Population segmentation in neighbourhood geosocial networking

Low, Sheng Loong (2016) Population segmentation in neighbourhood geosocial networking. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Quality of social community will degrade if each resident not social connected. Thus, this project try to tackle all this problem by use suitable algorithm to cluster and segment population of neighbour that implement in geosocial networking mobile application brings high quality of social community and safer housing environment. This algorithm will cluster and segment population of neighbourhood based on Dunbar’s number stated by British anthropologist Robin Dunbar suggest cognitive limit of 150 number of people which an individual can maintain stable social relationships. System also will define temporarily and permanent residents by the algorithm. Residents will provide its own information and switch on Global Positioning System (GPS) on cellphone to let server to accurately track residents living place. GPS tracked data will be record in database. All data will be cluster based on modified DBSCAN algorithm and population segmentation based on Dunbar’s number for high quality of social community. Thus, the geo-social networking mobile application will connect each resident in its own cluster area. Residents can use this geo-social networking mobile application as a communication platform to organize events, share news feeds, crime watching and swap goods. Therefore, this mobile application will build an neighbour concept, social community, easier platform and brings safer and greener living environment.

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