Towards identifying collaborative learning groups using social media: How Social Media can contribute to spountaniously initiated collaborative learning

摘要: This work reports about the preliminary results and ongoing research based upon profiling collaborative learning groups of persons within social micro-blogging platforms like Twitter1 that share potentially common interests on special topic. Hereby focus is held spontaneously initiated in Social Media detection their communication dynamics. Research questions targeted to be answered are: are there any useful data mining algorithms fulfill task pre-selection clustering users networks, how good do they perform, what metrics could used for evaluation realm this task. Basic approach presented here uses as preamble hypothesis Networks can identified through content generated by them consume. Special topic oriented least bounding point. Those should also basic criteria detect outline groups. The aim deliver first scientific pre-work successfully implementation recommender systems using network features purposes better group information consumption.