23 天前 - … to convert large graphs into a format that is more manageable by local community
search … data and notably large networks have brought local search methods into the spotlight. …

26 天前 - … Community detection methods, especially the LMFLS algorithm handles large
graphs, … central nodes of communities [19] and adopting local metrics to expand initial …

40 天前 - … graph G is drawn from a sparse 2-community stochastic block model. We show that
for sufficiently large … {±1}n that have constant correlation with the hidden community vector σ. …

71 天前 - … This paper presents a community search algorithm based on SGNN, which is
introduced from two aspects: node attribute score calculation and community search, as shown in …

77 天前 - … This paper presents a community search algorithm based on SGNN, which is
introduced from two aspects: node attribute score calculation and community search, as shown in …

89 天前 - … and analysed separately and presented in figures, graphs, and tables. Lack of
awareness … in disserminating information to local municipality to engage communities of the study …

91 天前 - … graph representation methods. Moreover, we find that there are pervasive sub-communities …
Based on our local algorithm, we propose a real combat strategy against the money …

98 天前 - … in a BFS manner by integrating the local framework, shrinking strategy, and breaking
… the search efficiency, we propose a 2-approximation algorithm. To deal with large graphs, …

102 天前 - … Relatedly, we also find increased agent memory is important for performance in all
… and managers, or local offices and head offices; even perfect agents find themselves in an …

107 天前 - … large graphs, we add two nonattributed datasets, Orkut and Friendster, that contain
5000 top-quality ground-truth communities. … Local search of communities in large graphs. In …