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Social Computing, Behavioral-Cultural Modeling, and Prediction

Overview of attention for book
Social Computing, Behavioral-Cultural Modeling, and Prediction
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Network-Based Model for Predicting Hashtag Breakouts in Twitter
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    Chapter 2 Temporal Causality of Social Support in an Online Community for Cancer Survivors
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    Chapter 3 Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook
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    Chapter 4 Social Computing for Impact Assessment of Social Change Projects
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    Chapter 5 Social Network Extraction and High Value Individual (HVI) Identification within Fused Intelligence Data
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    Chapter 6 Structural Properties of Ego Networks
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    Chapter 7 Conflict and Communication in Massively-Multiplayer Online Games
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    Chapter 8 The Impact of Human Behavioral Changes in 2014 West Africa Ebola Outbreak
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    Chapter 9 Social Complexity in the Virtual World
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    Chapter 10 A Model of Policy Formation Through Simulated Annealing: The Impact of Preference Alignment on Productivity and Satisfaction
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    Chapter 11 VIP: Incorporating Human Cognitive Biases in a Probabilistic Model of Retweeting
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    Chapter 12 The Influence of Collaboration on Research Quality
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    Chapter 13 Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment.
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    Chapter 14 Subjective versus Objective Questions: Perception of Question Subjectivity in Social Q&A
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    Chapter 15 Analysis of Music Tagging and Listening Patterns: Do Tags Really Function as Retrieval Aids?
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    Chapter 16 A Novel Mental State Model of Social Perception of Brand Crisis from an Entertainment Perspective
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    Chapter 17 Network-Based Group Account Classification
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    Chapter 18 Persistence in Voting Behavior: Stronghold Dynamics in Elections
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    Chapter 19 Efficient Learning of User Conformity on Review Score
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    Chapter 20 Are Tweets Biased by Audience? An Analysis from the View of Topic Diversity
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    Chapter 21 Advantages of Cooperative Behavior During Tsunami Evacuation
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    Chapter 22 Learning Automated Agents from Historical Game Data via Tensor Decomposition
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    Chapter 23 A Comparative Study of Symptom Clustering On Clinical and Social Media Data
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    Chapter 24 Women’s Right to Drive: Spillover of Brokers, Mobilization, and Cyberactivism
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    Chapter 25 A Mathematical Epidemiology Approach for Identifying Critical Issues in Social Media
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    Chapter 26 Analyzing Deviant Cyber Flash Mobs of ISIL on Twitter
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    Chapter 27 Social Behavior Bias and Knowledge Management Optimization
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    Chapter 28 Passive Crowd Sourcing for Technology Prediction
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    Chapter 29 How to Predict Social Trends by Mining User Sentiments
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    Chapter 30 ‘Linguistics-Lite’ Topic Extraction from Multilingual Social Media Data
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    Chapter 31 Mining Business Competitiveness from User Visitation Data
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    Chapter 32 Automatic Tonal Music Composition Using Functional Harmony
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    Chapter 33 Gaming the Social System: A Game Theoretic Examination of Social Influence in Risk Behaviour
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    Chapter 34 MECH: A Model for Predictive Analysis of Human Choices in Asymmetric Conflicts
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    Chapter 35 Using Topic Models to Measure Social Psychological Characteristics in Online Social Media
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    Chapter 36 Expanding Consumer Health Vocabularies by Learning Consumer Health Expressions from Online Health Social Media
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    Chapter 37 Identifying Correlates of Homicide Rates in Michoacán, Mexico
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    Chapter 38 A Preliminary Model of Media Influence on Attitude Diffusion
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    Chapter 39 A Study of Daily Sample Composition on Amazon Mechanical Turk
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    Chapter 40 The Controlled, Large Online Social Experimentation Platform (CLOSE)
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    Chapter 41 Early Prediction of Movie Success — What, Who, and When
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    Chapter 42 Risk Management in Asymmetric Conflict: Using Predictive Route Reconnaissance to Assess and Mitigate Threats
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    Chapter 43 Styles in the Fashion Social Network: An Analysis on Lookbook.nu
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    Chapter 44 Beyond Mere Following: Mention Network, a Better Alternative for Researching User Interaction and Behavior
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    Chapter 45 Agent-Based Models of Copycat Suicide
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    Chapter 46 Analyzing Second Screen Based Social Soundtrack of TV Viewers from Diverse Cultural Settings
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    Chapter 47 Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information
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    Chapter 48 Socio-Spatial Pareto Frontiers of Twitter Networks
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    Chapter 49 SOR: A Protocol for Requests Dissemination in Online Social Networks
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    Chapter 50 Resilience of Criminal Networks
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    Chapter 51 Modeling Group Dynamics for Personalized Group-Event Recommendation
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    Chapter 52 Determinants of User Ratings in Online Business Rating Services
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    Chapter 53 Social Support and Stress in Autism Blogging Community on Twitter
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    Chapter 54 Dynamics of a Repulsive Voter Model
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    Chapter 55 Ride Sharing: A Network Perspective
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    Chapter 56 Complex Interactions in Social and Event Network Analysis
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    Chapter 57 Quantifying Tactical Risk: A Framework for Statistical Classification Using MECH
  59. Altmetric Badge
    Chapter 58 An Analysis of MOOC Discussion Forum Interactions from the Most Active Users
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    Chapter 59 Inferring User Interests on Tumblr
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    Chapter 60 Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources
Attention for Chapter 60: Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
6 X users

Citations

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11 Dimensions

Readers on

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22 Mendeley
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Chapter title
Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources
Chapter number 60
Book title
Social Computing, Behavioral-Cultural Modeling, and Prediction
Published in
Lecture notes in computer science, March 2015
DOI 10.1007/978-3-319-16268-3_60
Pubmed ID
Book ISBNs
978-3-31-916267-6, 978-3-31-916268-3
Authors

Yoon, Hong-Jun, Tourassi, Georgia, Xu, Songhua, Hong-Jun Yoon, Georgia Tourassi, Songhua Xu

Abstract

Frequent relocation has been linked to health decline, particularly with respect to emotional and psychological wellbeing. In this paper we investigate whether there is an association between frequent relocation and lung cancer risk. For the initial investigation we used web crawling and tailored text mining to collect cancer and control subjects from online data sources. One data source includes online obituaries. The second data source includes augmented LinkedIn profiles. For each data source, the subjects' spatiotemporal history is reconstructed from the available information provided in the obituaries and from the education and work experience provided in the LinkedIn profiles. The study shows that lung cancer subjects have higher mobility frequency than the control group. This trend is consistent for both data sources.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Student > Master 3 14%
Student > Bachelor 3 14%
Other 2 9%
Librarian 1 5%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Computer Science 4 18%
Environmental Science 1 5%
Psychology 1 5%
Economics, Econometrics and Finance 1 5%
Other 2 9%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 April 2016.
All research outputs
#12,939,625
of 22,834,308 outputs
Outputs from Lecture notes in computer science
#3,776
of 8,127 outputs
Outputs of similar age
#116,267
of 256,551 outputs
Outputs of similar age from Lecture notes in computer science
#34
of 74 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% 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 256,551 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 53% of its contemporaries.
We're also able to compare this research output to 74 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 54% of its contemporaries.