Big networks: A survey
HD Bedru, S Yu, X ** community detection by constrained personalized PageRank
Y Gao, X Yu, H Zhang - Expert Systems with Applications, 2021 - Elsevier
Given a network, local community detection (aka graph clustering) methods aim at finding
communities around the selected initial nodes (also referred to as seeds, starting nodes or …
communities around the selected initial nodes (also referred to as seeds, starting nodes or …
Uncovering the small community structure in large networks: A local spectral approach
Large graphs arise in a number of contexts and understanding their structure and extracting
information from them is an important research area. Early algorithms on mining …
information from them is an important research area. Early algorithms on mining …
Local spectral clustering for overlap** community detection
Large graphs arise in a number of contexts and understanding their structure and extracting
information from them is an important research area. Early algorithms for mining …
information from them is an important research area. Early algorithms for mining …
Ego-splitting framework: From non-overlap** to overlap** clusters
We propose ego-splitting, a new framework for detecting clusters in complex networks which
leverage the local structures known as ego-nets (ie the subgraph induced by the …
leverage the local structures known as ego-nets (ie the subgraph induced by the …
Detecting overlap** communities from local spectral subspaces
Based on the definition of local spectral subspace, we propose a novel approach called
LOSP for local overlap** community detection. Using the power method for a few steps …
LOSP for local overlap** community detection. Using the power method for a few steps …
In a world that counts: Clustering and detecting fake social engagement at scale
How can web services that depend on user generated content discern fake social
engagement activities by spammers from legitimate ones? In this paper, we focus on the …
engagement activities by spammers from legitimate ones? In this paper, we focus on the …
Ego-net community mining applied to friend suggestion
In this paper, we present a study of the community structure of ego-networks---the graphs
representing the connections among the neighbors of a node---for several online social …
representing the connections among the neighbors of a node---for several online social …
Triangle-aware spectral sparsifiers and community detection
Triangle-aware graph partitioning has proven to be a successful approach to finding
communities in real-world data [8, 40, 51, 54]. But how can we explain its empirical success …
communities in real-world data [8, 40, 51, 54]. But how can we explain its empirical success …