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Understanding and Exploiting Information Spreading and Integrating Technologies

  • Petter Holme
  • Mikael Huss
Short Paper

Abstract

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.

Keywords

modeling and prediction computer-supported collaborative work health care 

Supplementary material

11390_2011_182_MOESM1_ESM.pdf (82 kb)
(PDF 81.8 kb)

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Copyright information

© Springer Science+Business Media, LLC & Science Press, China 2011

Authors and Affiliations

  1. 1.IceLab, Department of PhysicsUmeå UniversityUmeåSweden
  2. 2.Department of Energy ScienceSungkyunkwan UniversitySuwonKorea
  3. 3.Science of Life Laboratory StockholmKarolinska Institute Science ParkSolnaSweden
  4. 4.Department of Biochemistry and Biophysics, The Arrhenius Laboratories for Natural SciencesStockholm UniversityStockholmSweden

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