This article looks at how the logic of big data analytics, which promotes an aura of
unchallenged objectivity to the algorithmic analysis of quantitative data, preempts …

With the advent of the Internet of Things (IoT), users are more likely to have privacy concerns
since their personal information could be collected, analyzed, and utilized without notice by …

Contextual information about users is increasingly shared on mobile social networks.
Examples of such information include users' locations, events, activities, and the co …

Personal and contextual information are increasingly shared via mobile social networks.
Users' locations, activities and their co-presence can be shared easily with online" friends" …

Purpose The purpose of this paper is to investigate the continued use behavior (CU) of link
sharing tools based on uses and gratifications theory, the theory of planned behavior and …

We give an algorithm requiring polylog time and a linear number of processors to solve
single-source shortest paths in directed planar graphs, bounded-genus graphs, and 2 …

Location-Based Services have become increasingly popular due to the prevalence of smart
devices and location-sharing applications such as Facebook and Foursquare. The …

Location information sharing on popular online social networking platforms like Facebook
and Foursquare brings mutual benefits for the users of these platforms (eg, free …

Location-Based Mobile Service (LBMS) is one of the most popular smartphone services.
LBMS enables people to more easily connect with each other and analyze the aspects of …

The recent proliferation of GPS-enabled mobile phones has allowed people to share their
current locations with others. Because disclosing one's location can be valuable but risky …