Publisher's Synopsis
Social media has played major role as a communication tool and news dissemination tool together with the traditional news sources such as newspaper, radio and television. The abundance of information available in social media inspires many to explore the possibility to analyze and exploit knowledge that can be derived from it. In this special issue on social media analysis, we present five different papers that show different applications of social media analysis, together with its unique approach or technique. The first paper titled "Opinion-driven communities' detection looks at the use of document analysis technique to perform opinion mining. The "opinion" is not only being detected in the passages of text but also is used to automatically detect a community. A community is defined as a group of people who expressed similar opinions. Based on the same technique, the paper also suggests that similar or contradiction in opinions can be detected quickly during the analysis. Unlike the first paper that uses documents as the source for data analysis, the other four papers look at micro-blog as the source of data analysis. The four papers aim at different types of applications and analysis. Ranging from personalized recommendation, identifying "real life" tweet, communication model in the crisis situation and identifying tweeter' s users behavior.
