activity
20152023
most citedCommunity detection in multiplex networks using locally adaptive random walks

19 citations · 29 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2023

Spectral properties of the Laplacian of temporal networks following a constant block Jacobi model

Zhana Kuncheva, Ognyan Kounchev

We study the behavior of the eigenvectors associated with the smallest eigenvalues of the Laplacian matrix of temporal networks. We consider the multilayer representation of tempor…

math.NA2020★ 10 cited

The TVBG-SEIR spline model for analysis of COVID-19 spread, and a Tool for prediction scenarios

Ognyan Kounchev, Georgi Simeonov, Zhana Kuncheva

Mathematical models are traditionally used to analyze the long-term global evolution of epidemics, to determine the potential and severity of an outbreak, and to provide critical i…

physics.soc-ph2019

Spectral Multi-scale Community Detection in Temporal Networks with an Application

Zhana Kuncheva, Giovanni Montana

The analysis of temporal networks has a wide area of applications in a world of technological advances. An important aspect of temporal network analysis is the discovery of communi…

stat.ME2017

Multi-scale Community Detection in Temporal Networks Using Spectral Graph Wavelets

Zhana Kuncheva, Giovanni Montana

Spectral graph wavelets introduce a notion of scale in networks, and are thus used to obtain a local view of the network from each node. By carefully constructing a wavelet filter…

q-bio.NC2016

Exploring brain transcriptomic patterns: a topological analysis using spatial expression networks

Zhana Kuncheva, Michelle L. Krishnan, Giovanni Montana

Characterizing the transcriptome architecture of the human brain is fundamental in gaining an understanding of brain function and disease. A number of recent studies have investiga…

cs.SI2015★ 19 cited

Community detection in multiplex networks using locally adaptive random walks

Zhana Kuncheva, Giovanni Montana

Multiplex networks, a special type of multilayer networks, are increasingly applied in many domains ranging from social media analytics to biology. A common task in these applicati…