Detecting overlapping communities in networks based on two node behavior models
碩士 === 國立清華大學 === 電機工程學系 === 100 === In this thesis, we propose an algorithm that detects overlapping communities in networks (graphs) based on two simple node behavior models. The key idea in our algorithm is to find communities in a local agglomerative manner such that every community S has the fo...
Main Authors: | Chen, Hsien-Tsan, 陳顯瓚 |
---|---|
Other Authors: | Cheng, Jay |
Format: | Others |
Language: | en_US |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/25265635329094926467 |
Similar Items
-
Detecting Overlapping Community Structure With Node Influence
by: Qiang Zhou, et al.
Published: (2019-01-01) -
A New Approach for Overlapping Community Detection by Adding Node Weight in Modularity Optimization
by: Chine-Yu Chen, et al.
Published: (2015) -
Node-Based Resilience Measure Clustering with Applications to Noisy and Overlapping Communities in Complex Networks
by: John Matta, et al.
Published: (2018-08-01) -
Overlapping Community Detection in Weighted Temporal Text Networks
by: Rui Dong, et al.
Published: (2020-01-01) -
Network module detection: Affinity search technique with the multi-node topological overlap measure
by: Horvath Steve, et al.
Published: (2009-07-01)