty and inaccuracy, and there is a growing r... more Spatial information is often associated with uncertainty and inaccuracy, and there is a growing recognition that this uncertainty must be represented and dealt with. In this paper, we present a new approach based on Dempster–Shafer theory for the representation and management of imprecision and uncertainty of qualitative spatial information. This approach is developed in the context of the Region Connection Calculus 8 (RCC8) and is applicable to geographical information systems (GIS), spatial databases and all applications that manage uncertain relationships between spatial features.
Online social networks are more and more studied. The links between users of a social network are... more Online social networks are more and more studied. The links between users of a social network are important and have to be well qualified in order to detect communities and find influencers for example. In this paper, we present an approach based on the theory of belief functions to estimate the degrees of cognitive independence between users in a social network. We experiment the proposed method on a large amount of data gathered from the Twitter social network.
Online social networks are more and more studied. The links between users of a social network are... more Online social networks are more and more studied. The links between users of a social network are important and have to be well qualified in order to detect communities and find influencers for example. In this paper, we present an approach based on the theory of belief functions to estimate the degrees of cognitive independence between users in a social network. We experiment the proposed method on a large amount of data gathered from the Twitter social network.
Spatial information is often associated with uncertainty and inaccuracy, and there is a growing r... more Spatial information is often associated with uncertainty and inaccuracy, and there is a growing recognition that this uncertainty must be represented and dealt with. In this paper, we present a new approach based on Dempster–Shafer theory for the representation and management of imprecision and uncertainty of qualitative spatial information. This approach is developed in the context of the Region Connection Calculus 8 (RCC8) and is applicable to geographical information systems (GIS), spatial databases and all applications that manage uncertain relationships between spatial features.
Online social networks are more and more studied. The links between users of a social network are... more Online social networks are more and more studied. The links between users of a social network are important and have to be well qualified in order to detect communities and find influencers for example. In this paper, we present an approach based on the theory of belief functions to estimate the degrees of cognitive independence between users in a social network. We experiment the proposed method on a large amount of data gathered from the Twitter social network.
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Papers by manel chehibi