Actualization of a Course Library through Influential Twitter Knowledge

The paper presents an investigation focused on directions for a course library list forming based on the collective intelligence of the most influential Twitter users. Our main aim is to answer the question whether and how Twitter posts may be used to facilitate the learning process. Billions of messages and users are tracked, extracted and analyzed to examine the possibilities for finding the relevant knowledgeable and informative sources of learning resources. The library list is compiled as a Twitter user searching, collecting and updating the most valuable Twitter content through keywords, hash tags, and user names organizing an ego-centric network. We pay particular attention to the most influential Twitter users, the most impressionable Twitter participants, users with a biggest number of favored messages and the most followed users in Twitter lists. The findings point that the most reliable authority for the course Internet Technologies are people practicing web design/programming, actively tweeting IT companies´ representatives, the educators´ guild, journalists and self-placed informers. Among the relevant and valuable resources are: tutorials, novelty articles, blog posts opinions and ideas, tips for accomplishing small tasks and dealing with tricky issues, useful codes and templates, new tools and explanations of contemporary and emerging technologies.