Dr. Demival Vasques Filho
Member of the academic staff, Digital Historical Research
Room: 03-04, Diether-von-Isenburg-Str. 9-11, 55116 Mainz (Besucheranschrift)
Phone: +49 6131 39 39442
Fax: +49 6131 39 35326
Vasques Filho holds a bachelor´s degree in Engineering Physics from the Federal University of Sao Carlos (UFSCar), in Brazil. There, he started his research career still as an undergraduate student. After graduating, he went to work in the industry, returning to academia after a long break, in 2015. He did his PhD in Physics, in the broad area of complexity and network theory, at the University of Auckland, in New Zealand. His thesis explored the structure and evolution of large social networks. During his PhD, he was part of several different projects involving networks, such as collaboration networks for scientific and technological innovation, networks of political power and political activity, and correspondence networks in the modern Portuguese Empire. He is interested in developing new methods and expanding the application of complex systems concepts to the study of the humanities and social sciences.
Networks of political and economic power
Structure dynamics of networks and evolution of communities
Collaboration networks for scientific and technological development
Influence and the spread of knowledge and ideas
Vasques Filho, D., & O’Neale, D.R. (2018). Degree distribution of bipartite networks and their projections. Phys. Rev. E, 98:022307, Aug 2018 Publication
Curran, B., Higham, K., Ortiz, E., & Vasques Filho, D. (2018). Look who’s talking: Two-mode networks as representations of a topic model of New Zealand parliamentary speeches. PLoS ONE 13(6), e0199072 Publication
Social relations are usually negotiated within a collective structure. In general, actors belong to social units or take part in social events where pairwise interactions (individual to individual) are over-simplistic. Nonetheless, current historical network analysis relies greatly on this type of interaction. Instead, we aim to investigate interactions between individual and collectivities, employing affiliation networks, and how these interactions affect the former.