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Distributed estimation of closeness centrality
2015 54th IEEE Conference on Decision and Control (CDC), 2015Closeness centrality is a fundamental centrality measure that quantifies how centrally located a node is, within a network, based on its total distances to all other nodes. In this paper, we first derive a set of linear inequality and equality constraints, which are distributed in nature, that characterize closeness centrality in lieu of its original ...
Wei Wang, Choon Yik Tang
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FINITE GROUPS WITH 2-CLOSED OR 2'-CLOSED CENTRALIZERS OF INVOLUTIONS
Mathematics of the USSR-Izvestiya, 1971Finite nonsolvable groups are described whose involution centralizers are 2-closed or 2′-closed, whereas the Sylow p-subgroups for p>2 are cyclic.
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Closeness Centrality on BBS Reply Network
2011 International Conference of Information Technology, Computer Engineering and Management Sciences, 2011In this paper, a reply network was constructed with the data downloaded from SINA BBS. Based on the complex network theory, we firstly studied the node closeness centrality and graph closeness centralization of the reply network, and analyzed the influence of the central figure in reply network by studying the node closeness centrality.
Ke Zhang, Hui Li, Lijuan Qin, Min Wu
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Closeness Centrality: A Social Network Perspective
Journal of International and Interdisciplinary Business Research, 2019Although the topic of a firm’s network centrality has received significant attention in the literature, little is known about the theoretical concepts behind closeness centrality. This study reviews the definitions of closeness centrality that have been proposed by researchers.
Dong-Young Kim +3 more
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Centrally closed hopf module algebras
Communications in Algebra, 1991We introduce a concept of centrally closed Hopf module algebras and show that centrally closed Hopf module algebras inherit all basic properties of centrally closed algebras.
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CLOSENESS CENTRALITY IN GRAPH PRODUCTS
Advances and Applications in Discrete Mathematics, 2023Eballe, R. G. +7 more
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Efficient top-k closeness centrality search
2014 IEEE 30th International Conference on Data Engineering, 2014Many of today's applications can benefit from the discovery of the most central entities in real-world networks. This paper presents a new technique that efficiently finds the k most central entities in terms of closeness centrality. Instead of computing the centrality of each entity independently, our technique shares intermediate results between ...
Paul W. Olsen +2 more
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Efficient Maximum Closeness Centrality Group Identification
2016As a key concept in the social networks, closeness centrality is widely adopted to measure the importance of a node. Many efficient algorithms are developed in the literature to find the top-k closeness centrality nodes. In most of the previous work, nodes are treated as irrelevant individuals for a top-k ranking.
Chen Chen, Wei Wang, Xiaoyang Wang
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Heterogeneous IHRRN Scheduler Based on Closeness Centrality
2020Big Data is the current emerging trend in data analytics. MapReduce is the programming model which is widely used for the data intensive applications in the Big Data environment. Scheduling of job attempts to provide faster processing of jobs and to reduce the response time to the minimum by using innovative techniques for allocating system resources ...
V. Seethalakshmi +2 more
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Trichiasis among close relatives, central Ethiopia.
Ethiopian medical journal, 2005Active trachoma is known to cluster in close contacts, such as mother and child and between siblings, but we do not know the pattern for trichiasis. This cross-sectional study was conducted to determine if there is as much trichiasis as active trachoma within families having close contact.
Muluken, Melese +2 more
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