Maksim Kitsak
Delft University of Technology
51 Papers
79 Citations
Maksim Kitsak is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Complex network & Degree distribution. The author has an hindex of 19, co-authored 48 publications. Previous affiliations of Maksim Kitsak include University of California, San Diego & Engineer Research and Development Center.
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Papers
Identification of influential spreaders in complex networks
Maksim Kitsak,Maksim Kitsak,Lazaros K. Gallos,Shlomo Havlin,Fredrik Liljeros,Lev Muchnik,H. Eugene Stanley,Hernán A. Makse +7 more
TL;DR: This paper showed that the most efficient spreaders are not always necessarily the most connected agents in a network, and that the position of an agent relative to the hierarchical topological organization of the network might be as important as its connectivity.
Uncovering disease-disease relationships through the incomplete interactome
Jörg Menche,Amitabh Sharma,Maksim Kitsak,Maksim Kitsak,Susan Dina Ghiassian,Susan Dina Ghiassian,Marc Vidal,Joseph Loscalzo,Albert-László Barabási +8 more
TL;DR: A network-based framework to identify the location of disease modules within the interactome and use the overlap between the modules to predict disease-disease relationships is presented and it is found that disease pairs with overlapping disease modules display significant molecular similarity, elevated coexpression of their associated genes, and similar symptoms and high comorbidity.
Hyperbolic geometry of complex networks
TL;DR: It is shown that targeted transport processes without global topology knowledge are maximally efficient, according to all efficiency measures, in networks with strongest heterogeneity and clustering, and that this efficiency is remarkably robust with respect to even catastrophic disturbances and damages to the network structure.
Popularity versus similarity in growing networks
TL;DR: It is shown that popularity is just one dimension of attractiveness; another dimension is similarity, and a framework in which new connections optimize certain trade-offs between popularity and similarity is developed, instead of simply preferring popular nodes.
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Resilience and efficiency in transportation networks
Alexander A. Ganin,Alexander A. Ganin,Maksim Kitsak,Dayton Marchese,Jeffrey M. Keisler,Thomas P. Seager,Igor Linkov +6 more
TL;DR: It is demonstrated that many urban road systems that operate inefficiently under normal conditions are nevertheless resilient to disruption, whereas some more efficient cities are more fragile, and resilience, not just efficiency, should be considered explicitly in roadway project selection and justify investment opportunities related to disaster and other disruptions.
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