Abstract

Location-based applications are one of the most anticipated new segments of the mobile industry. These new applications are enabled by GPS-equipped phones (e.g., emergency applications, buddy finders, games, location-based advertising, etc.). These services are designed to give consumers instant access to personalized, local content of their immediate location. Some applications couple LBS with notification services, automatically alerting users when they are close to a pre-selected destination. With the advances in the Internet and communications/mobile technology, it became vital to analyze the effect of such technologies on human communications. This work studies how humans can construct social networks as a method for group communications using the available technologies. We constructed and analyzed a friends network using different parameters. The parameters that were calculated to analyze the network are the distribution sequence, characteristic path length, clustering coefficient and centrality measures. In addition, we built a PDA application that implements the concept of LBS using two system modules. In the first module, we have developed an application for entertainment purpose; an application program which enables end users to send their birth year and get their horoscope in return. The second part of the project was, to build an application, which helps people to stay in touch with their friends and family members (Find Friend). It helps users to find which of their buddies are within the same area they are in.

Highlights

  • Introduction and related workWith the increasing population of the world, the importance of modeling social networks increases [5, 19,27,28]

  • A rumor can spread from a region to another far faster over a social network in which the average degree of separation is low, than it can over a network in which the average degree is high

  • We found that as the number of edges increases in the network the clustering coefficient and the average betweenness increases while the closeness decreases

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Summary

Introduction and related work

With the increasing population of the world, the importance of modeling social networks increases [5, 19,27,28]. The work in [4] concerns with everyday life It analyzes how mobile information systems, including social networking affects people’s life and how they interact. It developed a framework for the analysis of processes in settings of private everyday life. It can include more advanced enterprise scenarios such as intelligent dispatch, field service and geo-fencing These solutions often involve multiple application types including web based or client/server and mobile applications providing LBS on Pocket PC, Tablet PC and other mobile devices. “Find Friend” application helps users to enter their location (i.e., Kuwait City) and send it as a message to the service provider This in turns query for the list of friends and family members that exists in the same area. The scenario query for the required information, fetch the data from the database, and send it back to the user

Friends network construction
Friends network analysis
Location based services – LBS
LBS applications
HOROSCOPE application
Assign block that is used to save:
Find friend application
Find friend application enhancement
Administration part
Administrators managements:
User part
Findings
Conclusions and future work
Full Text
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