Share This Article:

A Google Map Based Social Network (GMBSN) for Exploring Information about a Specific Territory

Abstract Full-Text HTML Download Download as PDF (Size:520KB) PP. 343-348
DOI: 10.4236/jsea.2013.67043    3,833 Downloads   6,279 Views   Citations

ABSTRACT


Social Networking is a harbinger to a more recent era in the area of computing where allocated and central resources are used in an exclusive manner. Millions of people around the globe with access to the internet are part of one or more social networks. They have permanent online accounts on Facebook and Twitter etc. where they create profiles, share photos, videos, useful links, their thoughts and spend hours catching up with what their friends are doing in their lives. The problem arise when somebody needs specific information about any city inside a country e.g. Where he/she can live? What he/she can eat? Where is the best place for outing? What are the special events relevant to that region? And may be any other help? In this paper we suggest a social network called Google map based social network (GMBSN), where users can choose their desired city of interest from the list. The selected city will be highlighted on Google map. After choosing any city from the map, the user will be able to select any category from the list and start finding and sharing information about the desired city of any country.


Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

W. Ahmad, A. Zia and U. Khalid, "A Google Map Based Social Network (GMBSN) for Exploring Information about a Specific Territory," Journal of Software Engineering and Applications, Vol. 6 No. 7, 2013, pp. 343-348. doi: 10.4236/jsea.2013.67043.

References

[1] N. Li and G. Chen, “Analysis of a Location-Based Social Network,” International Conference on Computational Science and Engineering, Vancouver, 29-31 August 2009, pp. 263-270. doi:10.1109/CSE.2009.98
[2] M. Ye, P. Yin and W.-C. Lee, “Location Recommendation for Location-Based Social Networks,” Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, (c), (2010, pp. 458. doi:10.1145/1869790.1869861
[3] I. Workshop, “We Will Set One Best Paper award According to the Review Organizers General Chair: Program Chair: Program Committee,” The 4th International Workshop on Location-Based Social Networks (LBSN 2012), Pittsburgh, 8 September 2012.
[4] C. Fu, Y. Wang, Y. Xu and Q. Li, “The Logistics Network System Based on the Google Maps API,” 2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM), Harbin, 9-10 January 2010, pp. 1486-1489. doi:10.1109/ICLSIM.2010.5461215
[5] H. Li and L. Zhijian, “The Study and Implementation of Mobile GPS Navigation System Based on Google Maps,” 2010 International Conference on Computer and Information Application, Tianjin, 3-5 December 2010, pp. 87-90. doi:10.1109/ICCIA.2010.6141544
[6] S. Saha, N. Agarwal, P. Dhanuka and S. Nandi, “Google Map Based User Interface for Network Resource Planning in Post Disaster Management,” Proceedings of the 3rd ACM Symposium on Computing for Development, Bangalore, 11-12 January 2013, Article No. 22. doi:10.1145/2442882.2442910
[7] http://www.sdbay.sdsu.edu/maps/images/DisMap_architecture.gif
[8] http://developers.facebook.com/docs/reference/php/facebook-api/
[9] http://uswaretech.com/blog/wp-content/uploads/2009/02/facebook.jpg
[10] J. J.-C .Ying, W.-C. Lee, M. Ye, C.-Y. Chen and V. S. Tseng, “User Association Analysis of Locales on Location Based Social Networks,” Proceedings of the 3rd ACM SIGSPATIAL International Workshop on LocationBased Social Networks, Chicago, 1 November 2011, pp. 69-76. doi:10.1145/2063 212.2063214
[11] J. Bao, Y. Zheng and M. F. Mokbel, “Location-Based and Preference-Aware Recommendation Using Sparse GeoSocial Networking Data,” Proceedings of the 20th International Conference on Advances in Geographic Information Systems SIGSPATIAL, Redondo Beach, 6-9 November 2012, pp. 199-208. doi:10.1145/2424321.2424348
[12] D. Yamamoto, I. Takumi and H. Matsuo, “Location-Based Social Network Services Employing Student Cards for University,” Proceedings of the 2009 International Workshop on Location Based Social Networks, Seattle, 3 November 2009, pp. 21-24. doi:10.1145/1629890.1629895
[13] S. C. Tan, “Location Aware Applications for Smart Cities with Google Maps and GIS Tools,” 2006.
[14] S. Scellato and C. Mascolo, “Measuring User Activity on an Online Location-Based Social Network,” 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Shanghai, 10-15 April 2011, pp. 918-923. doi:10.1109/INFCOMW.2011.5928943
[15] X. Long, L. Jin and J. Joshi, “Exploring TrajectoryDriven Local Geographic Topics in Foursquare,” Proceedings of the 2012 ACM Conference on Ubiquitous Computing, Pittsburgh, 5-8 September 2012, pp. 927-934. doi:10.1145/2370216.2370423
[16] http://www.facebook.com
[17] C. Chow, “Towards Location-Based Social Networking Services Categories and Subject Descriptors,” 2010.
[18] http://georillas.com/
[19] http://eu1.badoo.com/
[20] http://www.shakabanga.com/
[21] http://www.dehood.com/http://www.foursquare.com
[22] http://www.citysourced.com/about
[23] http://www.foodspotting.com
[24] http://www.foursquare.com
[25] http://en.friendticker.com/
[26] http://www.locr.commap
[27] http://www.facebook.com/security

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.