In this paper we consider a different scenario, where the network is dynamic, i.e. nodes/relationships can be added or removed and relationships can change in ...

In this paper we consider a different scenario, where the network is dynamic, i.e. nodes/relationships can be added or removed and relationships can change in ...

Abstract. Most of the works on learning from networked data assume that the network is static. In this paper we consider a different scenario,.

This paper tackles the problem of discovering evolution chains, which express the temporal evolution of the "core" of the network, and follows a frequent ...

The proposed method proceeds in two steps: 1) identification of changes through the discovery of emerging patterns; 2) composition of evolution chains by ...

Abstract: Most of the works on learning from networked data assume that the network is static. In this paper we consider a different scenario, ...

Nov 5, 2021 · The basic idea of the snapshot matching-based method is first to discover each network snapshot independently based on the static community ...

The proposed method proceeds in two steps: 1) identification of changes through the discovery of emerging patterns; 2) composition of evolution chains by ...

Abstract—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Evolutionary clustering is a ...

Jun 1, 2020 · In this article, we study evolution of social networks at the level of community structure, by tracking different transformations of communities over time.