文章基本信息

标题：Using Algorithms K-means and Centrality of Intermediation for Analysis of a Social Network Focused in Commercial
本地全文：下载
作者：Carolina Palma Pimenta Furlan ; Marcelo Lisboa Rocha ; Anderson da Silva Soares 等
期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2015
卷号：4
期号：2
出版社：International Journal of Computer and Information Technology
摘要：The advent of the Internet has enabled several means of communication between people and among them is the social networking platforms becoming a new form of relationship. Explore this new environment, it has become increasingly popular for researchers, as well as managers in general. This environment provides the formation of communities and through them it is possible to identify formation of groups through their interests and connections. The environment of this research consists of subgroup Tocantins digital social network Facebook. This subgroup that is focused exclusively on commercial disclosures, having more than 10,000 members. In this environment, it was possible to develop applications to collect information of the postings of the members of the group studied, by means of APIs that Facebook itself offers. Later in this work, we applied the algorithm k-means to the grouping of data (users with same preferences), and also to measure centrality of intermediation where they revealed the existence of States with greater influence in your posts, and products or services most viewed within the subgroup.
关键词：centrality; k-means; Facebook; social network; ; commercial disclosures