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Complex Networks

Overview of attention for book
Complex Networks
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Complex Networks
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    Chapter 2 A Growing Model for Scale–Free Networks Embedded in Hyperbolic Metric Spaces
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    Chapter 3 The Robustness of Balanced Boolean Networks
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    Chapter 4 Structural Evolution in Knowledge Transfer Network: An Agent-Based Model
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    Chapter 5 Using Network Science to Define a Dynamic Communication Topology for Particle Swarm Optimizers
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    Chapter 6 Weak Ties in Complex Wireless Communication Networks
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    Chapter 7 Vulnerability-Aware Architecture for a Tactical, Mobile Cloud
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    Chapter 8 Migration, Communication and Social Networks – An Agent-Based Social Simulation
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    Chapter 9 A Comparison of Methods for Community Detection in Large Scale Networks
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    Chapter 10 Stable Community Cores in Complex Networks
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    Chapter 11 An Empirical Study of the Relation Between Community Structure and Transitivity
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    Chapter 12 Detecting Overlapping Communities in Complex Networks Using Swarm Intelligence for Multi-threaded Label Propagation
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    Chapter 13 A Genetic Algorithm to Partition Weighted Planar Graphs in Which the Weight of Nodes Follows a Power Law
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    Chapter 14 Measuring a Category-Based Blogosphere
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    Chapter 15 Ripple Effects: Small-Scale Investigations into the Sustainability of Ocean Science Education Networks
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    Chapter 16 Socio-dynamic Discrete Choice on Networks in Space: Impact of Initial Conditions, Network Size and Connectivity on Emergent Outcomes in a Simple Nested Logit Model
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    Chapter 17 Tipping Points of Diehards in Social Consensus on Large Random Networks
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    Chapter 18 Modeling Annual Supreme Court Influence: The Role of Citation Practices and Judicial Tenure in Determining Precedent Network Growth
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    Chapter 19 The Effect of Citations to Collaboration Networks
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    Chapter 20 Network Analysis of Software Repositories: Identifying Subject Matter Experts
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    Chapter 21 The Social Structure of Organ Transplantation in the United States
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    Chapter 22 A Novel Framework for Complex Networks and Chronic Diseases
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    Chapter 23 Centrality and Network Analysis in a Natural Perturbed Ecosystem
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    Chapter 24 The Explanatory Power of Relations and an Application to an Economic Network
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    Chapter 25 Mapping Emerging News Networks: A Case Study of the San Francisco Bay Area
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    Chapter 26 Identifying Critical Road Network Areas with Node Centralities Interference and Robustness
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    Chapter 27 Software Collaboration Networks
Attention for Chapter 18: Modeling Annual Supreme Court Influence: The Role of Citation Practices and Judicial Tenure in Determining Precedent Network Growth
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Citations

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Chapter title
Modeling Annual Supreme Court Influence: The Role of Citation Practices and Judicial Tenure in Determining Precedent Network Growth
Chapter number 18
Book title
Complex Networks
Published in
Studies in Computational Intelligence, February 2016
DOI 10.1007/978-3-642-30287-9_18
Book ISBNs
978-3-64-230286-2, 978-3-64-230287-9
Authors

Ryan Whalen

Editors

Ronaldo Menezes, Alexandre Evsukoff, Marta C. González

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 38%
Student > Master 2 25%
Student > Ph. D. Student 1 13%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 2 25%
Economics, Econometrics and Finance 1 13%
Physics and Astronomy 1 13%
Medicine and Dentistry 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 September 2013.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#303,353
of 408,661 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them