{"title":"正向和反向线性阈值排序","authors":"M. Blesa, Pau García-Rodríguez, M. Serna","doi":"10.1145/3487351.3488355","DOIUrl":null,"url":null,"abstract":"We propose the FwLTR and BwLTR, two new centrality measures based on the Linear Threshold model. In contrast to the Linear Threshold rank (LTR), these measures differentiate between the incoming and the outgoing neighborhoods of the activation set that initiates the spreading process. Their rankings are distinguishable from the rest of the centrality measures considered traditionally. However, LTR and BwLTR behave quite similarly, while FwLTR is clearly different.","PeriodicalId":320904,"journal":{"name":"Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Forward and backward linear threshold ranks\",\"authors\":\"M. Blesa, Pau García-Rodríguez, M. Serna\",\"doi\":\"10.1145/3487351.3488355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose the FwLTR and BwLTR, two new centrality measures based on the Linear Threshold model. In contrast to the Linear Threshold rank (LTR), these measures differentiate between the incoming and the outgoing neighborhoods of the activation set that initiates the spreading process. Their rankings are distinguishable from the rest of the centrality measures considered traditionally. However, LTR and BwLTR behave quite similarly, while FwLTR is clearly different.\",\"PeriodicalId\":320904,\"journal\":{\"name\":\"Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3487351.3488355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3487351.3488355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose the FwLTR and BwLTR, two new centrality measures based on the Linear Threshold model. In contrast to the Linear Threshold rank (LTR), these measures differentiate between the incoming and the outgoing neighborhoods of the activation set that initiates the spreading process. Their rankings are distinguishable from the rest of the centrality measures considered traditionally. However, LTR and BwLTR behave quite similarly, while FwLTR is clearly different.
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