Talk by Diego Amancio and Filipi Silva

Joint Talk

When: Thursday, April 27th, 2017, 2:30 pm

Where: Informatics East, Room 322

Speakers: Diego Raphael Amancio and Filipi Nascimento Silva

Part One

Modelling and characterization of information networks (Diego Raphael Amancio)

Complex networks have been used to model a myriad of real systems, including information. In this presentation, I will focus on the application of network science theory in text classification and scienciometry. I will show how the information obtained from the topological structure of networks can assist typical classification tasks such as authorship recognition and sense disambiguation.

Diego Raphael Amancio received his B.S. degree in computer engineering from University of São Paulo (USP, Brazil) in 2009. He also received a Ph.D. degree in Computational Applied Physics from USP in 2013. Since 2014, he is an assistant professor at USP (Computer Science department). His current research focus on the structural analysis of information networks and applications in scienciometry. He also applies network science in pattern recognition methods

Part Two

Information networks: structure, visualization and applications (Filipi Nascimento Silva)

An information network is a particular case of a complex network in which the nodes can represent pieces of information, such as text, articles, ideas or even abstract concepts; while edges represent their relationships, such as similarity, citations, references, dependence, etc. In this presentation, we will focus on ways to understand the complexity of such systems in terms of dimension and symmetry. We will also show how visualizing information networks can provide interesting insights about their underlying characteristics. Concerning network applications in scienciometry, we will present our work on quantifying interdisciplinary of journals and how text mining techniques can be interwoven with network science to build ontologies on a given scientific area.

Filipi Nascimento Silva received his Bachelor, Master and Ph. D. in computational physics from the São Carlos Institute of Physics (University of São Paulo). Currently, holding a post-doc position at the same institute. Have experience with the analysis of complex systems, data visualization, scientific publication, framework development and web development. His research is based on the use of complex network concepts and approaches to tackle studies on data analysis and visualization of real-world systems. Under an interdisciplinary collaborative environment, he was able to develop interesting research in many fields. This includes studies on biological structures (and systems), scientometry, textual analysis and urban networks. He also developed new tools and frameworks for scientific research as well as for entertainment purpose.