CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Física Gleb Wataghin (IFGW) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Dr. Arruda has a publication record in complex systems and network science with 30 published scientific papers, 1 book, 3 book chapters, and 2 pre-prints. He has 2904 citations and an h-factor of 21, according to Google Scholar, including important/seminal work in multilayer networks (including a review and a book), interdisciplinary work, and seminal work in the study of higher-order systems. Dr. Arruda has trained 2 master's students and is currently co-supervising two PhD students. In his last position, he was a team leader at the CENTAI Institute. He will be joining the Gleb Wataghin Institute of Physics (IFGW) at UNICAMP in Brazil, funded by the FAPESP Young Researcher Grant. Dr. Arruda has been a member of the Council of the Complex Systems Society for two terms; he is an Academic Editor of the journal Complexity; he has taught 1 regular course and 1 short course, as well as being a guest lecturer at the Escola de Como. He has participated in the main conferences on complex systems and complex networks, being invited to give 5 talks and presenting 17 contributed talks. In addition to his output, he has served as a reviewer for more than 20 journals, including Physical Review Letters, Physical Review X, and Nature Communications. He has also served as a member of the program committee for 5 conferences and as an external reviewer for the ERC Synergy grant in 2023. (Source: Lattes Curriculum)
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While our knowledge of complex systems has grown, it often simplifies complex to pairwise interactions. This proposal advances our understanding by formalizing higher-order systems beyond conventional pairwise relationships. For example, social interactions often occur within groups; reactions in chemistry often require many reactants to generate their products; in gene expression, many g…
Although ubiquitous, interactions in groups of individuals have not been thoroughly studied. Perhaps the simplest example of social contagion in a higher-order context is modern messaging applications such as WhatsApp or Telegram, where we communicate in groups following one-to-many or many-to-many communication patterns. There is no consensus in the literature on how to model group inter…
Complex systems are composed of discrete parts that interact in a nonlinear manner. The analysis of such systems is of fundamental importance in the study of the brain, society, the Internet, the World Wide Web and food chains. Recent work has led to the description of the structure of such systems in detail when observed properties that are general to all these systems, including modular…
In this project, we present how data mining techniques can be used to study the relationship between network topologies and complex dynamic processes. This study will be conducted with the simulation of phenomena of synchronization, cascading failures and the spread of epidemics. The structure of the networks will be characterized by methods of data mining, which will classify networks ac…
Mathematical modeling of spreading processes have been largely studied on the literature, and its study presented a huge boom on the past few years. It is fundamental task on the understanding and prediction of real epidemics and rumor spreading over a population and are subject to many structural and dynamical constraints. In this project we intend to analyze such processes on the top of…
| 1 / 1 | Ongoing grants |
| 2 / 2 | Ongoing scholarships in Brazil |
| 3 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 7 / 7 | All research grants and scholarships |
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