[PDF] Top 20 SOCIAL NETWORKS COMMUNITY DETECTION USING THE SHAPLEY VALUE
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SOCIAL NETWORKS COMMUNITY DETECTION USING THE SHAPLEY VALUE
... studying social networks and their properties since the 20th ...in social networks ...these networks to millions or even billions of vertices have produced a deep change in the way ... See full document
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Spreading Dynamics of a Social Information Model with Overlapping Community Structures on Complex Networks
... [25], social stabilize [26] [27], non-redundancy of contacts [28], ...illustrate social information spreading on overlapping community ...the detection of overlapping communities as well as ... See full document
11
A Genetic Algorithm for Identifying Overlapping Communities in Social Networks Using an Optimized Search Space
... Analyzing the identified overlap in the Pilgrim net- work yields interesting results. The only detected over- lapping node in the optimal modularity solution for Pil- grim was 21. In the next run, with a slightly lowered ... See full document
9
The Role of Prior Knowledge in Multi-Population Cultural Algorithms for Community Detection in Dynamic Social Networks
... problems using the nature inspired processes such as mutation, crossover, and ...started using a population of randomly generated candidate solutions ...fitness value of every individual in ... See full document
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A parallel self-organizing overlapping community detection algorithm based on swarm intelligence for large scale complex networks
... the community structure of a network evolved to the current ...own community associations according to a defined utility func- tion, that consists of two parts, a gain function and a loss ...the ... See full document
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A STUDY ON EFFICIENT COMMUNITY DETECTION TECHNIQUES IN SOCIAL NETWORKS
... on community detection techniques has been done in the context of online social networks ...various community detection methods for networks with static and dynamic nature ... See full document
8
A tale of two towns: A comparative study exploring the possibilities and pitfalls of social capital among people seeking recovery from substance misuse
... and value of social networks, and how such networks translate into social ...the social networks developed by people who formerly used drugs during their stages of ... See full document
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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 ... See full document
8
Influence spreading model used to analyse social networks and detect sub-communities
... Typically, social networks with weak interactions between nodes, or social networks in their early development phases, have several local maxima with different composi- ...dynamic ... See full document
39
Overlapping Community Detection in Social Networks Using Parliamentary Optimization Algorithm
... as social [1] and biological networks [2], can be naturally represented as complex networks ...such networks. To do so, networks are modeled as graphs, where nodes represent individual ... See full document
8
An application of the Shapley value to the analysis of co-expression networks
... a community structure (Li and Daniels 2015; Li et ...the Shapley value along the lines discussed in the motivating example of “A motivating example” section and in Example 1, does not apply to the ... See full document
21
Overlapping community detection for count-value networks
... There already have some pioneering works which composing the ideas of the classical MMSB model and the nonparametric Bayesian approach to increase the flexibility of net- work generative process by letting each node ... See full document
18
Sparse Classifier Design Based on the Shapley Value
... ues on the algorithm, we ran SCM on all datasets with different values of d (size of subsets analyzed) and val- ues of t (number of permutations in each iteration). For small values of d, not enough interactions between ... See full document
6
Reject and Renegotiate : the Shapley value in multilateral bargaining
... the Shapley value can be ...The Shapley value can be realized in an SPE where no renegotiation is actually played, or can be reached in an SPE where a proposer made his offer be rejected but ... See full document
19
A Decomposition of the Atkinson Index through the Shapley Value
... In the context of difference in opportunities and re- sponsibility by the agents, where the opportunities are the set of circumstances in which agents are developed, and the responsibility refers to the efforts and ... See full document
6
manuscript-17aug-17.pdf
... Third, Theorem 2 shows that the Rolodex game yields the Shapley values in the context of the wage bargaining between a …rm and its workers. The context is restrictive along two dimensions: (i) the …rm is essential ... See full document
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A parallel self-organizing community detection algorithm based on swarm intelligence for large scale complex networks
... complex networks induce three staple challenges for a community detection algorithm: (1) overlapping community structure detection, especially high overlapping density (a large percent ... See full document
10
Compensations in the Shapley value and the compensation solutions for graph games
... Another less-known interpretation of the Shapley value is due to Eisenman [4]. Eisenman envisages a situation in which the grand coalition is split into a “two-alliances”, i.e two blocks bargaining against ... See full document
20
An Analysis of the Shapley Value and its Uncertainty for the Voting Game
... the Shapley value provides a unique solution, it has two key ...the Shapley value is # P -complete ...the Shapley value provides an addi- tional dimension for evaluating a ... See full document
14
Shapley value regression and the resolution of multicollinearity
... 3. Shapley value regression: This is an entirely different strategy to assess the contribution of regressor variables to the regressand ...The value of R 2 obtained by fitting a linear regression ... See full document
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