Abstract:
In this era of internet everyone is using social networks whether for recreation or for professional purposes. Huge amount of data is being generated per second by users of social networks on the internet. This data conceals the relevant and important information beneath heaps of extraneous data, it becomes difficult to reveal digital footprint of a single person. Every one manages more than two or three social networking platform, which makes it even more difficult to perform behavior analysis on individuals. This project will fetch the data from internet by a technique called web-scraping and save the data of the (targeted person) with various profiles on a single file, after exhausting some analytics algorithms, centralized social profiles information of the target person will be available on single platform. It will provide an organized and effective way to use the databases and web-scraping algorithms to extract all created profiles matching the search key. This project may become helpful in identifying and overcoming the lack of profile integrity (fake and multiple profiles) neglected by social networks by analyzing the type of data a person posts based on his behavior on various other social networks. Furthermore, this project will assist in creating and maintaining profiles of personnel working at an organization for better insights on their behavior, psychological conditions, stress levels and effective management of human resources.
