Encyclopedia of Social Network Analysis and Mining

Living Edition
| Editors: Reda Alhajj, Jon Rokne

Spatiotemporal Proximity and Social Distance

  • Christoph SchliederEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7163-9_326-1


Information filtering; Report confirmation



Location-based social network

Heuristic principle

An experience-based but fallible problem-solving approach

Information filtering

An algorithm that aims at identifying relevant pieces of information

User-generated content

Text, images, or other media published in a LBSN


Spatiotemporal proximity and social distance are two heuristic principles for filtering user-generated content produced by the members of a location-based social network (Schlieder and Yanenko 2010; Yap et al. 2012). Information filtering addresses the quality problem which arises when content is created by a large community of voluntary contributors as is the case in Web-based forms of participatory or citizen journalism. While the computational filtering approaches share some basic assumptions with the evaluation approach adopted in classical journalism, there are significant differences with respect to the scale of the problem and the...


Social Distance Spatial Proximity Temporal Proximity Negative Report Heuristic Principle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  1. 1.University of Bamberg, Faculty for Information Systems and Applied Computer Sciences, Chair of Computing in the Cultural SciencesBambergGermany

Section editors and affiliations

  • Gao Cong
    • 1
  • Bee-Chung Chen
    • 2
  1. 1.Nanyang Technological University (NTU)SingaporeSingapore
  2. 2.LinkedInMountain ViewUnited States