community detection
Research on Community Center metric and Community Detection Algorithm for Complex Networks
... local community detection, we divides the nodes in community into the central nodes ( LC 0 ) and the peripheral nodes ( LC 0 ) by the community centrality index in this ...local ...
6
Word Sense Induction by Community Detection
... Building the Co-occurrence Graph The graph is iteratively constructed by adding edges between the terms from a context. For each pair-wise combi- nation of terms, an edge is added and its weight is increased by 1. This ...
5
The many facets of community detection in complex networks
... underpinning community detection and dis- cuss how the resulting problem perspectives relate to various ...for community detection in the literature: (i) community detection as ...
13
Overlapping Community detection Algorithms: A Review
... Gregory [7] presented CONGO algorithm which is based on Girvan Newman community detection algorithm but extends to detect overlapping communities. This algorithm based on the concept of split betweeness. In ...
7
Overlapping community detection for count-value networks
... overlapping community has become a very hot research topic in the ...overlapping community detection for count-value networks that naturally arise and are pervasive in our modern life, has not yet ...
18
An optimized approach for community detection and ranking
... A community is a group of people with mutual ...the community and relation- ships outside are respectively shown by internal edges and external ...a community where number of external edges are ...
12
Taxonomy of Community Detection over Social Media
... Ding et al. [29] exploited Coarse K-Medoid clustering and presented a novel trust-model based community detection algorithm (TLCDA) to detect overlapping communities in social networks. In TLCDA, user ...
7
Community Focusing: Yet Another Query-Dependent Community Detection
... query-dependent community detection, community search finds a densely connected subgraph con- taining a set of query ...of community search, most methods of commu- nity search often find a ...
9
Community Detection in Social Network with Outlier Recognition
... non-overlapping community. Then, [9] was represented the new community detection method on network ...and community structure in networks based on the problem of detecting and characterizing ...
7
A Survey on Botnet Detection Based On Anomaly and Community Detection
... botnet detection that consists of two ...anomaly detection methods, both of which are based on large deviations results, for flow and packet level data, ...anomaly detection methods, an anomaly can ...
7
Online Community Detection for Large Complex Networks
... for community detec- ...the community detection problem based on the social networks ...of community detection algorithms is in [Lancichinetti and Fortunato, ...
7
Community detection in networks: a game theoretic framework
... of community structure, various community detection approaches have been proposed in the literature to identify meaningful communities in net- works ...Existing community detection ...
12
Community detection in networks without observing edges
... most community detection methods rely on the assumption that the network edges have been accurately observed ...genuine community structure from noise, a generic problem in network science ...
12
Significance-based community detection in weighted networks
... Many community detection methods are based on a null model, which in this context means a random network model without explicit community ...incorporate community-specific criteria which are ...
48
Efficient Community Detection
... a community in local community ...local community detection can be categorised into three ...a community should be densely connected with each ...[The community-search problem ...
72
A multilevel approach for overlapping community detection
... each community with different strengths of ...overlapping community detection were proposed in the literature, most of them have a good accuracy but their computational cost is considerably ...
7
Dynamic graphs, community detection, and Riemannian geometry
... dynamic community detection has received significant interest in the academic literature (Cazabet and Amblard ...munity detection broadly fall under two headings: incremental community ...
30
Community structure: A comparative evaluation of community detection methods
... of community in the network science literature is derived from the mechanism of connection ...a community is a group of nodes (a subgraph) in a graph where there must be more edges (denser) connect- ing ...
49
Community Detection In Large Networks
... questions community detection seeks to answer. First, what is a community and second, what are the commu- nities? Several approaches have been developed to answer these two questions, some with a ...
81
Generalized Measures for the Evaluation of Community Detection Methods
... coefficient), community sizes, embeddedness, etc. Eight different community detection algorithms are applied to these networks, in order to estimate the community ...perform community ...
23