[PDF] Top 20 Community detection in networks via nonlinear modularity eigenvectors
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Community detection in networks via nonlinear modularity eigenvectors
... A community is roughly defined as a set of nodes being highly connected inside and poorly connected with the rest of the ...a community structure in a complex network is a highly relevant problem which has ... See full document
23
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
Improved spectral community detection in large heterogeneous networks
... of networks into communities (Fortunato, ...the modularity maximizing graph partition is generally an NP-hard problem and many polynomial-time approximation methods have been proposed: greedy methods ... See full document
49
Research on Community Center metric and Community Detection Algorithm for Complex Networks
... complex networks, such as interpersonal networks [1] , collaboration networks of scientific research communities [2] , journal citation networks [3] , information network [4] ,protein ... See full document
6
Community Detection in Complex Networks
... solve community detection in static networks; this field need more in- vestigation for discovering the accurate structure or analysing these ...the community (Intra-connections) and the second ... See full document
136
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
Community Detection in Social Networks Considering Topic Correlations
... However, several issues have not been well resolved by existing methods. By analyzing a large number of social networks, beyond the observation that a community might focus on several topics (Jin et al. ... See full document
8
Community Detection In Evolving Networks
... large networks, efficient algorithms for community detection become very im- portant as it is impossible to visualize networks of millions of ...nodes. Community de- tection has a lot ... See full document
117
Community detection in networks without observing edges
... most community detection methods rely on the assumption that the network edges have been accurately observed ...Newman-Girvan modularity (18), a popular measure to evaluate com- munity structure in ... See full document
12
The many facets of community detection in complex networks
... on community detection has primarily focused on modelling the dynamics with Markovian diffusion processes (Delvenne et ...a community corresponding to the fast time-scale, before it can escape and ... See full document
13
Community Detection in Networks
... local community detection problem. Ad hoc networks usually have no centrally maintained routing tables which specify the way of communication between ...shows community structure in a ... See full document
32
A new approach for community detection in multilayer networks.
... real-world networks is also expressed by the presence of different type of inter- actions among nodes; such networks are named multilayer ...as modularity (Mucha et ...weighted networks in a ... See full document
61
Online Community Detection for Large Complex Networks
... the modularity can be expressed in terms of the eigen- vectors of a characteristic matrix for the network and that this expression leads to a spectral algorithm for community detec- ...the community ... See full document
7
Community detection in social networks
... entitled, COMMUNITY DETECTION IN SOCIAL NETWORKS subm itted by SOUMYAKANT PRIYADAR- SHAN(109CS0176) in partial fulfillm ent of the requirem ents for the com ple- tion of B achelor of T echnology D ... See full document
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A STUDY ON EFFICIENT COMMUNITY DETECTION TECHNIQUES IN SOCIAL NETWORKS
... A community in a social network can also be defined as a collection of users considered as a group such that there are high interrelations or associations among members within the ...social networks and ... See full document
8
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 ...un-weighted networks the most common null is the ... See full document
48
Community Detection in Social Networks
... with community detection algorithms that have been implemented and tested, with refined use of data structures, as part of this ...agglomerative community detection algorithm proposed by Aaron ... See full document
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SOCIAL NETWORKS COMMUNITY DETECTION USING THE SHAPLEY VALUE
... these networks has received significant ...the community detection problem (CDP) by a novel framework based on Information Diffusion Model and Shapley Value ...the community structure of the ... See full document
15
Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates
... when community numbers increase with everything else fixed, the decay of effective information in each layer is different, so the optimal weights change as ... See full document
97
Community Detection Detailed for Online Social Networks
... the modularity gained, defined by equa- tion ...in modularity optimization if they are too small in comparison to the rest of the network there is no gain in separating these ...leading eigenvectors. ... See full document
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