↓ Skip to main content

Social Computing and Behavioral Modeling

Overview of attention for book
Cover of 'Social Computing and Behavioral Modeling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Reality Mining of Mobile Communications: Toward A New Deal On Data
  3. Altmetric Badge
    Chapter 2 Lifting Elephants: Twitter and Blogging in Global Perspective
  4. Altmetric Badge
    Chapter 3 Rule Evaluation Model as Behavioral Modeling of Domain Experts
  5. Altmetric Badge
    Chapter 4 Trust and Privacy in Distributed Work Groups
  6. Altmetric Badge
    Chapter 5 Cultural Consensus Theory: Aggregating Expert Judgments about Ties in a Social Network
  7. Altmetric Badge
    Chapter 6 Dynamic Networks: Rapid Assessment of Changing Scenarios
  8. Altmetric Badge
    Chapter 7 Modeling Populations of Interest in Order to Simulate Cultural Response to Influence Activities
  9. Altmetric Badge
    Chapter 8 The Use of Agent-based Modeling in Projecting Risk Factors into the Future
  10. Altmetric Badge
    Chapter 9 Development of an Integrated Sociological Modeling Framework (ISMF) to Model Social Systems
  11. Altmetric Badge
    Chapter 10 The Coherence Model of Preference and Belief Formation
  12. Altmetric Badge
    Chapter 11 Cognitive Modeling of Household Economic Behaviors during Extreme Events
  13. Altmetric Badge
    Chapter 12 Collaborating with Multiple Distributed Perspectives and Memories
  14. Altmetric Badge
    Chapter 13 When is social computation better than the sum of its parts?
  15. Altmetric Badge
    Chapter 14 The Dilemma of Social Order in Iraq
  16. Altmetric Badge
    Chapter 15 A Socio-Technical Approach to Understanding Perceptions of Trustworthiness in Virtual Organizations
  17. Altmetric Badge
    Chapter 16 Prior-free cost sharing design: group strategyproofness and the worst absolute loss
  18. Altmetric Badge
    Chapter 17 Monitoring Web Resources Discovery by Reusing Classification Knowledge
  19. Altmetric Badge
    Chapter 18 Finding Influential Nodes in a Social Network from Information Diffusion Data
  20. Altmetric Badge
    Chapter 19 Meta-modeling the Cultural Behavior Using Timed Influence Nets
  21. Altmetric Badge
    Chapter 20 A Validation Process for Predicting Stratagemical Behavior Patterns of Powerful Leaders in Conflict
  22. Altmetric Badge
    Chapter 21 Control of Opinions in an Ideologically Homogeneous Population
  23. Altmetric Badge
    Chapter 22 Estimating Cyclic and Geospatial Effects of Alcohol Usage in a Social Network Directed Graph Model
  24. Altmetric Badge
    Chapter 23 HBML: A Language for Quantitative Behavioral Modeling in the Human Terrain
  25. Altmetric Badge
    Chapter 24 VIM: A Platform for Violent Intent Modeling
  26. Altmetric Badge
    Chapter 25 Punishment, Rational Expectations, and Relative Payoffs in a Networked Prisoners Dilemma
  27. Altmetric Badge
    Chapter 26 A Network-Based Approach to Understanding and Predicting Diseases
  28. Altmetric Badge
    Chapter 27 Status and Ethnicity in Vietnam: Evidence from Experimental Games
  29. Altmetric Badge
    Chapter 28 Behavior Grouping based on Trajectory Mining
  30. Altmetric Badge
    Chapter 29 Learning to Recommend Tags for On-line Photos
  31. Altmetric Badge
    Chapter 30 A Social Network Model of Alcohol Behaviors
  32. Altmetric Badge
    Chapter 31 Using Participatory Learning to Model Human Behavior
Overall attention for this book and its chapters
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
92 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Social Computing and Behavioral Modeling
Published by
ADS, January 2009
DOI 10.1007/978-1-4419-0056-2
ISBNs
978-1-4419-0055-5, 978-1-4419-0056-2, 978-1-4419-5491-6
Editors

Michael J. Young, John Salerno, Huan Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Turkey 1 1%
Malaysia 1 1%
Czechia 1 1%
Israel 1 1%
Japan 1 1%
Algeria 1 1%
Unknown 82 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 28%
Student > Master 17 18%
Researcher 14 15%
Student > Doctoral Student 10 11%
Student > Bachelor 8 9%
Other 16 17%
Unknown 1 1%
Readers by discipline Count As %
Computer Science 30 33%
Social Sciences 23 25%
Business, Management and Accounting 9 10%
Economics, Econometrics and Finance 5 5%
Engineering 4 4%
Other 18 20%
Unknown 3 3%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 01 March 2024.
All research outputs
#1,614,533
of 23,720,526 outputs
Outputs from ADS
#822
of 38,185 outputs
Outputs of similar age
#6,747
of 173,359 outputs
Outputs of similar age from ADS
#29
of 914 outputs
Altmetric has tracked 23,720,526 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38,185 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 97% 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 173,359 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 914 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 96% of its contemporaries.