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Social, Cultural, and Behavioral Modeling

Overview of attention for book
Cover of 'Social, Cultural, and Behavioral Modeling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Multi-scale Resolution of Cognitive Architectures: A Paradigm for Simulating Minds and Society
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    Chapter 2 Detecting Betrayers in Online Environments Using Active Indicators
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    Chapter 3 Forecasting Gang Homicides with Multi-level Multi-task Learning
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    Chapter 4 Feature Selection of Post-graduation Income of College Students in the United States
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    Chapter 5 From Language to Location Using Multiple Instance Neural Networks
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    Chapter 6 Detecting Agreement and Disagreement in Political Debates
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    Chapter 7 Tipping Points for Norm Change in Human Cultures
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    Chapter 8 Model Co-creation from a Modeler’s Perspective: Lessons Learned from the Collaboration Between Ethnographers and Modelers
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    Chapter 9 Multi-Agent Accumulator-Based Decision-Making Model of Incivility (MADI)
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    Chapter 10 Legislative Voting Dynamics in Ukraine
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    Chapter 11 Stop Words Are Not “Nothing”: German Modal Particles and Public Engagement in Social Media
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    Chapter 12 Beaten Up on Twitter? Exploring Fake News and Satirical Responses During the Black Panther Movie Event
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    Chapter 13 #metoo Through the Lens of Social Media
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    Chapter 14 An Agent-Based Model for False Belief Tasks: Belief Representation Systematic Approach (BRSA)
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    Chapter 15 Similar but Different: Exploiting Users’ Congruity for Recommendation Systems
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    Chapter 16 Mining Help Intent on Twitter During Disasters via Transfer Learning with Sparse Coding
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    Chapter 17 People2Vec: Learning Latent Representations of Users Using Their Social-Media Activities
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    Chapter 18 Finding Organizational Accounts Based on Structural and Behavioral Factors on Twitter
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    Chapter 19 A Study of How Opinion Sharing Affects Emergency Evacuation
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    Chapter 20 Fine-Scale Prediction of People’s Home Location Using Social Media Footprints
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    Chapter 21 Formal Organizations, Informal Networks, and Work Flow: An Agent-Based Model
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    Chapter 22 Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks
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    Chapter 23 Analyzing Social Bots and Their Coordination During Natural Disasters
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    Chapter 24 Sentiment Dynamics of The Chronicles of Narnia and Their Ranking
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    Chapter 25 Sign Prediction in Signed Social Networks Using Inverse Squared Metric
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    Chapter 26 Detecting and Characterizing Bot-Like Behavior on Twitter
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    Chapter 27 Initializing Agent-Based Models with Clustering Archetypes
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    Chapter 28 Predicting Alcoholism Recovery from Twitter
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    Chapter 29 The Portrayal of Quit Emotions: Content-Sensitive Analysis of Peer Interactions in an Online Community for Smoking Cessation
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    Chapter 30 Digilego: A Standardized Analytics-Driven Consumer-Oriented Connected Health Framework
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    Chapter 31 Pain Town, an Agent-Based Model of Opioid Use Trajectories in a Small Community
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    Chapter 32 Assessing Target Audiences of Digital Public Health Campaigns: A Computational Approach
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    Chapter 33 Evaluating Semantic Similarity for Adverse Drug Event Narratives
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    Chapter 34 Framing Shifts of the Ukraine Conflict in pro-Russian News Media
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    Chapter 35 Turning Narrative Descriptions of Individual Behavior into Network Visualization and Analysis: Example of Terrorist Group Dynamics
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    Chapter 36 Terrorist Network Monitoring with Identifying Code
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    Chapter 37 Implicit Terrorist Networks: A Two-Mode Social Network Analysis of Terrorism in India
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    Chapter 38 Complex Networks for Terrorist Target Prediction
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    Chapter 39 Searching for Unknown Unknowns: Unsupervised Bot Detection to Defeat an Adaptive Adversary
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    Chapter 40 Using Random String Classification to Filter and Annotate Automated Accounts
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    Chapter 41 Understanding Cyber Attack Behaviors with Sentiment Information on Social Media
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    Chapter 42 Social Cyber-Security
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    Chapter 43 A Computational Model of Cyber Situational Awareness
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    Chapter 44 Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology
Attention for Chapter 7: Tipping Points for Norm Change in Human Cultures
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
10 X users

Citations

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5 Dimensions

Readers on

mendeley
35 Mendeley
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Chapter title
Tipping Points for Norm Change in Human Cultures
Chapter number 7
Book title
Social, Cultural, and Behavioral Modeling
Published in
arXiv, July 2018
DOI 10.1007/978-3-319-93372-6_7
Book ISBNs
978-3-31-993371-9, 978-3-31-993372-6
Authors

Soham De, Dana S. Nau, Xinyue Pan, Michele J. Gelfand, De, Soham, Nau, Dana S., Pan, Xinyue, Gelfand, Michele J.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Researcher 6 17%
Student > Master 5 14%
Student > Ph. D. Student 5 14%
Student > Postgraduate 2 6%
Other 4 11%
Unknown 7 20%
Readers by discipline Count As %
Psychology 10 29%
Economics, Econometrics and Finance 4 11%
Social Sciences 3 9%
Physics and Astronomy 2 6%
Computer Science 1 3%
Other 3 9%
Unknown 12 34%
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 25 April 2018.
All research outputs
#7,071,186
of 24,589,002 outputs
Outputs from arXiv
#142,927
of 992,403 outputs
Outputs of similar age
#115,030
of 331,129 outputs
Outputs of similar age from arXiv
#3,598
of 20,836 outputs
Altmetric has tracked 24,589,002 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 992,403 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 85% 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 331,129 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 64% of its contemporaries.
We're also able to compare this research output to 20,836 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.