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Social, Cultural, and Behavioral Modeling

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Cover of 'Social, Cultural, and Behavioral Modeling'

Table of Contents

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    Book Overview
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    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
Overall attention for this book and its chapters
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Mentioned by

31 tweeters
2 Facebook pages

Readers on

78 Mendeley
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Social, Cultural, and Behavioral Modeling
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-93372-6
978-3-31-993371-9, 978-3-31-993372-6

Robert Thomson, Christopher Dancy, Ayaz Hyder, Halil Bisgin

Twitter Demographics

The data shown below were collected from the profiles of 31 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Student > Doctoral Student 11 14%
Student > Master 8 10%
Professor > Associate Professor 4 5%
Researcher 3 4%
Other 9 12%
Unknown 31 40%
Readers by discipline Count As %
Computer Science 23 29%
Social Sciences 4 5%
Psychology 4 5%
Engineering 2 3%
Mathematics 2 3%
Other 9 12%
Unknown 34 44%