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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 Improving Donation Distribution for Crowdfunding: An Agent-Based Model
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    Chapter 2 Formality Identification in Social Media Dialogue
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    Chapter 3 Modeling and Simulation of Sectarian Tensions in Split Communities
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    Chapter 4 The Role of Reciprocity and Directionality of Friendship Ties in Promoting Behavioral Change
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    Chapter 5 Exploratory Models of Trust with Empirically-Inferred Decision Trees
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    Chapter 6 Predicting Privacy Attitudes Using Phone Metadata
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    Chapter 7 A Preliminary Study of Mobility Patterns in Urban Subway
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    Chapter 8 An Agent-Based Simulation of Heterogeneous Games and Social Systems in Politics, Fertility and Economic Development
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    Chapter 9 On Discrimination Discovery Using Causal Networks
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    Chapter 10 Social Position Predicting Physical Activity Level in Youth: An Application of Hidden Markov Modeling on Network Statistics
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    Chapter 11 Incorporating Disgust as Disease-Avoidant Behavior in an Agent-Based Epidemic Model
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    Chapter 12 Modeling Social Capital as Dynamic Networks to Promote Access to Oral Healthcare
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    Chapter 13 The Implications for Network Structure of Dynamic Feedback Between Influence and Selection
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    Chapter 14 Leveraging Network Dynamics for Improved Link Prediction
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    Chapter 15 Dynamic Directed Influence Networks: A Study of Campaigns on Twitter
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    Chapter 16 Link Prediction via Multi-hashing Framework
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    Chapter 17 TeleLink: Link Prediction in Social Network Based on Multiplex Cohesive Structures
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    Chapter 18 Game-Specific and Player-Specific Knowledge Combine to Drive Transfer of Learning Between Games of Strategic Interaction
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    Chapter 19 Electricity Demand and Population Dynamics Prediction from Mobile Phone Metadata
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    Chapter 20 Detecting Communities by Sentiment Analysis of Controversial Topics
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    Chapter 21 Event Detection from Blogs Using Large Scale Analysis of Metaphorical Usage
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    Chapter 22 “With Your Help... We Begin to Heal”: Social Media Expressions of Gratitude in the Aftermath of Disaster
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    Chapter 23 Spot the Hotspot: Wi-Fi Hotspot Classification from Internet Traffic
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    Chapter 24 I2Rec: An Iterative and Interactive Recommendation System for Event-Based Social Networks
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    Chapter 25 Modeling Influenza by Modulating Flu Awareness
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    Chapter 26 An Agent-Based Framework for Active Multi-level Modeling of Organizations
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    Chapter 27 Identifying Political “hot” Spots Through Massive Media Data Analysis
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    Chapter 28 Contextual Sentiment Analysis
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    Chapter 29 Validating the Voice of the Crowd During Disasters
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    Chapter 30 Toward a Bayesian Network Model of Events in International Relations
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    Chapter 31 Saint or Sinner? Language-Action Cues for Modeling Deception Using Support Vector Machines
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    Chapter 32 The Geography of Conflict Diamonds: The Case of Sierra Leone
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    Chapter 33 From Tweets to Intelligence: Understanding the Islamic Jihad Supporting Community on Twitter
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    Chapter 34 Be Alert and Stay the Course: An Agent-Based Model Exploring Maritime Piracy Countermeasures
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    Chapter 35 How People Talk About Armed Conflicts
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    Chapter 36 Sensing Distress Following a Terrorist Event
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    Chapter 37 Conversational Non-Player Characters for Virtual Training
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    Chapter 38 Holy Mackerel! an Exploratory Agent-Based Model of Illicit Fishing and Forced Labor
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
11 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
133 Mendeley
citeulike
1 CiteULike
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Title
Social, Cultural, and Behavioral Modeling
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-39931-7
ISBNs
978-3-31-939930-0, 978-3-31-939931-7
Authors

Abdullah Almaatouq, Laura Radaelli, Alex Pentland, Erez Shmueli

Editors

Kevin S. Xu, David Reitter, Dongwon Lee, Nathaniel Osgood

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Russia 1 <1%
Sri Lanka 1 <1%
Unknown 130 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 23%
Student > Master 23 17%
Researcher 7 5%
Student > Doctoral Student 6 5%
Student > Bachelor 6 5%
Other 13 10%
Unknown 48 36%
Readers by discipline Count As %
Computer Science 38 29%
Social Sciences 14 11%
Psychology 6 5%
Engineering 5 4%
Economics, Econometrics and Finance 4 3%
Other 13 10%
Unknown 53 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 March 2024.
All research outputs
#6,298,729
of 25,193,883 outputs
Outputs from Lecture notes in computer science
#1,783
of 8,152 outputs
Outputs of similar age
#92,536
of 405,866 outputs
Outputs of similar age from Lecture notes in computer science
#217
of 581 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,152 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 well, scoring higher than 77% 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 405,866 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 581 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.