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Development of Software Tool for Spatial Detection of Big Groups Using Information from Social Networks

Student: Korolev Dmitry

Supervisor: Eduard Klyshinskiy

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Year of Graduation: 2016

The aim of this paper is development of software tool for gathering information from the Instagram social network and identifying of most popular public places in Moscow. The thesis provides an overview of different social networks. I show that messages in some social networks contain geo-information on the user’s location. The thesis describes structure of the developed system, various algorithms for data processing and software implementation of the main components. The developed software contains visual user interface, which screenshots are included in the paper, that displays the maps of Moscow and integral information on most visited locations. As the results of the work, I have made a comparative analysis of the obtained data and have drawn a conclusion on the statistical distribution of such data. The results can be used by people for determining popular places in real time, as well as different research organizations for studying the distribution of people in any time intervals for use of the revealed regularities in different sectors.

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