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Computational Social Network Analysis

Overview of attention for book
Cover of 'Computational Social Network Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Overview of Methods for Virtual Social Networks Analysis
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    Chapter 2 Discovering Sets of Key Players in Social Networks
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    Chapter 3 Toward Self-Organizing Search Systems
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    Chapter 4 DISSECT: Data-Intensive Socially Similar Evolving Community Tracker
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    Chapter 5 Clustering of Blog Sites Using Collective Wisdom
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    Chapter 6 Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming
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    Chapter 7 Information Flow in Systems of Interacting Agents as a Function of Local and Global Topological Features
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    Chapter 8 Network Evolution: Theory and Mechanisms
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    Chapter 9 Vmap-Layout, a Layout Algorithm for Drawing Scientograms
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    Chapter 10 Nature-Inspired Dissemination of Information in P2P Networks
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    Chapter 11 Analysis and Visualization of Relations in eLearning
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    Chapter 12 Interdisciplinary Matchmaking: Choosing Collaborators by Skill, Acquaintance and Trust
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    Chapter 13 Web Communities Defined by Web Page Content
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    Chapter 14 Extended Generalized Blockmodeling for Compound Communities and External Actors
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    Chapter 15 Analyzing Collaborations Through Content-Based Social Networks
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    Chapter 16 IA-Regional-Radio – Social Network for Radio Recommendation
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    Chapter 17 On the Use of Social Networks in Web Services: Application to the Discovery Stage
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    Chapter 18 Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

facebook
1 Facebook page
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Computational Social Network Analysis
Published by
ADS, December 2009
DOI 10.1007/978-1-84882-229-0
ISBNs
978-1-84882-229-0, 978-1-84882-228-3
Editors

Abraham, Ajith, Hassanien, Aboul-Ella, Sná¿el, Vaclav

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Master 3 27%
Student > Bachelor 2 18%
Lecturer > Senior Lecturer 1 9%
Student > Doctoral Student 1 9%
Other 1 9%
Readers by discipline Count As %
Business, Management and Accounting 6 55%
Computer Science 1 9%
Economics, Econometrics and Finance 1 9%
Social Sciences 1 9%
Engineering 1 9%
Other 0 0%
Unknown 1 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 December 2023.
All research outputs
#7,280,433
of 22,968,808 outputs
Outputs from ADS
#9,050
of 37,412 outputs
Outputs of similar age
#47,528
of 166,217 outputs
Outputs of similar age from ADS
#251
of 775 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 37,412 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 166,217 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 775 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.