Title: Social streams based on network proximity

Authors: Dmitry Namiot; Manfred Sneps-Sneppe

Addresses: Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, 119991, Russian Federation ' Ventspils University College, 101a Inženieru Street, LV-3601, Ventspils, Latvia

Abstract: This paper describes a new approach for using wireless sensors on mobile phones for integrating data from social networks. We describe existing models for integrating sensors and social networks, as well as propose a new practical approach for social context-aware data discovery that uses mobile phone as proximity sensor. Our concept uses new model for location-related statuses (check-ins) based on network proximity rules. And an appropriate mobile service (context-aware browser client for social networks) can present that information to mobile subscribers. As the potential use-cases for the proposed approach we can mention all projects related to hyper-local news data. For example, proximity marketing, Smart City news, indoor information delivery, etc.

Keywords: context-aware computing; data discovery; Bluetooth; wi-fi; network proximity; social networks; data mining; data integration; wireless sensors; mobile phones; cell phones; proximity sensors; local news data; social streams.

DOI: 10.1504/IJSSC.2013.058375

International Journal of Space-Based and Situated Computing, 2013 Vol.3 No.4, pp.234 - 242

Available online: 18 Dec 2013 *

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