Scientific Background

Scientific background

Maven7 is rooted in strong scientific and professional grounds. The methodologies developed and integrated into our analytics solutions are based on the scientific discoveries of our globally acclaimed and award-winning scientist co-founders, Albert-László Barabási and Tamás Vicsek. Through them we also have very close working relations with the prime academic think tanks of the discipline:

Albert-László BarabásiAlbert-László Barabási, our Scientific Advisor is a complex network scientist and a pioneer of real-world network theory. He is a distinguished professor at Central European University, Northeastern University, where he directs the Center for Complex Network Research, and holds appointments in the departments of physics, computer science and biology, as well as in the Department of Medicine at Harvard Medical School and Brigham and Women’s Hospital. Besides a number of widely-cited publications and books, he is the author of two bestsellers “Bursts: The Hidden Pattern Behind Everything We Do” and “Linked: The New Science of Networks”, both available in multiple languages. His work led to the discovery of scale-free networks in 1999, and he proposed the Barabási-Albert model to explain their widespread emergence in natural, technological and social systems, from the cellular telephone to the WWW or online communities.

Tamás VicsekTamás Vicsek, our Academic Director, is a professor of physics at the biological physics department of Eötvös Loránd University (ELTE), and a head of the Statistical and Biological Physics research group of the Hungarian Academy of Sciences. He has been involved in computational and experimental research on fractals, pattern formation, the low-frequency collective motion in proteins and DNA, the collective motion of bacterial colonies, the flocking of birds, and the structure and evolution of complex networks. Applied to crowds, he co-authored papers on mapping group dynamics within social networks and spontaneous collective decisions, such as initiating a Mexican wave. He has published five books, over 225 articles, and has given lectures at 100+ international conferences. His results had been published several times by leading scientific journals, such as Nature. Most recently, as part of the COLLMOT Robotic Research Project, a five-year program on the complex structure and dynamics of collective motion he coordinates, his team of Hungarian researchers created self-organizing drones that flock like birds and follow rules of collective motion. Honorary member of the American Physical Society.

Our Organizational Network Analysis software, OrgMapper, is based on the Cfinder algorithm, a software tool for network cluster (community) detection. Cfinder was developed by the Tamás Vicsek-lead ELTE biological physics research department, and published twice in Nature, the world’s most cited interdisciplinary scientific journal (2005, 2007).

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