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The four dimensions of social network analysis: An overview of research methods, applications, and software tools
Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …
One of the reasons for this rise is that this application domain offers a particularly fertile …
Practice of streaming processing of dynamic graphs: Concepts, models, and systems
Graph processing has become an important part of various areas of computing, including
machine learning, medical applications, social network analysis, computational sciences …
machine learning, medical applications, social network analysis, computational sciences …
Maximal defective clique enumeration
Maximal clique enumeration is a fundamental operator in graph analysis. The model of
clique, however, is typically too restrictive for real-world applications as it requires an edge …
clique, however, is typically too restrictive for real-world applications as it requires an edge …
Practice of streaming processing of dynamic graphs: Concepts, models, and systems
Graph processing has become an important part of various areas of computing, including
machine learning, medical applications, social network analysis, computational sciences …
machine learning, medical applications, social network analysis, computational sciences …
Clique identification in signed graphs: a balance theory based model
Clique, as a fundamental model for graph analysis, is widely investigated in the literature.
However, with the emergence of various graph data, such as signed graph, novel clique …
However, with the emergence of various graph data, such as signed graph, novel clique …
On fast enumeration of maximal cliques in large graphs
Abstract Maximal Clique Enumeration (MCE) is a fundamental and challenging problem in
graph theory and various network applications. Numerous algorithms have been proposed …
graph theory and various network applications. Numerous algorithms have been proposed …
Efficient maximal frequent group enumeration in temporal bipartite graphs
Cohesive subgraph mining is a fundamental problem in bipartite graph analysis. In reality,
relationships between two types of entities often occur at some specific timestamps, which …
relationships between two types of entities often occur at some specific timestamps, which …