Modeling spatial embedded social networks


Date

2011-03

Publication Type

Working Paper

ETH Bibliography

yes

Citations

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Data

Abstract

In this paper dierent models for social networks are reviewed. Two models which allow for spatial embedding social networks in physical space are chosen and applied. Both of the models are based on spatial interaction, where the probability for a tie between people decreases with increasing distance. The models are applied based on empirical data of egocentric social networks collected in Zurich, Switzerland. The analysis of the empirical data shows, that there is a strong exponential decrease of probability to maintain a social tie. Based on the empirical distribution of the social ties, the models are used to simulate spatially embedded networks to reproduce the tie length distribution in the empirical data.

Publication status

published

External links

Editor

Book title

Volume

685

Pages / Article No.

Publisher

Eidgenössische Technische Hochschule, Institut für Verkehrs- und Raumplanung

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

HUMAN-COMPUTER INTERACTION, HCI; Distance; Spatial; Social network; Geography; PERSONAL COMPUTING; SOCIAL NETWORKS + WEBCOMMUNITIES + SOCIAL SOFTWARE (SOCIOLOGY); SOZIALE NETZWERKE + WEBDIENSTE + SOZIALE SOFTWARE (SOZIOLOGIE)

Organisational unit

03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus) check_circle
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG

Notes

Funding

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