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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 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
Attention for Chapter 19: Electricity Demand and Population Dynamics Prediction from Mobile Phone Metadata
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Chapter title
Electricity Demand and Population Dynamics Prediction from Mobile Phone Metadata
Chapter number 19
Book title
Social, Cultural, and Behavioral Modeling
Published in
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-39931-7_19
Book ISBNs
978-3-31-939930-0, 978-3-31-939931-7
Authors

Brian Wheatman, Alejandro Noriega, Alex Pentland

Editors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Doctoral Student 1 14%
Lecturer 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Social Sciences 2 29%
Computer Science 1 14%
Environmental Science 1 14%
Decision Sciences 1 14%
Psychology 1 14%
Other 0 0%
Unknown 1 14%