The users of social media navigate in information spaces and at the same time, as embodied agents, they move in geographic environments. Both activities follow a similar type of information economy in which decisions by individuals or groups require a highly selective filtering to avoid information overload. In this context, visibility refers to the fact that in social processes some actors, topics or places are more salient than others. Formal notions of visibility include the centrality measures from social network analysis or the plethora of web page ranking methods. Recently, comparable approaches have been proposed to analyze activities in geographic environments: Place Rank, for instance, describes the social visibility of urban places based on the temporal sequence of tourist visit patterns.
The workshop aims to bring together researchers from AI, Geographic
Information Science, Cognitive Science, and other disciplines who are
interested in understanding how the different forms of visibility in
information spaces and geographic environments relate to one another
and how the results from basic research can be used to improve spatial
search engines, geo-recommender systems or location-based social
networks. Topics of interest include, but are not limited to the
following:
Contact: ute.schmid (at) uni-bamberg.de
Program Commitee: