{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T04:22:17Z","timestamp":1773030137185,"version":"3.50.1"},"reference-count":53,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T00:00:00Z","timestamp":1754438400000},"content-version":"vor","delay-in-days":217,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFB3900900"],"award-info":[{"award-number":["2021YFB3900900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>Nodes are important elements of the cyberspace skeleton map visualization process. However, the quality parameters of the node importance index and topological potential index are difficult to obtain, and skeleton map visualization rarely accounts for the spatial distribution characteristics of nodes. The index synthesis and cluster distribution methods are adopted to solve these problems in this paper. The results are as follows: (1) According to the SIR propagation model, the maximum numbers of recoveries and infections for both the ARPA network and social network equal the TPDomiH maximum, and the TPDomiH index has the largest correlation coefficient. All the results show that the proposed TPDomiH index has certain advantages. (2) Regarding the center, the clustering results obtained for a social network are almost unchanged, whereas the original results exhibit large changes. For the center of gravity, the clustering results decrease gradually. The differences relative to the original results are small. With respect to the information entropy and the maximum amount of geometric information, the clustering results are larger than the original results. As the retention ratio increases, all the differences between the clustering results and the original results gradually narrow. These results indicate that the cyberspace skeleton map obtained after clustering is better than the original map. This research can provide a reference for the development of the field of cyberspace map visualization.<\/jats:p>","DOI":"10.1155\/cplx\/2150191","type":"journal-article","created":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T10:21:02Z","timestamp":1754475662000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cyberspace Skeleton Map Visualization Considering Node Quality Correction and Spatial Distribution Characteristics"],"prefix":"10.1155","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-2941-0449","authenticated-orcid":false,"given":"Shuai","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yixin","family":"Hua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,8,6]]},"reference":[{"key":"e_1_2_10_1_2","first-page":"1","article-title":"Define Cyberspace Security","volume":"4","author":"Fang B.","year":"2018","journal-title":"Chinese Journal of Network and Information Security"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/0378-8733(78)90021-7"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2017.2763951"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1006-7043.201105094"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1360\/972013-1280"},{"key":"e_1_2_10_6_2","volume-title":"Evaluating the Importance of Nodes in Social Networks Based on Topology Potential","author":"Wang J.","year":"2015"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05090-0_35"},{"key":"e_1_2_10_8_2","unstructured":"LiT. AnL. ZengC. WangC. LuoJ. andZhangY. Identifying Key Nodes via GAT and Topological Potential Proceedings of the 2021 Chinese Automation Conference 2021 308\u2013312 https:\/\/doi.org\/10.26914\/c.cnkihy.2021.053522."},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11582-9"},{"key":"e_1_2_10_10_2","first-page":"1157","article-title":"User Influence Inference of Online Social Network Based on Topology Potential and Factor Graph","volume":"45","author":"Zhang H.","year":"2024","journal-title":"Journal of Chinese Computer Systems"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.12082\/dqxxkx.2021.210397"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1000-3428.2016.05.054"},{"key":"e_1_2_10_13_2","first-page":"1869","article-title":"Node Importance Evaluation Method Based on Neighborhood Hierarchical Distribution Gravity Model","volume":"43","author":"Xiong C.","year":"2023","journal-title":"Acta Mathematica Scientia, SeriesA"},{"key":"e_1_2_10_14_2","first-page":"80","article-title":"Identifying Critical Nodes of Collaboration Networks Based on Improved K-Shell Decomposition","volume":"8","author":"Zhang D.","year":"2024","journal-title":"Data Analysis and Knowledge Discovery"},{"key":"e_1_2_10_15_2","first-page":"1320","article-title":"Node Importance Measurement Method of Command Information System for Resilience","volume":"46","author":"Yue D.","year":"2024","journal-title":"Systems Engineering and Electronics"},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.23919\/jcc.2023.00.036"},{"key":"e_1_2_10_17_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-44257-0"},{"key":"e_1_2_10_18_2","volume-title":"Origins and Consequences of Long Ties in Social Networks","author":"Jahani E.","year":"2022"},{"key":"e_1_2_10_19_2","doi-asserted-by":"publisher","DOI":"10.1038\/S42005-022-00863-W"},{"key":"e_1_2_10_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2024.3349407"},{"key":"e_1_2_10_21_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41893-024-01292-z"},{"key":"e_1_2_10_22_2","doi-asserted-by":"publisher","DOI":"10.1038\/27546"},{"key":"e_1_2_10_23_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1065547"},{"key":"e_1_2_10_24_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.308.5723.813"},{"key":"e_1_2_10_25_2","doi-asserted-by":"publisher","DOI":"10.13245\/j.hust.240501"},{"key":"e_1_2_10_26_2","volume-title":"Research on Modeling and Visualization Methods of Social Cyberspace Spatio-Temporal Entities","author":"Chen Y.","year":"2022"},{"key":"e_1_2_10_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2016.2632998"},{"key":"e_1_2_10_28_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/8604132"},{"key":"e_1_2_10_29_2","doi-asserted-by":"publisher","DOI":"10.4018\/ijdwm.2020070108"},{"key":"e_1_2_10_30_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/7643290"},{"key":"e_1_2_10_31_2","first-page":"1797","article-title":"Scale-Free and Hot Spot Analyses of the Spatial Network and its Communities Based on the Social Media Check-In Data","volume":"13","author":"Yu X.","year":"2018","journal-title":"China Science Paper."},{"key":"e_1_2_10_32_2","volume-title":"Social Network Community Detection Based on Local Features","author":"Gao F.","year":"2022"},{"key":"e_1_2_10_33_2","doi-asserted-by":"publisher","DOI":"10.3321\/j.issn:1001-1595.2004.01.002"},{"key":"e_1_2_10_34_2","doi-asserted-by":"publisher","DOI":"10.11821\/dlxb201909001"},{"key":"e_1_2_10_35_2","first-page":"852","article-title":"Residential Area Selection Method From the Perspective of Complex Network","volume":"52","author":"L\u00fc Z.","year":"2023","journal-title":"Acta Geodaetica et Cartographica Sinica"},{"key":"e_1_2_10_36_2","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1673-6338.2019.06.013"},{"key":"e_1_2_10_37_2","volume-title":"Research on the Technologies of Expression and Analysis for the Cyberspace Surveying and Mapping","author":"Zhang L.","year":"2018"},{"key":"e_1_2_10_38_2","doi-asserted-by":"publisher","DOI":"10.19358\/j.issn.2096-5133.2019.05.001"},{"key":"e_1_2_10_39_2","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.1089.2020.18017"},{"key":"e_1_2_10_40_2","volume-title":"Research on the Method and Technology of Cyberspace Relation and Node Map Information Visualization","author":"Wang Y.","year":"2020"},{"key":"e_1_2_10_41_2","volume-title":"Graphic symbol design and multi-scale visualization model construction of cyberspace resources","author":"Wang X.","year":"2023"},{"key":"e_1_2_10_42_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18321-y"},{"key":"e_1_2_10_43_2","doi-asserted-by":"crossref","unstructured":"ChoE. MyersS. andLeskovecJ. Friendship and Mobility: User Movement in Location-Based Social Networks Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2011.","DOI":"10.1145\/2020408.2020579"},{"key":"e_1_2_10_44_2","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.1047.2017.01142"},{"key":"e_1_2_10_45_2","unstructured":"MartinE. HansK. JiirgS. andXiaoX. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases With Noise Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 1996."},{"key":"e_1_2_10_46_2","first-page":"45","article-title":"Traversal Path Planning for Farmland in Hilly Areas Based on Floyd and Improved Genetic Algorithm","volume":"5","author":"Zhou L.","year":"2023","journal-title":"Smart Agriculture"},{"key":"e_1_2_10_47_2","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1672-4623.2024.03.023"},{"key":"e_1_2_10_48_2","doi-asserted-by":"publisher","DOI":"10.1080\/0022250x.1972.9989806"},{"key":"e_1_2_10_49_2","article-title":"Identification of Important Nodes in Complex Networks Based on Node Influence Factor and Contribution Factor","volume":"1","author":"Sun W.","year":"2024","journal-title":"Complex Systems and Complexity Science"},{"key":"e_1_2_10_50_2","volume-title":"Research on Quantity Measurement of Basic Geographic Information in Topographic Database","author":"Wang H.","year":"2010"},{"key":"e_1_2_10_51_2","volume-title":"Identification of Influential Nodes in Complex Networks Based on Neighborhood Coverage","author":"Ye S.","year":"2023"},{"key":"e_1_2_10_52_2","first-page":"49","article-title":"Design of Nodes Importance Assessment Method for Complex Network Based on Neighborhood Information","volume":"8","author":"Li X.","year":"2024","journal-title":"Chinese Journal on Internet of Things"},{"key":"e_1_2_10_53_2","first-page":"2337","article-title":"Identifying Influential Nodes of Complex Networks Based on Trust-Value","volume":"40","author":"Wang B.","year":"2019","journal-title":"Journal of Chinese Computer Systems"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/cplx\/2150191","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1155\/cplx\/2150191","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/cplx\/2150191","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T03:47:47Z","timestamp":1773028067000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/cplx\/2150191"}},"subtitle":[],"editor":[{"given":"Hassan","family":"Zargarzadeh","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":53,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["10.1155\/cplx\/2150191"],"URL":"https:\/\/doi.org\/10.1155\/cplx\/2150191","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]},"assertion":[{"value":"2024-10-28","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-07-16","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-08-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2150191"}}