找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computational Data and Social Networks; 10th International C David Mohaisen,Ruoming Jin Conference proceedings 2021 Springer Nature Switzer

[复制链接]
查看: 17513|回复: 52
发表于 2025-3-21 17:29:57 | 显示全部楼层 |阅读模式
书目名称Computational Data and Social Networks
副标题10th International C
编辑David Mohaisen,Ruoming Jin
视频videohttp://file.papertrans.cn/233/232227/232227.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Data and Social Networks; 10th International C David Mohaisen,Ruoming Jin Conference proceedings 2021 Springer Nature Switzer
描述This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. .The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. .. .
出版日期Conference proceedings 2021
关键词adversarial attacks of network; artificial intelligence; computational methods for social good; compute
版次1
doihttps://doi.org/10.1007/978-3-030-91434-9
isbn_softcover978-3-030-91433-2
isbn_ebook978-3-030-91434-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

书目名称Computational Data and Social Networks影响因子(影响力)




书目名称Computational Data and Social Networks影响因子(影响力)学科排名




书目名称Computational Data and Social Networks网络公开度




书目名称Computational Data and Social Networks网络公开度学科排名




书目名称Computational Data and Social Networks被引频次




书目名称Computational Data and Social Networks被引频次学科排名




书目名称Computational Data and Social Networks年度引用




书目名称Computational Data and Social Networks年度引用学科排名




书目名称Computational Data and Social Networks读者反馈




书目名称Computational Data and Social Networks读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:33:34 | 显示全部楼层
发表于 2025-3-22 01:12:56 | 显示全部楼层
Die beobachteten Eigenschaften der Sterne,dentifiability or unidentifiability of parameters for several special structures including the Markovian IC model, semi-Markovian IC model, and IC model with a global unobserved variable. Parameter identifiability is important for other tasks such as influence maximization under the diffusion networks with unobserved confounding factors.
发表于 2025-3-22 05:38:35 | 显示全部楼层
发表于 2025-3-22 09:05:08 | 显示全部楼层
Conference proceedings 2021easurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. .. .
发表于 2025-3-22 14:11:18 | 显示全部楼层
0302-9743 systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. .. .978-3-030-91433-2978-3-030-91434-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 17:34:30 | 显示全部楼层
Sterne Götter, Mensch und Mythenhe edges with negative labels within clusters. In this paper, we propose the lower bounded correlation clustering problem and formulate the problem as an integer program. Furthermore, we provide two polynomial time algorithms with constant approximate ratios for the lower bounded correlation clustering problem on some special graphs.
发表于 2025-3-22 22:51:16 | 显示全部楼层
https://doi.org/10.1007/978-3-7091-6773-1algorithm, which implements the . approximation of the maximizing unconstrained non-negative weakly-monotone function problem. When ., the algorithm achieves an approximate guarantee of 1/3, achieving the same ratio as the deterministic algorithm for the unconstrained submodular maximization problem.
发表于 2025-3-23 05:03:33 | 显示全部楼层
发表于 2025-3-23 05:47:57 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-26 18:29
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表