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Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science

Overview of attention for book
Cover of 'Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Latent Space Generative Model for Bipartite Networks
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    Chapter 2 BiMLPA: Community Detection in Bipartite Networks by Multi-Label Propagation
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    Chapter 3 Connected Graphs with a Given Degree Sequence: Efficient Sampling, Correlations, Community Detection and Robustness
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    Chapter 4 An Allometric Scaling for the Number of Representative Nodes in Social Networks
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    Chapter 5 NeXLink: Node Embedding Framework for Cross-Network Linkages Across Social Networks
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    Chapter 6 Improved Algorithm for Neuronal Ensemble Inference by Monte Carlo Method
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    Chapter 7 Testing for Network and Spatial Autocorrelation
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    Chapter 8 Approximate Identification of the Optimal Epidemic Source in Complex Networks
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    Chapter 9 Maxwell’s Demon: Controlling Entropy via Discrete Ricci Flow over Networks
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    Chapter 10 Two Dimensional Opinion Dynamics of Real Opinion and Official Stance
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    Chapter 11 On the Fundamental Equation of User Dynamics and the Structure of Online Social Networks
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    Chapter 12 Beyond Social Fragmentation: Coexistence of Cultural Diversity and Structural Connectivity Is Possible with Social Constituent Diversity
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    Chapter 13 Complex Networks Antifragility under Sustained Edge Attack-Repair Mechanisms
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    Chapter 14 How to Collect Private Signals in Information Cascade: An Empirical Study
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    Chapter 15 Space Geometry Effect over the Internet as a Physical-Logical Interdependent Network
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    Chapter 16 The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection
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    Chapter 17 Effective Implementation of Energy Aware Polarization Diversity for IoT Networks Using Eigenvector Centrality
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    Chapter 18 Using Network Science to Quantify Economic Disruptions in Regional Input-Output Networks
Attention for Chapter 11: On the Fundamental Equation of User Dynamics and the Structure of Online Social Networks
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

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Chapter title
On the Fundamental Equation of User Dynamics and the Structure of Online Social Networks
Chapter number 11
Book title
Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science
Published in
arXiv, January 2020
DOI 10.1007/978-3-030-38965-9_11
Book ISBNs
978-3-03-038964-2, 978-3-03-038965-9
Authors

Masaki Aida, Chisa Takano, Masaki Ogura, Aida, Masaki, Takano, Chisa, Ogura, Masaki

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 80%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Engineering 3 60%
Medicine and Dentistry 1 20%
Computer Science 1 20%
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 29 January 2020.
All research outputs
#18,046,378
of 23,189,371 outputs
Outputs from arXiv
#446,901
of 954,780 outputs
Outputs of similar age
#316,449
of 456,660 outputs
Outputs of similar age from arXiv
#13,009
of 27,762 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 954,780 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 456,660 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,762 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.