Change search
ReferencesLink to record
Permanent link

Direct link
Temporal Networks as a Modeling Framework
Umeå University, Faculty of Science and Technology, Department of Physics. (IceLab)ORCID iD: 0000-0003-2156-1096
Aalto University.
2013 (English)In: Temporal Networks / [ed] Petter Holme, Jari Saramäki, Berlin: Springer, 2013, 1-14 p.Chapter in book (Refereed)
Abstract [en]

Life, at many levels, is about large connected systems. In the biological sense, life is a consequence of macromolecules building cells and carrying information. More mundanely, our everyday life happens amid a network of friends, acquaintances and colleagues. To understand life, at every level, we need to zoom out from macromolecules or friendships and look at their global organization from a distance. Here, zooming out means discarding less relevant information in a systematic way. One approach to this, successful the last decade, is network modeling. This means that one focusses on the units of the system, be it proteins or persons, and how they are connected, and nothing else. Of course, this is a very strong simplification. Often, one has more information about a system that would enrich rather than obscure the picture. One such additional type of information regards when the interactions happen between the units. The essence of temporal network modeling is to zoom out by excluding all information except which pairs of units are in contact and when these contacts happen.

Place, publisher, year, edition, pages
Berlin: Springer, 2013. 1-14 p.
, Understanding Complex Systems, ISSN 1860-0832
National Category
Other Physics Topics
URN: urn:nbn:se:umu:diva-70265ISBN: 978-3-642-36460-0OAI: diva2:620676
Swedish Research Council, 2012-3651
Available from: 2013-05-10 Created: 2013-05-10 Last updated: 2013-09-06Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Holme, Petter
By organisation
Department of Physics
Other Physics Topics

Search outside of DiVA

GoogleGoogle Scholar
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

Total: 108 hits
ReferencesLink to record
Permanent link

Direct link