Response to the comment on "Identifying critical nodes in complex networks based on distance Laplacian energy"

被引：0
|
作者：
Yin, Rongrong [1 ,2 ]
Li, Linhui [1 ,2 ]
Wang, Yumeng [1 ,2 ]
Lang, Chun [1 ,2 ]
Hao, Zhenyang [1 ,2 ]
Zhang, Le [1 ,2 ]
机构：
[1] Yanshan Univ, Sch Informat Sci & Engn, Qinhuangdao 066004, Peoples R China
[2] Yanshan Univ, Key Lab Special Fiber & Fiber Sensor Hebei Prov, Qinhuangdao 066004, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2024年 / 187卷
关键词：
Complex network; Critical nodes identification; Distance Laplacian energy; CENTRALITY;
D O I：
10.1016/j.chaos.2024.115400
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The following is a point-by-point response to Wang and Sun's comment on "Identifying critical nodes in complex networks based on distance Laplacian energy".
引用
收藏
页数：3
相关论文
共 50 条
  • [31] Identifying Important Nodes in Complex Networks Based on Node Propagation Entropy
    Yu, Yong
    Zhou, Biao
    Chen, Linjie
    Gao, Tao
    Liu, Jinzhuo
    ENTROPY, 2022, 24 (02)
  • [32] A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks
    Zhao, Gouheng
    Jia, Peng
    Huang, Cheng
    Zhou, Anmin
    Fang, Yong
    IEEE ACCESS, 2020, 8 : 65462 - 65471
  • [33] Identifying Influential Nodes of Complex Networks Based on Trust-Value
    Sheng, Jinfang
    Zhu, Jiafu
    Wang, Yayun
    Wang, Bin
    Hou, Zheng'ang
    ALGORITHMS, 2020, 13 (11) : 1 - 15
  • [34] A new method of identifying influential nodes in complex networks based on TOPSIS
    Du, Yuxian
    Gao, Cai
    Hu, Yong
    Mahadevan, Sankaran
    Deng, Yong
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 399 : 57 - 69
  • [35] Identifying Influential Nodes in Complex Networks Based on Neighborhood Entropy Centrality
    Qiu, Liqing
    Zhang, Jianyi
    Tian, Xiangbo
    Zhang, Shuang
    COMPUTER JOURNAL, 2021, 64 (10): : 1465 - 1476
  • [36] Identifying influential nodes in complex networks based on resource allocation similarity
    Ai, Jun
    He, Tao
    Su, Zhan
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 627
  • [37] Identifying influential nodes based on graph signal processing in complex networks
    Jia, Zhao
    Li, Yu
    Li Jing-Ru
    Peng, Zhou
    CHINESE PHYSICS B, 2015, 24 (05)
  • [38] Identifying key nodes based on improved structural holes in complex networks
    Yu, Hui
    Cao, Xi
    Liu, Zun
    Li, Yongjun
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 486 : 318 - 327
  • [39] Critical Nodes Identification in Complex Networks
    Yang, Haihua
    An, Shi
    SYMMETRY-BASEL, 2020, 12 (01):
  • [40] Identifying influential nodes in social networks via improved Laplacian centrality
    Zhu, Xiaoyu
    Hao, Rongxia
    CHAOS SOLITONS & FRACTALS, 2024, 189
12345