We help businesses unlock the valuable information in complex social data.

 

Kcore Analytics, LLC specializes in anticipating opinion trends in real-time, identifying key opinion leaders, and tracking the effectiveness of messages in massive social networks. Its proprietary analysis technology is unparalleled and at the forefront of social networks analytics.  Kcore Analytics is based in New York City. Its public-facing technology can be found at kcore-analytics.com.

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Co-Founder

Hernan Makse, PhD

Hernan Makse, founder and CEO, is Professor of Physics at the City University of New York. His work focuses on complex network and data science. Dr. Makse has a record of high-impact research in big-data analytics and complex networks ranging from social networks to the brain. He has developed optimization and machine learning algorithms that form the basis of Kcore Analytics to identify influencers and to understand opinion trends to effectively predict election outcomes from social media. He is currently developing the next-generation analytics tools to track the opinions of the electorate from social media outlets.

Co-Founder

Flaviano Morone, PhD

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Flaviano Morone, co-founder and CTO, is a Senior Scientist at the City University of New York and holds a PhD degree in Physics from the University of Rome ‘La Sapienza’. Dr. Morone has a broad scope of experience in graph theory, machine learning, combinatorial optimization, and statistical mechanics of disordered systems. He combines an eclectic blend of skills as a theorist, modeler and big-data analyst of
complex networks. His seminal work, published in Nature and PNAS, sets the theoretical basis for the Collective Influence Algorithm at the core of the search engine of Twitter influencers at Kcore Analytics.

Co-Founder

Boleslaw Szymanski, PhD

Boleslaw Szymanski, co-founder and Government Lead, is Professor of Computer Science and the Founding Head of the Network Science and Technology Center at the Rensselaer Polytechnic Institute, where he moved from the Department of Computer and Information Science at the University of Pennsylvania. Dr. Szymanski is the Director of the multi-university Social Cognitive Networks Academic Research Center, which studies the fundamentals of social and cognitive network science; the center is a part of the Network Science Collaborative Technology Alliance funded by the United States Army. He is also the Principal Investigator in the Renoir Project of the European Union’s Horizon 2020 program and was a Project Leader in the International Technology Alliance. His projects include dynamic processes on networks, hidden groups in social networks, sensor network protocols and algorithms, AI and machine learning, and large-scale parallel and distributed computing and simulation.

Head of Technical Operations

Andrea Morone, MS

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Andrea Morone brings a solid knowledge of computer science, data structures, algorithms, and software design. In-depth knowledge of designing and developing large systems software. He holds a Master degree in Computer Science and he is based in Roma and New York.

Data Scientist

Alexandre Bovet, PhD

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Alexandre Bovet earned his PhD in physics at EPFL, Switzerland, where he investigated non-classical diffusion in turbulent plasmas at the Swiss Plasma Center. He then studied disease spreading in contact networks of social animals at the Institute for Integrative Biology at ETH Zurich, Switzerland. He is currently at The City College of New York, in Hernan Makse’s group, with a Fellowship of the Swiss National Science Foundation, investigating the diffusion of information in social networks.

R&D Financial Scientist

Kevin Roth, MS

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Kevin Roth is a physicist and quantitative analyst with professional experience in algorithmic trading, who loves traveling and mate. He is applying his extensive expertise as an analyst for financial institutions like Credit Suisse to develop machine learning algorithms and combinatorial optimization to forecast trends in financial markets. He is applying his knowledge for market predictions and analytics at Kcore.

Identify Networks and Communities

Discover new ways to look at social influencer marketing data. Look at the people around specific Twitter conversations through multiple lenses.

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.

About our platform
ONLINE WEB PLATFORM

Kcore Analytics provides an advanced online platform to help your business achieve its marketing goals. For Personalized Premium Data Analytics contact us.

About Us

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

Our mission is to improve your social media strategy by mapping influencer networks to uncover the people and content that drive more effective marketing.

OUR ADDRESS
Kcore Analytics LLC
521 W 146TH ST #189
New York, NY 10031-9410
United States

© Copyright 2018 Kcore Analytics- All Rights Reserved

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