Change search
ReferencesLink to record
Permanent link

Direct link
Understanding and Exploiting Information Spreading and Integrating Technologies
Umeå University, Faculty of Science and Technology, Department of Physics. (IceLab)ORCID iD: 0000-0003-2156-1096
Science of Life Laboratory.
2011 (English)In: Journal of Computer Science and Technology, ISSN 1000-9000, E-ISSN 1860-4749, Vol. 26, no 5, 829-836 p.Article in journal (Refereed) Published
Abstract [en]

Our daily life leaves an increasing amount of digital traces, footprints that are improving our lives. Data-mining tools, like recommender systems, convert these traces to information for aiding decisions in an ever-increasing number of areas in our lives. The feedback loop from what we do, to the information this produces, to decisions what to do next, will likely be an increasingly important factor in human behavior on all levels from individuals to societies. In this essay, we review some effects of this feedback and discuss how to understand and exploit them beyond mapping them on more well-understood phenomena. We take examples from models of spreading phenomena in social media to argue that analogies can be deceptive, instead we need to fresh approaches to the new types of data, something we exemplify with promising applications in medicine.

Place, publisher, year, edition, pages
Springer , 2011. Vol. 26, no 5, 829-836 p.
Keyword [en]
modeling and prediction, computer-supported collaborative work, health care
National Category
Computer Science
URN: urn:nbn:se:umu:diva-46489DOI: 10.1007/s11390-011-0182-3OAI: diva2:438565
Swedish Research Council, 621-2009-3536
Available from: 2011-09-07 Created: 2011-09-03 Last updated: 2013-09-06Bibliographically approved

Open Access in DiVA

fulltext(1917 kB)328 downloads
File information
File name FULLTEXT02.pdfFile size 1917 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Holme, Petter
By organisation
Department of Physics
In the same journal
Journal of Computer Science and Technology
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 328 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 40 hits
ReferencesLink to record
Permanent link

Direct link