Authors: Alexander Semenov; Jari Veijalainen
Addresses: Department of Computer Science and Information Systems, University of Jyväskylä, P.O. Box 35, FIN-40014, Finland; Institute for High-Performance Computing, National Research University 'ITMO', 197101, Saint Petersburg, Kronverkskiy pr., 49, Russia ' Department of Computer Science and Information Systems, University of Jyväskylä, P.O. Box 35, FIN-40014, Finland
Abstract: This paper describes a hierarchical, three-level modelling framework for monitoring social media. Immediate social reality is modelled through the first level of the models. They represent various virtual communities at social media sites and adhere to the social world models of the sites, i.e., the 'site ontologies'. The second-level model is a temporal multirelational graph that captures the static and dynamic properties of the first-level models from the perspective of the monitoring site. The third-level model consists of a temporal relational database scheme that models the temporal multirelational graph within the database. The models are specified and instantiated at the monitoring site. An important contribution of the paper is the description of the mappings between the modelling levels and their schematic algorithmic implementation within the monitoring site. The paper also describes theoretical limits for the accuracy and timeliness of monitoring activity, assuming that the monitoring is performed remotely over the internet.
Keywords: social network analysis; SNA; social media monitoring; information modelling; ontologies; temporal graph repository; multirelational graphs; graph database; temporal database; social networks; crawling; internet.
International Journal of Web Engineering and Technology, 2013 Vol.8 No.3, pp.217 - 249
Available online: 18 Oct 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article