Mapping of data communication networks on social media

Information technology is developing very fast, this has an impact on real changes in every element of life. In addition to hitting the information media industry, developments have brought updates public spaces with easy access and increasingly massive pattern distribution. Ease does not always present a positive side but there negative side, namely shifting communication patterns spread false or disinformation methods that invite upheaval. This research uses case study method, which one way investigate contemporary phenomena context life, where boundaries between phenomenon are clearly visible. Through Social Network Analyzer (SNA) theoretical approach, will find three network patterns, centralized network, decentralized distributed network.