Open AccessMining Social Networking Sites: A Specific area of Facebook
Author(s) -
Sonam Sonam,
Dr.S Mohan Kumar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6121.118419
Subject(s) - crawling , computer science , social media , social network (sociolinguistics) , world wide web , data science , process (computing) , data collection , graph , site map , information retrieval , data mining , web page , theoretical computer science , medicine , web navigation , statistics , static web page , mathematics , anatomy , operating system
Now a days facebook is the specific social network site for communicating more people, to develop learning process & research area. Although mining and analysis are needed area of social network so, we are showing useful part in this paper that are related to communication with people, collection of data and uses of social network’s tool and techniques .During our research work we found several tools are available for collecting data and analyzing fan pages. For the purpose of our research work, we used social network site such as Facebook, in this platform we created one page related to blog who did the panacea for us. In this research paper we have applied online social media network for extracting data. Uniform node detection has used for finding common properties among audience as well as Regular equivalence nodes are using for calculating uniformity. Effective user detection, Graph structure, sampling framework are an efficient way that are explained in our paper. Breadth first search & Uniform are best approaches that has used .Graph API has major role to collect data and for the purpose of analyzing data, we used Facebook crawling process. Whenever for growing audience and know about audience information , we have explained about Facebook Insight, Like Alyzer , Sociograph , Agorapulse, Quintly , Brandwatch, So Trender , Brand 24 , Social Bakers, Rival IQ, Unmetric etc. that are more appropriate and accurate tools .