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Titlebook: Link Prediction in Social Networks; Role of Power Law Di Virinchi Srinivas,Pabitra Mitra Book 2016 The Author(s) 2016 Link Prediction.Power

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樓主
發(fā)表于 2025-3-21 17:46:41 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Link Prediction in Social Networks
副標(biāo)題Role of Power Law Di
編輯Virinchi Srinivas,Pabitra Mitra
視頻videohttp://file.papertrans.cn/587/586744/586744.mp4
概述accessible explanation of the role of power law degree distribution in link.Describes arange of link prediction algorithms in an easy-to-understand manner.Discusses the implementation of both the popu
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: Link Prediction in Social Networks; Role of Power Law Di Virinchi Srinivas,Pabitra Mitra Book 2016 The Author(s) 2016 Link Prediction.Power
描述.Thiswork presents link prediction similarity measures for social networks that exploitthe degree distribution of the networks. In the context of link prediction indense networks, the text proposes similarity measures based on Markov inequalitydegree thresholding (MIDTs), which only consider nodes whose degree is above a thresholdfor a possible link. Also presented are similarity measures based on cliques(CNC, AAC, RAC), which assign extra weight between nodes sharing a greater numberof cliques. Additionally, a locally adaptive (LA) similarity measure isproposed that assigns different weights to common nodes based on the degreedistribution of the local neighborhood and the degree distribution of thenetwork. In the context of link prediction in dense networks, the textintroduces a novel two-phase framework that adds edges to the sparse graph toforma boost graph..
出版日期Book 2016
關(guān)鍵詞Link Prediction; Power Law Degree Distribution; Local Neighborhood; Recommender Systems; Graph Mining
版次1
doihttps://doi.org/10.1007/978-3-319-28922-9
isbn_softcover978-3-319-28921-2
isbn_ebook978-3-319-28922-9Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2016
The information of publication is updating

書目名稱Link Prediction in Social Networks影響因子(影響力)




書目名稱Link Prediction in Social Networks影響因子(影響力)學(xué)科排名




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書目名稱Link Prediction in Social Networks網(wǎng)絡(luò)公開度學(xué)科排名




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沙發(fā)
發(fā)表于 2025-3-21 22:20:32 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:01:53 | 只看該作者
https://doi.org/10.1007/978-3-319-28922-9Link Prediction; Power Law Degree Distribution; Local Neighborhood; Recommender Systems; Graph Mining
地板
發(fā)表于 2025-3-22 07:37:44 | 只看該作者
Link Prediction in Social Networks978-3-319-28922-9Series ISSN 2191-5768 Series E-ISSN 2191-5776
5#
發(fā)表于 2025-3-22 10:55:35 | 只看該作者
Introduction,ide range of applications including recommender systems, spam mail classification, identifying domain experts in various research areas, etc. In this chapter, we discuss the prior art in link prediction literature.
6#
發(fā)表于 2025-3-22 13:59:17 | 只看該作者
Conclusion,e not been explicitly exploited in this context. In this book, we deal with link prediction by considering the power law degree distribution of large-scale networks. We summarize our key findings and also discuss possible future directions in the context of link prediction.
7#
發(fā)表于 2025-3-22 20:12:27 | 只看該作者
l tendency of people to be overconfident in their judgements..The need for certitude leads to this type of apparently very well structured, self-consistent and apparently self-evident cognitions called intuitions..But overconfidence is an obstacle to self-control and consequently it may block the wa
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發(fā)表于 2025-3-23 00:32:10 | 只看該作者
9#
發(fā)表于 2025-3-23 01:24:58 | 只看該作者
Virinchi Srinivas,Pabitra Mitral tendency of people to be overconfident in their judgements..The need for certitude leads to this type of apparently very well structured, self-consistent and apparently self-evident cognitions called intuitions..But overconfidence is an obstacle to self-control and consequently it may block the wa
10#
發(fā)表于 2025-3-23 09:28:07 | 只看該作者
Virinchi Srinivas,Pabitra Mitrauition. - To identify and organize the experimental findings related to intuition scattered in a wide variety of research contexts. - To reveal the educational implications of the idea, developed for science and mathematics education. Most of the existing monographs in the field of intuition are mai
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