Centrality

Results: 731



#Item
51Microsoft Word - CEO_Network_Centrality_and_Merger_Performance_20140922_color

Microsoft Word - CEO_Network_Centrality_and_Merger_Performance_20140922_color

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Source URL: www.boardoptions.com

Language: English - Date: 2014-10-07 13:39:07
52Microsoft Word - Borgatti and Halgin Affiliations 2a.docx

Microsoft Word - Borgatti and Halgin Affiliations 2a.docx

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Source URL: www.danhalgin.com

Language: English - Date: 2010-08-28 13:57:58
53Ingo Scholtes, Nicolas Wider, Antonios Garas: Higher-Order Aggregate Networks in the Analysis of Temporal Networks Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities

Ingo Scholtes, Nicolas Wider, Antonios Garas: Higher-Order Aggregate Networks in the Analysis of Temporal Networks Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities

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Source URL: www.sg.ethz.ch

Language: English - Date: 2015-08-27 04:09:04
54Influence Propagation in Adversarial Setting: How to Defeat Competition with Least Amount of Investment Shahrzad Shirazipourazad, Brian Bogard, Harsh Vachhani, Arunabha Sen School of Computing, Informatics and Decision S

Influence Propagation in Adversarial Setting: How to Defeat Competition with Least Amount of Investment Shahrzad Shirazipourazad, Brian Bogard, Harsh Vachhani, Arunabha Sen School of Computing, Informatics and Decision S

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Source URL: web.cs.du.edu

Language: English - Date: 2012-09-21 17:55:11
55Ephemeral Networks with Random Availability of Links: The case of fast networksI Eleni C. Akridaa,∗, Leszek Gąsienieca , George B. Mertziosb , Paul G. Spirakisa,c,d a  Department of Computer Science, University of Liv

Ephemeral Networks with Random Availability of Links: The case of fast networksI Eleni C. Akridaa,∗, Leszek Gąsienieca , George B. Mertziosb , Paul G. Spirakisa,c,d a Department of Computer Science, University of Liv

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Source URL: community.dur.ac.uk

Language: English - Date: 2015-10-21 12:18:19
56High-Productivity and HighPerformance Analysis of Filtered Semantic Graphs Aydın	
  Buluç	
  	
   Lawrence Berkeley National Laboratory February 20, 2014

High-Productivity and HighPerformance Analysis of Filtered Semantic Graphs Aydın  Buluç     Lawrence Berkeley National Laboratory February 20, 2014

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Source URL: gauss.cs.ucsb.edu

Language: English - Date: 2014-02-20 18:35:16
57Abstract of “Sampling-based Randomized Algorithms for Big Data Analytics” by Matteo Riondato, Ph.D., Brown University, MayAnalyzing huge datasets becomes prohibitively slow when the dataset does not fit in mai

Abstract of “Sampling-based Randomized Algorithms for Big Data Analytics” by Matteo Riondato, Ph.D., Brown University, MayAnalyzing huge datasets becomes prohibitively slow when the dataset does not fit in mai

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Source URL: matteo.rionda.to

Language: English - Date: 2016-07-30 12:22:15
58Inference, Models and Simulation for Complex Systems Lecture 14 Prof. Aaron Clauset 1

Inference, Models and Simulation for Complex Systems Lecture 14 Prof. Aaron Clauset 1

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Source URL: tuvalu.santafe.edu

Language: English - Date: 2011-10-25 11:19:24
59Ranking nodes according to their path-complexity Francesco Caravelli arXiv:1410.2638v2 [cond-mat.stat-mech] 15 FebDepartment of Computer Science,

Ranking nodes according to their path-complexity Francesco Caravelli arXiv:1410.2638v2 [cond-mat.stat-mech] 15 FebDepartment of Computer Science,

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Source URL: arxiv.org

Language: English - Date: 2015-02-16 20:34:27
60Distributing antidote using PageRank vectors Fan Chung∗ University of California, San Diego Paul Horn Emory University

Distributing antidote using PageRank vectors Fan Chung∗ University of California, San Diego Paul Horn Emory University

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Source URL: web.cs.du.edu

Language: English - Date: 2010-11-16 10:57:23