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Social, Cultural, and Behavioral Modeling

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Inferring Follower Preferences in the 2016 U.S. Presidential Primaries with Sparse Learning
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    Chapter 2 Detection and Analysis of 2016 US Presidential Election Related Rumors on Twitter
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    Chapter 3 How Emotional Support and Informational Support Relate to Linguistic Alignment
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    Chapter 4 Gender Politics in the 2016 U.S. Presidential Election: A Computer Vision Approach
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    Chapter 5 Agent-Based Modeling Approach in Understanding Behavior During Disasters: Measuring Response and Rescue in eBayanihan Disaster Management Platform
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    Chapter 6 An Agent-Based Model of Posting Behavior During Times of Societal Unrest
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    Chapter 7 ‘They All Look the Same to Me.’ An Agent Based Simulation of Out-Group Homogeneity
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    Chapter 8 Cultural Dimension Theory Based Simulations for US Army Personnel
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    Chapter 9 Socio-Cultural Cognitive Mapping
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    Chapter 10 A Cognitive Model of Feature Selection and Categorization for Autonomous Systems
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    Chapter 11 ENWalk: Learning Network Features for Spam Detection in Twitter
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    Chapter 12 Understanding Russian Information Operations Using Unsupervised Multilingual Topic Modeling
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    Chapter 13 Social Cyber Forensics Approach to Study Twitter’s and Blogs’ Influence on Propaganda Campaigns
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    Chapter 14 From Cyber Space Opinion Leaders and the Diffusion of Anti-vaccine Extremism to Physical Space Disease Outbreaks
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    Chapter 15 Event-Based Model Simulating the Change in DDoS Attack Trends After P/DIME Events
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    Chapter 16 Using a Real-Time Cybersecurity Exercise Case Study to Understand Temporal Characteristics of Cyberattacks
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    Chapter 17 Hybrid Modeling of Cyber Adversary Behavior
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    Chapter 18 Cyber-FIT: An Agent-Based Modelling Approach to Simulating Cyber Warfare
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    Chapter 19 Large-Scale Sleep Condition Analysis Using Selfies from Social Media
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    Chapter 20 Modeling the Co-evolution of Culture, Signs and Network Structure
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    Chapter 21 Simulating Population Behavior: Transportation Mode, Green Technology, and Climate Change
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    Chapter 22 A Parametric Study of Opinion Progression in a Divided Society
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    Chapter 23 Integrating Simulation and Signal Processing with Stochastic Social Kinetic Model
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    Chapter 24 Learning Network Dynamics from Tumblr®: A Search for Influential Users
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    Chapter 25 Modeling the Impact of Protraction on Refugee Identity
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    Chapter 26 Linking Twitter Sentiment and Event Data to Monitor Public Opinion of Geopolitical Developments and Trends
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    Chapter 27 Identifying Smoking from Smartphone Sensor Data and Multivariate Hidden Markov Models
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    Chapter 28 Is Word Adoption a Grassroots Process? An Analysis of Reddit Communities
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    Chapter 29 Understanding Discourse Acts: Political Campaign Messages Classification on Facebook and Twitter
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    Chapter 30 Improving the Efficiency of Allocating Crowd Donations with Agent-Based Simulation Model
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    Chapter 31 Temporal Analysis of Influence to Predict Users’ Adoption in Online Social Networks
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    Chapter 32 Ideology Detection for Twitter Users via Link Analysis
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    Chapter 33 Spread of Pathogens in the Patient Transfer Network of US Hospitals
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    Chapter 34 On Predicting Geolocation of Tweets Using Convolutional Neural Networks
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    Chapter 35 Stigmergy-Based Modeling to Discover Urban Activity Patterns from Positioning Data
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    Chapter 36 Prospective Detection of Foodborne Illness Outbreaks Using Machine Learning Approaches
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    Chapter 37 Mitigating the Risks of Financial Exclusion: Predicting Illiteracy with Standard Mobile Phone Logs
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    Chapter 38 Multi-layer Network Composition Under a Unified Dynamical Process
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    Chapter 39 Extracting Information from Negative Interactions in Multiplex Networks Using Mutual Information
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    Chapter 40 A Blockchain-Enabled Participatory Decision Support Framework
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    Chapter 41 Hyperparameter Optimization for Predicting the Tolerance Level of Religious Discourse
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    Chapter 42 APART: Automatic Political Actor Recommendation in Real-time
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    Chapter 43 Measuring Perceived Causal Relationships Between Narrative Events with a Crowdsourcing Application on Mturk
Overall attention for this book and its chapters
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
29 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Social, Cultural, and Behavioral Modeling
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-60240-0
ISBNs
978-3-31-960239-4, 978-3-31-960240-0
Editors

Dongwon Lee, Yu-Ru Lin, Nathaniel Osgood, Robert Thomson

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Master 4 21%
Researcher 2 11%
Student > Bachelor 1 5%
Lecturer > Senior Lecturer 1 5%
Other 2 11%
Unknown 5 26%
Readers by discipline Count As %
Computer Science 7 37%
Engineering 2 11%
Business, Management and Accounting 1 5%
Psychology 1 5%
Economics, Econometrics and Finance 1 5%
Other 2 11%
Unknown 5 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 05 April 2020.
All research outputs
#2,337,768
of 25,186,033 outputs
Outputs from Lecture notes in computer science
#408
of 8,153 outputs
Outputs of similar age
#46,058
of 432,762 outputs
Outputs of similar age from Lecture notes in computer science
#14
of 151 outputs
Altmetric has tracked 25,186,033 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 95% 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 432,762 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 89% of its contemporaries.
We're also able to compare this research output to 151 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.