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[PDF] Top 20 The many facets of community detection in complex networks

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The many facets of community detection in complex networks

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 ... See full document

13

Structural and functional analytics for community detection in large-scale complex networks

Structural and functional analytics for community detection in large-scale complex networks

... of complex technological and social ...micro-community detection for social and technological complex networks with overlapping ...overlapping community detection based on ... See full document

28

A parallel self-organizing community detection algorithm based on swarm intelligence for large scale complex networks

A parallel self-organizing community detection algorithm based on swarm intelligence for large scale complex networks

... very complex networks induce three staple challenges for a community detection algorithm: (1) overlapping community structure detection, especially high overlapping density (a ... See full document

10

Research on Community Center metric and Community Detection Algorithm for Complex Networks

Research on Community Center metric and Community Detection Algorithm for Complex Networks

... of complex systems in nature. These systems can be described by complex networks, such as interpersonal networks [1] , collaboration networks of scientific research communities [2] , ... See full document

6

MPSI: A Multi pathogenic Susceptible infected Algorithm for Overlapping Community Detection in Complex Networks

MPSI: A Multi pathogenic Susceptible infected Algorithm for Overlapping Community Detection in Complex Networks

... Based on this, Steve proposed an algorithm for finding overlapping community structure in very large networks, named COPRA[18] Community Overlap Propagation Algorithm.. In addition, this[r] ... See full document

8

A parallel self-organizing overlapping community detection algorithm based on swarm intelligence for large scale complex networks

A parallel self-organizing overlapping community detection algorithm based on swarm intelligence for large scale complex networks

... shared community storage ...of community evolution (vertex actions) to related subnetworks aiming to keep changed communities be in ...of community evolution and renew local communities, and then ... See full document

51

An Entropy Gain Ratio based Algorithm for Community Detection in Mobile Social Networks

An Entropy Gain Ratio based Algorithm for Community Detection in Mobile Social Networks

... Abstract. Community structure is one of the important properties of complex networks, and many algorithms have been proposed to detected community based on optimization of Modularity ... See full document

6

On community structure in complex networks: challenges and opportunities

On community structure in complex networks: challenges and opportunities

... to community detection is to select a metric of community quality and maxi- mize ...of community structure that measures the difference between the observed fraction of edges within a ... See full document

35

Community Detection in Complex Network via BGLL Algorithm

Community Detection in Complex Network via BGLL Algorithm

... of networks in nature, society and technology are defined by a mesoscopic level of organization, in which groups of nodes form tightly connected units, called communities, that are sparsely inter-linked to each ... See full document

11

Community Detecting by Signal and Flooding Algorithm on Complex Networks

Community Detecting by Signal and Flooding Algorithm on Complex Networks

... of community detection to the designing problem of predefined heuristic ...of complex network to an optimization problem, which is used to calculate the complex network community ... See full document

9

Module detection in complex networks using integer optimisation

Module detection in complex networks using integer optimisation

... in community structures detected, more pathways were significantly enriched in the iMod ...Miserables networks were considered by four methodologies (iMod, EB, QCUT and Greedy), the ...four networks ... See full document

11

Communicability graph and community structures in complex networks

Communicability graph and community structures in complex networks

... We use the concept of the network communicability (Phys. Rev. E 77 (2008) 036111) to define communities in a complex network. The communities are defined as the cliques of a “communicability graph”, which has the ... See full document

36

Exploring the Community Structure of Complex Networks

Exploring the Community Structure of Complex Networks

... a community structure becomes more ...consider community detection we also use the fast greedy algorithm which performs well with large ...The community 5 shows a higher level than ... See full document

31

Influence spreading model used to analyse social networks and detect sub-communities

Influence spreading model used to analyse social networks and detect sub-communities

... for community discovery methods in complex networks has been presented in ...different community discovery methods have been described in the review: feature distance, internal density, bridge ... See full document

39

Community detection in networks without observing edges

Community detection in networks without observing edges

... synthetic networks in appendix ...standard community detec- tion with modularity optimization, balanced sizes between commu- nities are induced by the so-called diversity index in the quality function ... See full document

12

Spreading Dynamics of a Social Information Model with Overlapping Community Structures on Complex Networks

Spreading Dynamics of a Social Information Model with Overlapping Community Structures on Complex Networks

... the detection of overlapping communities as well as hubs as an optimization problem on it ...each community in an oblivious ...one community, and we do not care whether it has been already allotted ... See full document

11

Miniaturized Fractionation and Purification of Analytes of Interest in Complex Mixtures: Protein Enrichment and Purification with Capillary Electrophoresis and  Identification of Pesticide Chemicals in Bio-oils

Miniaturized Fractionation and Purification of Analytes of Interest in Complex Mixtures: Protein Enrichment and Purification with Capillary Electrophoresis and Identification of Pesticide Chemicals in Bio-oils

... Although chromatography is the most common platform for phosphopeptide enrichment and isolation techniques, miniaturized formats such as magnetic beads are being investigated. Magnetic beads are a unique platform that ... See full document

242

Community detection in networks: a game theoretic framework

Community detection in networks: a game theoretic framework

... Real-world networks are often cluttered and hard to ...most networks have the community structure, ...certain community, which enables people to better understand the constitution of the ... See full document

12

Overlapping community detection for count-value networks

Overlapping community detection for count-value networks

... overlapping community detection for count-value social ...count-value networks with overlapping community structure: the network is modeled as a Poisson point process, after applying Poisson ... See full document

18

Insights into microbial ecosystems using a new computational approach

Insights into microbial ecosystems using a new computational approach

... Following from these interesting findings, the question of the presence of universality of dynamics in disturbed microbiomes was raised. Clostridium difficile infections (CDI) arise from such microbiomes, usually as a ... See full document

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