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Results 1 - 10
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55
Semantic analysis of tag similarity measures in collaborative tagging systems
, 2008
"... Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learni ..."
Abstract
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Cited by 24 (1 self)
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into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept
Generalized Louvain method for community detection in large networks
"... Abstract—In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do so, our algorithm exploits a novel measure of edge centrality, based on the κ-paths. This te ..."
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Abstract—In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do so, our algorithm exploits a novel measure of edge centrality, based on the κ
Generalized Louvain Method for Community Detection in Large Networks
"... Abstract—In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do so, our algorithm exploits a novel measure of edge centrality, based on the κ-paths. This te ..."
Abstract
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Abstract—In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do so, our algorithm exploits a novel measure of edge centrality, based on the κ
Network science Complex network Community detection
"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:
unknown title
, 1999
"... The origin of the spacetime metric: Bell’s ‘Lorentzian pedagogy ’ and its significance in general relativity ∗ ..."
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The origin of the spacetime metric: Bell’s ‘Lorentzian pedagogy ’ and its significance in general relativity ∗
unknown title
, 1999
"... The origin of the spacetime metric: Bell’s ‘Lorentzian pedagogy ’ and its significance in general relativity ∗ ..."
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The origin of the spacetime metric: Bell’s ‘Lorentzian pedagogy ’ and its significance in general relativity ∗
2.1.1 Orthodoxy
"... I discuss Julian Barbour's Machian theories of dynamics, and his proposal that a Machian perspective enables one to solve the problem of time in quantum ge-ometrodynamics (by saying that there is no time!). I concentrate on his recent ..."
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I discuss Julian Barbour's Machian theories of dynamics, and his proposal that a Machian perspective enables one to solve the problem of time in quantum ge-ometrodynamics (by saying that there is no time!). I concentrate on his recent
Results 1 - 10
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