Structure Analytics in Social Media
Aggregate analytics in social media; Exploratory mining in social media; User-generated content analysis
Structure analytics in social media is the process of discovering the structure of the relationships emerging from social media use, by leveraging the rich metadata associated with items and users in online sites. It focuses on identifying the users involved, the activities they undertake, the actions they perform, and the items they create and interact with. Example items can be movies, restaurants, entities, and Web pages. The objective of structure analytics in social media is to identify interesting patterns in large amounts of user-generated content such as product reviews, rating, forums, and social media conversations and use that knowledge in subsequent actions. An example mining task is finding groups of reviewers who have similar feedback (such as high ratings) for similar (or diverse) sets of items (such as movies by the same director). Unlike...
- 2.Das M, Amer-Yahia S, Das G, Mri CY. Meaningful interpretations of collaborative ratings. Proc VLDB Endow. 2011;4(11):1063–74.Google Scholar
- 6.Sarawagi S. Explaining differences in multidimensional aggregates. In: Proceedings of the 25th International Conference on Very Large Data Bases; 1999. p. 2–53.Google Scholar
- 7.Sarawagi S, Agrawal R, Megiddo N. Discovery-driven exploration of OLAP data cubes. Springer; 1998.Google Scholar
- 8.Sathe G, Sarawagi S. Intelligent rollups in multidimensional olap data. In: Proceedings of the 27th International Conference on Very Large Data Bases; 2001. p. 531–40.Google Scholar