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Social Computing, Behavioral-Cultural Modeling and Prediction

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Human Development Dynamics: An Agent Based Simulation of Adaptive Heterogeneous Games and Social Systems
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    Chapter 2 Mobility Patterns and User Dynamics in Racially Segregated Geographies of US Cities
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    Chapter 3 Incorporating Interpretation into Risky Decision-Making
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    Chapter 4 Labeling Actors in Social Networks Using a Heterogeneous Graph Kernel
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    Chapter 5 Sample Size Determination to Detect Cusp Catastrophe in Stochastic Cusp Catastrophe Model: A Monte-Carlo Simulation-Based Approach
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    Chapter 6 Who Will Follow a New Topic Tomorrow?
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    Chapter 7 Identifying Emergent Thought Leaders
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    Chapter 8 System-Subsystem Dependency Network for Integrating Multicomponent Data and Application to Health Sciences
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    Chapter 9 How Individuals Weigh Their Previous Estimates to Make a New Estimate in the Presence or Absence of Social Influence
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    Chapter 10 Two 1%s Don’t Make a Whole: Comparing Simultaneous Samples from Twitter’s Streaming API
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    Chapter 11 Estimating Social Network Structure and Propagation Dynamics for an Infectious Disease
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    Chapter 12 Predicting Social Ties in Massively Multiplayer Online Games
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    Chapter 13 Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media
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    Chapter 14 Quantifying Political Legitimacy from Twitter
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    Chapter 15 Path Following in Social Web Search
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    Chapter 16 Multi-objective Optimization for Multi-level Networks
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    Chapter 17 Cover Your Cough! Quantifying the Benefits of a Localized Healthy Behavior Intervention on Flu Epidemics in Washington DC
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    Chapter 18 Integrating Epidemiological Modeling and Surveillance Data Feeds: A Kalman Filter Based Approach
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    Chapter 19 Identifying Users with Opposing Opinions in Twitter Debates
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    Chapter 20 A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor
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    Chapter 21 Segmenting Large-Scale Cyber Attacks for Online Behavior Model Generation
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    Chapter 22 Emergent Consequences: Unexpected Behaviors in a Simple Model to Support Innovation Adoption, Planning, and Evaluation
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    Chapter 23 Deriving Population Assessment through Opinion Polls, Text Analytics, and Agent-Based Modeling
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    Chapter 24 mFingerprint: Privacy-Preserving User Modeling with Multimodal Mobile Device Footprints
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    Chapter 25 Using Trust Model for Detecting Malicious Activities in Twitter
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    Chapter 26 Predicting Guild Membership in Massively Multiplayer Online Games
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    Chapter 27 Emoticon and Text Production in First and Second Languages in Informal Text Communication
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    Chapter 28 The Needs of Metaphor
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    Chapter 29 Behavior in the Time of Cholera: Evidence from the 2008-2009 Cholera Outbreak in Zimbabwe
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    Chapter 30 Mutual Information Technique in Assessing Crosstalk through a Random-Pairing Bootstrap Method
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    Chapter 31 New Methods of Mapping
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    Chapter 32 A New Paradigm for the Study of Corruption in Different Cultures
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    Chapter 33 A Study of Mobile Information Exploration with Multi-touch Interactions
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    Chapter 34 Dyadic Attribution: A Theoretical Model for Interpreting Online Words and Actions
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    Chapter 35 Modeling Impact of Social Stratification on the Basis of Time Allocation Heuristics in Society
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    Chapter 36 The Social Aspect of Voting for Useful Reviews
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    Chapter 37 Simulating International Energy Security
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    Chapter 38 Team PsychoSocial Assessment via Discourse Analysis: Power and Comfort/Routine
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    Chapter 39 Social TV and the Social Soundtrack: Significance of Second Screen Interaction during Television Viewing
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    Chapter 40 Social Network Structures of Primary Health Care Teams Associated with Health Outcomes in Alcohol Drinkers with Diabetes
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    Chapter 41 Emerging Dynamics in Crowdfunding Campaigns
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    Chapter 42 Incorporating Social Theories in Computational Behavioral Models
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    Chapter 43 Contexts of Diffusion: Adoption of Research Synthesis in Social Work and Women’s Studies
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    Chapter 44 Temporal Dynamics of Scale-Free Networks
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    Chapter 45 Big Data-Driven Marketing: How Machine Learning Outperforms Marketers’ Gut-Feeling
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    Chapter 46 “Frogs in a Pot”: An Agent-Based Model of Well-Being versus Prosperity
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    Chapter 47 Frabjous: A Declarative Domain-Specific Language for Agent-Based Modeling
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    Chapter 48 Social Maintenance and Psychological Support Using Virtual Worlds
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    Chapter 49 Civil Unrest Prediction: A Tumblr-Based Exploration
  51. Altmetric Badge
    Chapter 50 Studying the Evolution of Online Collective Action: Saudi Arabian Women’s ‘Oct26Driving’ Twitter Campaign
  52. Altmetric Badge
    Chapter 51 A Comparative Study of Smoking Cessation Programs on Web Forum and Facebook
Attention for Chapter 13: Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
28 Mendeley
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Chapter title
Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media
Chapter number 13
Book title
Social Computing, Behavioral-Cultural Modeling and Prediction
Published in
Lecture notes in computer science, April 2014
DOI 10.1007/978-3-319-05579-4_13
Book ISBNs
978-3-31-905578-7, 978-3-31-905579-4
Authors

Wenhui Liao, Sameena Shah, Masoud Makrehchi

Twitter Demographics

The data shown below were collected from the profiles of 2 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 36%
Student > Master 8 29%
Student > Ph. D. Student 2 7%
Student > Postgraduate 2 7%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 4 14%
Readers by discipline Count As %
Computer Science 10 36%
Business, Management and Accounting 3 11%
Engineering 2 7%
Linguistics 1 4%
Economics, Econometrics and Finance 1 4%
Other 3 11%
Unknown 8 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 April 2014.
All research outputs
#1,952,347
of 4,708,833 outputs
Outputs from Lecture notes in computer science
#417
of 1,197 outputs
Outputs of similar age
#39,994
of 111,306 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 19 outputs
Altmetric has tracked 4,708,833 research outputs across all sources so far. This one has received more attention than most of these and is in the 56th percentile.
So far Altmetric has tracked 1,197 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 63% 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 111,306 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 61% of its contemporaries.
We're also able to compare this research output to 19 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 63% of its contemporaries.