From networks to human behavior

Albert László Barabási*

*Corresponding author for this work

Research output: Contribution to Book/Report typesConference contributionpeer-review

Abstract (may include machine translation)

Highly interconnected networks with amazingly complex topology describe systems as diverse as the World Wide Web, our cells, social systems or the economy. Recent studies indicate that these networks are the result of self-organizing processes governed by simple but generic laws, resulting in architectural features that makes them much more similar to each other than one would have expected by chance. I will discuss the amazing order characterizing our interconnected world and its implications to network robustness and spreading processes. Finally, most of these networks are driven by the temporal patterns characterizing human activity. I will use communication and web browsing data to show that there is deep order in the temporal domain of human dynamics, and discuss the different ways to understand and model the emerging patterns.

Original languageEnglish
Title of host publicationProceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009
Pages435
Number of pages1
DOIs
StatePublished - 2009
Externally publishedYes
Event32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 - Boston, MA, United States
Duration: 19 Jul 200923 Jul 2009

Publication series

NameProceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Conference

Conference32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009
Country/TerritoryUnited States
CityBoston, MA
Period19/07/0923/07/09

Keywords

  • Network science
  • World Wide Web

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