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Query Processing in Location-Based Social Networks

Authors: Ammar Sohail;

Query Processing in Location-Based Social Networks

Abstract

This thesis studied location based queries on social networks. By exploiting spatial and social data, social networks can offer many interesting services such as in public health, disaster management, tourism, marketing etc. Social relationships play a vital role in our daily lives to enable us in making right decisions in various activities and events and thus impose some influence on us. Thus, this thesis studied spatial-aware queries on social networks to recommend points of interest (POI) to the query user based on spatial and social relevance.

Keywords

FOS: Computer and information sciences, Information Systems

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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