Real world complex systems can be modeled as networks of linked elements called complex networks. The topology and dynamics of such networks have been shown more similar than expected, independently of their domain or function -- e.g., sociology, biology and web science -- enabling the generalization of models and reuse of solutions, fostering a convergence of several domains to a common paradigm around a network science.
Research with complex networks are still based in the development of specialized ad-hoc solutions for each problem, requiring long and costly implementations. Solutions for recurrent demands of problems are reimplemented with low or no reuse, e.g., efficient approaches to access big data volumes when handled by analysis algorithms.
Currently the Laboratory of Information Systems -- LIS (Institute of Computing, Unicamp) has been conducting research involving models, strategies and infrastructures to manage and to analyze complex networks under a database perspective. We are conceiving an infrastructure that embraces a complete cycle of data management and analysis based on networks, focused in the eScience context.
In this talk we will focus in the following topics: (i) a database perspective over complex networks analysis, mediated by a query language, which is able to combine classical database languages with complex network metrics; (ii) the role of graph databases in this scenario, as well as their interaction and coexistence with other database models and external resources, like spreadsheets; (iii) management of graph versions, layers and scales in a database; (iv) models and strategies to address practical scenarios of complex networks, as the role of the information flow in the dynamics of social networks.
Professor and researcher at the Institute of Computing -- Unicamp (since 2010); coordinator of the Laboratory of Information Systems -- LIS, and research coordinator of the Gamux -- game development and research group; Ph.D. in Computer Science at Unicamp (2006). Teaches since 1989. His research interests are organized in two main groups: (i) encompasses a convergence among Web Science + Network Science + Data Science/Engineering, including: complex networks, semantic web, ontologies, graph databases and the application of these topics in eScience and Education; (ii) combines Games and Education in a perspective of tools to think and play, including: simulation and virtual laboratories, web authoring, web components and web for mobile.
Responsável: Profa. Ariadne M. B. R. Carvalho
Fone: (19) 3521-5864
Instituto de Computação, Unicamp