Associate Professor, University of São Paulo (USP), Brazil. Interested in network science, science of science, complex systems, data mining and NLP.

Bloomington/IN, US
Joined April 2009
Our new preprint is out: we use CatBoost and Graph Attention Networks (GATs) to accurately predict holding maneuvers while offering interpretability through graph-based feature importance. arxiv.org/abs/2502.04233
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In a new paper, we use network analysis to examine community disputes in post-civil war Mozambique. By analyzing a range of conflicts, from domestic disputes to wartime accusations, we reveal the deep-rooted tensions that persist in the region. sciencedirect.com/science/ar…
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Predicting a research paper's citation impact is crucial for stakeholders to assess the initial influence of a study and allocate resources to promising research. In our recent work, we compared the performance of GPT and other embedding models arxiv.org/abs/2407.19942
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I've just found out that our work has been covered by Fox News. foxnews.com/health/researche…
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Diego R. Amancio retweeted
Today in @Nature, I laid out our vision of using AI to help universities maximize their research impacts. Key Q: Can we use data and AI tools to help a university locate key ideas and personnel to maximize its impact and accelerate progress? nature.com/articles/d41586-0… 🧵 1/
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Next week at USP - São Carlos.
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In our new preprint on @arxiv , we show that including socio-economic data in epidemic forecasting can result in more accurate results. We consider data from Dengue, Zika, COVID-19 and Influenza. With @luizalober and Kirstin Roster. arxiv.org/abs/2405.01422
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Have you ever wondered what distinguishes a fiction book that achieves bestseller status? We explored this question in our latest paper: Using full-text content to characterize and identify best seller books: a study of early 20th-century literature doi.org/10.1371/journal.pone…
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In our recent paper, we uncover the evolution of topics and themes in Chemistry of Materials. Our latest editorial revisits the rich history of the journal, highlighting the most relevant subjects across three decades. pubs.acs.org/doi/10.1021/acs…
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Our approach offers a fresh perspective on the history of Chemistry of Materials, providing valuable insights for researchers . We use network analysis and natural language processing, leveraging the power of AI to analyze citation networks and identify communities.
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In our latest paper, we investigate the impact of limited information on recovering network properties. We analyzed sequences obtained from different types of random walk biases. journals.plos.org/plosone/ar…
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Our findings show significant variations in the accuracy of recovery, depending on the walk type used.
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In our latest paper, we present a method to measure the extent to which modular documents conform to hierarchical templates. Paper w/ @LdaFCosta , A. Benatti and A C M. Brito. lnkd.in/d_79BZNB #networkScience #textmining #graphs
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Have you heard that @PLOSComplexSys is now open for submissions? Learn more about this new community-led #OpenAccess journal: plos.io/CSopen – at Rio Claro, Brasil
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