Today, e-commerce has occupied a large volume of economic exchanges. It is known as one of the most effective business practices. Predicted trust which means trusting an anonymous user is important in online communities. In this paper, the trust was predicted by combining two methods of multiplex network and community detection. In modeling the network in terms of a multiplex network, the relat...

A fundamental problem in the analysis of network data is the detection of network communities, groups of densely interconnected nodes, which may be overlapping or disjoint. Here we describe a method for finding overlapping communities based on a principled statistical approach using generative network models. We show how the method can be implemented using a fast, closedform expectation-maximiz...

The problem of finding overlapping communities in networks has gained much attention recently. Optimization-based approaches use nonnegative matrix factorization (NMF) or variants, but the global optimum cannot be provably attained in general. Model-based approaches, such as the popular mixed membership stochastic blockmodel or MMSB (Airoldi et al., 2008), use parameters for each node to specif...

Many people use online social networks to share their opinions and information in this digital age. The number of engaged dynamic nature pose a major challenge for network analysis (SNA). Community detection is one the most critical fascinating issues analysis. Researchers frequently employ node features topological structures recognize important meaningful performance order locate non-overlapp...

Title of dissertation: SPATIAL AND TEMPORAL MODELING OF LARGE-SCALE BRAIN NETWORKS Mahshid Najafi, Doctor of Philosophy, 2017 Dissertation directed by: Professor Jonathan Z. Simon, Department of Electrical and Computer Engineering Professor Luiz Pessoa, Department of Psychology The human brain is the most fascinating and complex organ. It directs all our actions and thoughts. Despite the large ...

Abstract The mental lexicon stores words and information about words. is seen by many researchers as a network, where lexical units are nodes the different links between connections. Based on analysis of word association in this article we show that kinds associative connections exist lexicon. Our based database from agglutinative language Hungarian. We use communities – closely knit groups to ...

In the past ten years, community detection in complex networks has attracted more and more attention of researchers. Communities often correspond to functional subunits in the complex systems. In complex network, a node community can be defined as a subgraph induced by a set of nodes, while a link community is a subgraph induced by a set of links. Although most researches pay more attention to ...

Overlapping community detection has recently drawn much attention in the field of social network analysis. In this paper, we propose a notion of hesitant node (HN) in network with overlapping community structure. An HN is a special kind of node that contacts with multiple communities but the communication is not frequent or even accidental, thus its community structure is implicit and its class...

Community structure exists in many real-world networks and has been reported being related to several functional properties of the networks. The conventional approach was partitioning nodes into communities, while some recent studies start partitioning links instead of nodes to find overlapping communities of nodes efficiently. We extended the map equation method, which was originally developed...

Community structure exists in many real-world networks and has been reported being related to several functional properties of the networks. The conventional approach was partitioning nodes into communities, while some recent studies start partitioning links instead of nodes to find overlapping communities of nodes efficiently. We extended the map equation method, which was originally developed...