Maksim Kitsak
Maksim Kitsak | |
|---|---|
| Add a Photo | |
| Born | 1980 (age 43–44) Minsk, Belarus |
| Nationality | Belarusian |
| Citizenship | Belarus |
| Occupation | Professor |
Maksim Kitsak is an Assistant Professor at the Delft University of Technology in the Faculty of Electrical Engineering, Mathematics and Computer Science..[1]. His primary research interests lie in the theoretical and practical aspects of Big data, particularly in Network science.
Education
Maksim Kitsak was born in 1980 in Minsk, Belarus. After achieving an undergraduate diploma in Physics at the Belarusian State University in 2002, he attended the Boston University for his graduate studies. His academic focuses were on Statistical physics and Complex networks, with his dissertation on the Organization of Complex Networks. He was supervised by noted physicist H. Eugene Stanley and graduated in 2009 with a PhD[2]
Career
Subsequently, Maksim Kitsak held postdoctoral appointments at the University of California, San Diego and Northeastern University in Boston. Notably, he was mentored by prominent Network theorist Albert-László Barabási from 2012 to 2014 in the Center for Complex Network Research[3]. Following this he held the position of Associate Research Scientist under the Department of Physics at Northeastern University starting 2014[4], moving to his current role as Assistant Professor at TU Delft in March 2020.
His research is primarily focused on the applications of Network science to the Social sciences, Biomedicine, Cybersecurity, Neuroscience and Infrastructure. Some of his most cited works include Identification of Influential Spreaders in Complex Networks[5][6][7][8], which found that most prominent spreaders, for example in disease networks, do not necessarily correspond to nodes. Instead, these spreaders are best identified through the use of k-core decompositions. Another highly cited paper he has worked on titled Popularity versus Similarity in Growing Networks[9] addresses the role that similarity plays in addition to popularity in the development of Preferential attachment[10].
References
- ↑ "Staff". TU Delft. Retrieved 2020-12-13.
- ↑ "Maksim Kitsak - CV". www.maksimkitsak.com. Retrieved 2020-12-13.
- ↑ "Barabási Lab". www.barabasilab.com. Retrieved 2020-12-13.
- ↑ "Northeastern University - Maksim Kitsak".
{{cite web}}: CS1 maint: url-status (link) - ↑ Kitsak, Maksim; Gallos, Lazaros K.; Havlin, Shlomo; Liljeros, Fredrik; Muchnik, Lev; Stanley, H. Eugene; Makse, Hernán A. (November 2010). "Identification of influential spreaders in complex networks". Nature Physics. 6 (11): 888–893. doi:10.1038/nphys1746. ISSN 1745-2481.
- ↑ "Best Connected Individuals Are Not the Most Influential Spreaders in Social Networks". MIT Technology Review. Retrieved 2020-12-14.
- ↑ Eaton, Kit (2010-02-03). "Want to Spread News on Twitter? It's Who You Know, Not How Many". Fast Company. Retrieved 2020-12-14.
- ↑ "Location determines social network influence, study finds; Number of connections less important than proximity to core". ScienceDaily. Retrieved 2020-12-14.
- ↑ Papadopoulos, Fragkiskos; Kitsak, Maksim; Serrano, M. Ángeles; Boguñá, Marián; Krioukov, Dmitri (27 September 2012). "Popularity versus similarity in growing networks". Nature. 489 (7417): 537–540. doi:10.1038/nature11459. ISSN 1476-4687.
- ↑ "Maksim Kitsak". scholar.google.com. Retrieved 2020-12-13.
External links
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