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Computational Social Networks

Overview of attention for book
Cover of 'Computational Social Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Shortest Paths on Evolving Graphs
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    Chapter 2 Analysis of a Reciprocal Network Using Google+: Structural Properties and Evolution
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    Chapter 3 Comparison of Random Walk Based Techniques for Estimating Network Averages
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    Chapter 4 Integrating Networks of Equipotent Nodes
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    Chapter 5 Identify Influential Spreaders in Online Social Networks Based on Social Meta Path and PageRank
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    Chapter 6 Immunization Strategies Based on the Overlapping Nodes in Networks with Community Structure
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    Chapter 7 Improving Node Similarity for Discovering Community Structure in Complex Networks
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    Chapter 8 Rumor Propagation Detection System in Social Network Services
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    Chapter 9 Detecting Overlapping Community in Social Networks Based on Fuzzy Membership Degree
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    Chapter 10 Time-Critical Viral Marketing Strategy with the Competition on Online Social Networks
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    Chapter 11 Analysis of Viral Advertisement Re-Posting Activity in Social Media
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    Chapter 12 Structure and Sequence of Decision Making in Financial Online Social Networks
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    Chapter 13 Kirchhoff Centrality Measure for Collaboration Network
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    Chapter 14 Trust Evaluation Based Friend Recommendation in Proximity Based Mobile Social Network
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    Chapter 15 Integrating with Social Network to Enhance Recommender System Based-on Dempster-Shafer Theory
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    Chapter 16 Exploiting Social Relations to Recommend Scientific Publications
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    Chapter 17 Privacy-Preserving Ridesharing Recommendation in Geosocial Networks
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    Chapter 18 Complex Network Approach for Power Grids Vulnerability and Large Area Blackout
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    Chapter 19 A Hybrid Trust Management Framework for Vehicular Social Networks
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    Chapter 20 Distributed and Domain-Independent Identity Management for User Profiles in the SONIC Online Social Network Federation
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    Chapter 21 Proposal of a New Social Signal for Excluding Common Web Pages in Multiple Social Networking Services
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    Chapter 22 Measuring Similarity for Short Texts on Social Media
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    Chapter 23 Fi-Senti: A Language-Independent Model for Figurative Sentiment Analysis
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    Chapter 24 Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments
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    Chapter 25 Aspect-Based Sentiment Analysis Using Word Embedding Restricted Boltzmann Machines
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    Chapter 26 Lifelong Learning for Cross-Domain Vietnamese Sentiment Classification
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    Chapter 27 Determing Aspect Ratings and Aspect Weights from Textual Reviews by Using Neural Network with Paragraph Vector Model
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    Chapter 28 Stance Analysis for Debates on Traditional Chinese Medicine at Tianya Forum
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    Chapter 29 Architecting Crowd-Sourced Language Revitalisation Systems: Generalisation and Evaluation to Te Reo Māori and Vietnamese
  31. Altmetric Badge
    Chapter 30 Collective Online Clicking Pattern on BBS as Geometric Brown Motion
Attention for Chapter 3: Comparison of Random Walk Based Techniques for Estimating Network Averages
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
18 Mendeley
citeulike
1 CiteULike
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Chapter title
Comparison of Random Walk Based Techniques for Estimating Network Averages
Chapter number 3
Book title
Computational Social Networks
Published in
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-42345-6_3
Book ISBNs
978-3-31-942344-9, 978-3-31-942345-6
Authors

Konstantin Avrachenkov, Vivek S. Borkar, Arun Kadavankandy, Jithin K. Sreedharan

Editors

Hien T. Nguyen, Vaclav Snasel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 4 22%
Student > Bachelor 1 6%
Other 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 4 22%
Readers by discipline Count As %
Computer Science 6 33%
Engineering 3 17%
Social Sciences 2 11%
Physics and Astronomy 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 25 November 2016.
All research outputs
#4,191,735
of 22,881,154 outputs
Outputs from Lecture notes in computer science
#989
of 8,129 outputs
Outputs of similar age
#71,847
of 393,701 outputs
Outputs of similar age from Lecture notes in computer science
#147
of 581 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 393,701 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 581 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 68% of its contemporaries.