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Social Informatics

Overview of attention for book
Cover of 'Social Informatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 City of the People, for the People: Sensing Urban Dynamics via Social Media Interactions
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    Chapter 2 Partial and Overlapping Community Detection in Multiplex Social Networks
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    Chapter 3 Digitalized News on Non-communicable Diseases Coverage - What Are the Unhealthy Features of Media Content Induced for Chinese?
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    Chapter 4 Network Structure of e-Shops Profile as Factor of Its Success: Case of VK.com
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    Chapter 5 Studying Migrant Assimilation Through Facebook Interests
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    Chapter 6 Access-Control Prediction in Social Network Sites: Examining the Role of Homophily
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    Chapter 7 Mobile Applications as Tools of Alternative Communication, Diagnostics and Language Development for Children with Language Disorders
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    Chapter 8 Studying the Impact of Trained Staff on Evacuation Scenarios by Agent-Based Simulation
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    Chapter 9 Towards Understanding Communication Behavior Changes During Floods Using Cell Phone Data
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    Chapter 10 How Happy You Are: A Computational Study of Social Impact on Self-esteem
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    Chapter 11 Influence of Temporal Aspects and Age-Correlations on the Process of Opinion Formation Based on Polish Contact Survey
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    Chapter 12 Using Computer Vision to Study the Effects of BMI on Online Popularity and Weight-Based Homophily
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    Chapter 13 News Headline as a Form of News Text Compression
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    Chapter 14 Designing a Smart Tourism Mobile Application: User Modelling Through Social Networks’ User Implicit Data
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    Chapter 15 Monitoring and Counteraction to Malicious Influences in the Information Space of Social Networks
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    Chapter 16 Using Twitter Hashtags to Gauge Real-Time Changes in Public Opinion: An Examination of the 2016 US Presidential Election
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    Chapter 17 Text-Based Detection and Understanding of Changes in Mental Health
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    Chapter 18 Evaluating the Search and Rescue Strategies of Post Disaster
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    Chapter 19 Simulating Mutual Support Networks of Human and Artificial Agents
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    Chapter 20 Automatic Credibility Assessment of Popular Medical Articles Available Online
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    Chapter 21 Urban Dynamics Simulation Considering Street Activeness and Transport Policies
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    Chapter 22 Designing Healthcare Systems with an Emphasis on Relational Quality and Peace of Mind
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    Chapter 23 Success Factors of Electronic Petitions at Russian Public Initiative Project: The Role of Informativeness, Topic and Lexical Information
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    Chapter 24 With or Without Super Platforms? Analyzing Online Publishers’ Strategies in the Game of Traffic
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    Chapter 25 Location2Vec: Generating Distributed Representation of Location by Using Geo-tagged Microblog Posts
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    Chapter 26 Graph-Based Clustering Approach for Economic and Financial Event Detection Using News Analytics Data
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    Chapter 27 The Effect of Service Cost, Quality, and Location on the Length of Online Reviews
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    Chapter 28 Where Is the Memorable Travel Destinations?
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    Chapter 29 How Can We Utilize Self-service Technology Better?
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    Chapter 30 New/s/leak 2.0 – Multilingual Information Extraction and Visualization for Investigative Journalism
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    Chapter 31 False Information Detection on Social Media via a Hybrid Deep Model
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    Chapter 32 Information Diffusion Power of Political Party Twitter Accounts During Japan’s 2017 Election
Attention for Chapter 32: Information Diffusion Power of Political Party Twitter Accounts During Japan’s 2017 Election
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
15 tweeters

Readers on

mendeley
6 Mendeley
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Chapter title
Information Diffusion Power of Political Party Twitter Accounts During Japan’s 2017 Election
Chapter number 32
Book title
Social Informatics
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-01159-8_32
Book ISBNs
978-3-03-001158-1, 978-3-03-001159-8
Authors

Mitsuo Yoshida, Fujio Toriumi, Yoshida, Mitsuo, Toriumi, Fujio

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Professor > Associate Professor 1 17%
Researcher 1 17%
Student > Ph. D. Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 3 50%
Social Sciences 1 17%
Unknown 2 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 March 2019.
All research outputs
#2,295,832
of 15,051,638 outputs
Outputs from arXiv
#43,465
of 571,509 outputs
Outputs of similar age
#61,023
of 275,636 outputs
Outputs of similar age from arXiv
#1,996
of 24,795 outputs
Altmetric has tracked 15,051,638 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 571,509 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 92% 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 275,636 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 77% of its contemporaries.
We're also able to compare this research output to 24,795 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.