Foundations and Trends® in Web Science > Vol 5 > Issue 1-2

Collective Attention on the Web

Christian Bauckhage, University of Bonn and Fraunhofer IAIS, Germany, christian.bauckhage@iais.fraunhofer.de Kristian Kersting, TU Dortmund University, Germany, kristian.kersting@cs.tu-dortmund.de
 
Suggested Citation
Christian Bauckhage and Kristian Kersting (2016), "Collective Attention on the Web", Foundations and TrendsĀ® in Web Science: Vol. 5: No. 1-2, pp 1-136. http://dx.doi.org/10.1561/1800000024

Published: 30 Nov 2016
© 2016 C. Bauckhage and K. Kersting
 
Subjects
Collective intelligence,  Data Mining,  Emergent behavior
 

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In this article:
1. Introduction
2. Technical Preliminaries
3. Attention Dynamics and Growth Processes
4. Attention Dynamics and Diffusion Processes
5. Attention Dynamics and Network Spreading Processes
6. Attention Dynamics and Epidemic Processes
7. Conclusion
Acknowledgements
References

Abstract

Understanding the dynamics of collective human attention has been called a key scientific challenge for the information age. Tackling this challenge, this monograph explores the dynamics of collective attention related to Internet phenomena such as Internet memes, viral videos, or social media platforms and Web-based businesses. To this end, we analyze time series data that directly or indirectly represent how the interest of large populations of Web users in content or services develops over time. Regardless of regional or cultural contexts, we generally observe strong regularities in time series that reflect attention dynamics and we discuss mathematical models that provide plausible explanations as to what drives the apparently dominant dynamics of rapid initial growth and prolonged decline.

DOI:10.1561/1800000024
ISBN: 978-1-68083-204-4
154 pp. $99.00
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ISBN: 978-1-68083-205-1
154 pp. $260.00
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Table of contents:
1. Introduction
2. Technical Preliminaries
3. Attention Dynamics and Growth Processes
4. Attention Dynamics and Diffusion Processes
5. Attention Dynamics and Network Spreading Processes
6. Attention Dynamics and Epidemic Processes
7. Conclusion
Acknowledgements
References

Experiential Knowledge Mining

Understanding the dynamics of collective human attention has been called a key scientific challenge for the information age. Tackling this challenge, Collective Attention on the Web explores the dynamics of collective attention related to Internet phenomena such as Internet memes, viral videos, or social media platforms and Web-based businesses. To this end, it analyzes time series data that directly or indirectly represent how the interest of large populations of Web users in content or services develops over time. Regardless of regional or cultural contexts, it generally observes strong regularities in time series that reflect attention dynamics and it discusses mathematical models that provide plausible explanations as to what drives the apparently dominant dynamics of rapid initial growth and prolonged decline.

 
WEB-024