Data analysis always played a crucial role in computer science towards a more efficient understanding of its various trends. Focusing on digital content - generated, shared and consumed within the framework of social networks - this task is getting both more interesting and difficult to tackle. Nowadays social media platforms and networks have provided researchers with tools and opportunities to analytically study social phenomena, but at the same time significant and rather complex computational challenges are yet to be tackled, due to the huge rate of new content and information production imposed by social interactions. The ultimate goal of this position paper is to provide interested stakeholders a state-of-the-art overview of major contextual information types to be identified within the social networks' environment.
['Phivos Mylonas']
Types of contextual information in the social networks era