58 citations · 60 across the 3 of their papers we have counts for
3 papers
Random Graph Modeling: A survey of the concepts
Mikhail Drobyshevskiy, Denis Turdakov
Random graph (RG) models play a central role in the complex networks analysis. They help to understand, control, and predict phenomena occurring, for instance, in social networks,…
Collecting Influencers: A Comparative Study of Online Network Crawlers
Mikhail Drobyshevskiy, Denis Aivazov, Denis Turdakov +3
Online network crawling tasks require a lot of efforts for the researchers to collect the data. One of them is identification of important nodes, which has many applications starti…
Graph Neural Network for Crawling Target Nodes in Social Networks
Kirill Lukyanov, Mikhail Drobyshevskiy, Danil Shaikhelislamov +1
Social networks crawling is in the focus of active research the last years. One of the challenging task is to collect target nodes in an initially unknown graph given a budget of c…