TY - JOUR
T1 - Comments to “Quantification of network structural dissimilarities” published by Schieber et al
AU - Dehmer, Matthias
AU - Emmert-Streib, Frank
N1 - Funding Information:
This work was financially supported by grant CMRC-9412 from the Vice Chancellor for Research Affairs, Cellular and Molecular Research Center, of Ahvaz Jundishapur University of Medical Sciences.
Publisher Copyright:
Copyright © 2018 John Wiley & Sons, Ltd.
PY - 2018/9/30
Y1 - 2018/9/30
N2 - Recently, we came across the paper entitled “Quantification of network structural dissimilarities” published by Nature Communications. In this paper, Schieber et al claimed to propose a novel technique for measuring the structural similarity of networks. The authors of this commentary are familiar with this special area of network analysis. After reading the paper, we doubt that the graph similarity (distance) measure due to Schieber et al is entirely novel. Instead, parts thereof are very similar to contributions we have authored. Unfortunately, they have not been cited nor acknowledged in Schieber et al.
AB - Recently, we came across the paper entitled “Quantification of network structural dissimilarities” published by Nature Communications. In this paper, Schieber et al claimed to propose a novel technique for measuring the structural similarity of networks. The authors of this commentary are familiar with this special area of network analysis. After reading the paper, we doubt that the graph similarity (distance) measure due to Schieber et al is entirely novel. Instead, parts thereof are very similar to contributions we have authored. Unfortunately, they have not been cited nor acknowledged in Schieber et al.
KW - complex networks
KW - computational network theory
KW - structural distance
KW - structural network analysis
UR - http://www.scopus.com/inward/record.url?scp=85050945751&partnerID=8YFLogxK
U2 - 10.1002/mma.5099
DO - 10.1002/mma.5099
M3 - Letter
SN - 1099-1476
VL - 41
SP - 5711
EP - 5713
JO - Mathematical Methods in the Applied Sciences
JF - Mathematical Methods in the Applied Sciences
IS - 14
ER -