{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T23:38:07Z","timestamp":1781221087947,"version":"3.54.1"},"reference-count":52,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2019,10,10]],"date-time":"2019-10-10T00:00:00Z","timestamp":1570665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2015JBM058"],"award-info":[{"award-number":["2015JBM058"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>In this paper, we propose weighted h-index      h w      and h-index strength      s h      to measure spreading capability and identify the most influential spreaders. Experimental results on twelve real networks reveal that      s h      was more accurate and more monotonic than      h w      and four previous measures in ranking the spreading influence of a node evaluated by the single seed SIR spreading model. We point out that the questions of how to improve monotonicity and how to determine a proper neighborhood range are two interesting future directions.<\/jats:p>","DOI":"10.3390\/sym11101263","type":"journal-article","created":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T03:07:11Z","timestamp":1570763231000},"page":"1263","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Weighted h-index for Identifying Influential Spreaders"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4005-0339","authenticated-orcid":false,"given":"Liang","family":"Gao","sequence":"first","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Senbin","family":"Yu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Menghui","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Institute of Science and Technology Information, Beijing 100048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhesi","family":"Shen","sequence":"additional","affiliation":[{"name":"National Science Library, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyou","family":"Gao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,10,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"098701","DOI":"10.1103\/PhysRevLett.93.098701","article-title":"Cascade control and defense in complex networks","volume":"93","author":"Motter","year":"2004","journal-title":"Phys. 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