most citedCentrality measures in networks based on nodes attributes, long-range interactions and group influence

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.GN2018

Key Borrowers Detection by Long-Range Interactions

Fuad Aleskerov, Natalia Meshcheryakova, Alisa Nikitina +1

We propose a new method for assessing agents' influence in financial network structures, which takes into consideration the intensity of interactions. A distinctive feature of this…

physics.ao-ph2018★ 1 cited

Constructing an efficient machine learning model for tornado prediction

F. Aleskerov, N. Baiborodov, S. Demin +4

Tornado prediction methods and main mechanisms of tornado genesis were analyzed. A model, based on the superposition principle, has been built. For efficiency evaluation, the const…

math.OC2016★ 1 cited

Normative properties of multi-criteria choice procedures and their superpositions: I

Sergey Shvydun

We consider different choice procedures such as scoring rules, rules, using majority relation, value function and tournament matrix, which are used in social and multi-criteria cho…

math.OC2016

Normative properties of multi-criteria choice procedures and their superposition: II

Sergey Shvydun

Two-stage superposition choice procedures, which sequentially apply two choice procedures so that the result of the first choice procedure is the input for the second choice proced…

cs.SI2016★ 2 cited

Centrality measures in networks based on nodes attributes, long-range interactions and group influence

F. Aleskerov, N. Meshcheryakova, S. Shvydun

We propose a new method for assessing agents influence in network structures, which takes into consideration nodes attributes, individual and group influences of nodes, and the int…