The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
최근 복잡한 네트워크의 제어 가능성은 드라이버 노드가 핵심적이고 중심적인 역할을 하는 네트워크 과학 분야에서 뜨거운 주제가 되었습니다. 따라서 구조적 특성을 연구하는 것은 네트워크 제어 가능성의 기본 메커니즘을 이해하는 데 매우 중요합니다. 본 논문에서는 복잡한 네트워크를 제어하는 데 있어 드라이버 노드의 노드 중심성을 체계적으로 조사한 결과, 드라이버 노드는 내부 차수는 낮지만 외부 차수는 높은 경향이 있으며, 대부분의 드라이버 노드는 매개 중심성이 낮지만 매개 중심성을 갖는 경향이 있음을 발견했습니다. 친밀도 중심성이 상대적으로 높다. 또한 고유 벡터 중심성과 Katz 중심성을 향한 드라이버 노드의 경향은 매우 유사한 동작을 나타내며, 높은 고유 벡터 중심성과 높은 Katz 중심성은 드라이버 노드에 의해 방지됩니다. 마지막으로, PageRank 중심성을 향한 드라이버 노드는 양극화된 분포를 나타냅니다. 즉, 대부분의 드라이버 노드가 낮은 PageRank 노드인 경향이 있는 반면 소수의 드라이버 노드만이 높은 PageRank 노드인 경향이 있습니다.
Guang-Hua SONG
Zhejiang University
Xin-Feng LI
Zhejiang University
Zhe-Ming LU
Zhejiang University
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부
Guang-Hua SONG, Xin-Feng LI, Zhe-Ming LU, "How Centrality of Driver Nodes Affects Controllability of Complex Networks" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 8, pp. 1340-1348, August 2021, doi: 10.1587/transinf.2020EDP7238.
Abstract: Recently, the controllability of complex networks has become a hot topic in the field of network science, where the driver nodes play a key and central role. Therefore, studying their structural characteristics is of great significance to understand the underlying mechanism of network controllability. In this paper, we systematically investigate the nodal centrality of driver nodes in controlling complex networks, we find that the driver nodes tend to be low in-degree but high out-degree nodes, and most of driver nodes tend to have low betweenness centrality but relatively high closeness centrality. We also find that the tendencies of driver nodes towards eigenvector centrality and Katz centrality show very similar behaviors, both high eigenvector centrality and high Katz centrality are avoided by driver nodes. Finally, we find that the driver nodes towards PageRank centrality demonstrate a polarized distribution, i.e., the vast majority of driver nodes tend to be low PageRank nodes whereas only few driver nodes tend to be high PageRank nodes.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDP7238/_p
부
@ARTICLE{e104-d_8_1340,
author={Guang-Hua SONG, Xin-Feng LI, Zhe-Ming LU, },
journal={IEICE TRANSACTIONS on Information},
title={How Centrality of Driver Nodes Affects Controllability of Complex Networks},
year={2021},
volume={E104-D},
number={8},
pages={1340-1348},
abstract={Recently, the controllability of complex networks has become a hot topic in the field of network science, where the driver nodes play a key and central role. Therefore, studying their structural characteristics is of great significance to understand the underlying mechanism of network controllability. In this paper, we systematically investigate the nodal centrality of driver nodes in controlling complex networks, we find that the driver nodes tend to be low in-degree but high out-degree nodes, and most of driver nodes tend to have low betweenness centrality but relatively high closeness centrality. We also find that the tendencies of driver nodes towards eigenvector centrality and Katz centrality show very similar behaviors, both high eigenvector centrality and high Katz centrality are avoided by driver nodes. Finally, we find that the driver nodes towards PageRank centrality demonstrate a polarized distribution, i.e., the vast majority of driver nodes tend to be low PageRank nodes whereas only few driver nodes tend to be high PageRank nodes.},
keywords={},
doi={10.1587/transinf.2020EDP7238},
ISSN={1745-1361},
month={August},}
부
TY - JOUR
TI - How Centrality of Driver Nodes Affects Controllability of Complex Networks
T2 - IEICE TRANSACTIONS on Information
SP - 1340
EP - 1348
AU - Guang-Hua SONG
AU - Xin-Feng LI
AU - Zhe-Ming LU
PY - 2021
DO - 10.1587/transinf.2020EDP7238
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2021
AB - Recently, the controllability of complex networks has become a hot topic in the field of network science, where the driver nodes play a key and central role. Therefore, studying their structural characteristics is of great significance to understand the underlying mechanism of network controllability. In this paper, we systematically investigate the nodal centrality of driver nodes in controlling complex networks, we find that the driver nodes tend to be low in-degree but high out-degree nodes, and most of driver nodes tend to have low betweenness centrality but relatively high closeness centrality. We also find that the tendencies of driver nodes towards eigenvector centrality and Katz centrality show very similar behaviors, both high eigenvector centrality and high Katz centrality are avoided by driver nodes. Finally, we find that the driver nodes towards PageRank centrality demonstrate a polarized distribution, i.e., the vast majority of driver nodes tend to be low PageRank nodes whereas only few driver nodes tend to be high PageRank nodes.
ER -