We help businesses unlock the valuable information in complex social data.
We are able to help businesses discover social media influencers and leverage contextually segmented social data for more efficient and effective marketing.
Has as a record of high-impact research in big-data analytics of complex systems ranging from social networks to the brain.
Hernan is co-founder of Kcore Lab and Professor of Physics at City University of New York, wherein he is responsible for the Complex Networks and Soft Matter lab at the Levich Institute. He holds a PhD degree in Physics from Boston University. Hernan has a record of high-impact research in big-data analytics of complex systems ranging from social networks to the brain. He is author of more than 130 articles in data science published in prestigious scientific journals such as Nature, Nature Physics, Nature Communications and Proceedings of the National Academy of Science. Hernan has received the Young Investigator Award for Excellence in Science and Technology by the Mayor of New York City, the Milstein Award from the University of Buenos Aires, a Career Award and a Career Advancement Award from the National Science Foundation. He is a Fellow of the American Physical Society and serves in the Editorial Board of Nature Scientific Reports, Journal of Statistical Mechanics, Heliyon and Europhysics Letters. His research has been profusely featured in the press at MIT Technology Review, The Guardian, The Atlantic and U.S. News. Hernan collaborates with many international scientists and has visited over 50 countries in the world and whenever he travels, he usually attends a concert at the main Arts Center of the city and enjoys the local culture. He loves jazz, classic literature and opera. He is an avid footballer and spends his free time kitesurfing along the Northeastern Brazilian coastline.
Has broad experience in graph theory, machine learning, combinatorial optimization and statistical mechanics of disordered systems.
Flaviano is co-founder of Kcore Lab. He received his PhD in Physics at the University of Rome, La Sapienza, under the supervision of Prof. Giorgio Parisi, a Boltzmann, Dirac, Max Planck and Fermi Medalist. Flaviano has a broad scope of experience in graph theory,
machine learning, combinatorial optimization and statistical mechanics of disordered systems. He brings an eclectic blending of skills as a theorist, modeler and big-data analytics of complex systems and network science. He has applied the theories of spin-glass optimization to complex networks; a work that has culminated in the development of a new paradigm of optimal network influence. His seminal work done with Hernan was published in Nature 2015 and sets the theoretical basis for the Collective Influence Algorithm at the core of the search engine of Twitter influencers at Kcore Lab.
R&D Data Scientist
Has strong knowledge in optimization algorithms, big-data analytics, and the physics of complex networks and media.
Head of Technical Operations
Solid knowledge of computer science, data structures, algorithms, and software design. In-depth knowledge of designing and developing large systems software.
R&D Financial Scientist
Professional experience in algorithmic trading, who loves traveling and mate and has develop machine learning algorithms and combinatorial optimization to forecast trends in financial markets.
Works on machine learning algorithms and AI to predict diffusion of information in Twitter and other social platforms.
Define a network by a topic, a hashtag or a keyword and analyze the influence between members of Twitter. Map the networks to triangulate the interest or influence between members.
Social Influencers have become powerful allies in the marketing world, and our vision is to uncover connections and engage between them and the brands.
Our mission is to improve your social media strategy by mapping influencer networks to uncover the people and content that drive more effective marketing.
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