会议信息

CAOS 2019: IEEE INFOCOM Workshop on the Communications and Networking Aspects of Online Social Networks

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截稿日期:
2018-12-30
通知日期:
2019-02-22
会议日期:
2019-04-29
会议地点:
Paris, France
届数:
1
浏览: 15108   关注: 0   参加: 0
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会议传承 (20%)
19
社区关注 (10%)
8
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25

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置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-07

征稿

CAOS 2019 (IEEE INFOCOM Workshop on the Communications and Networking Aspects of Online Social Networks) is an academic conference held in Paris, France on 2019-04-29. The paper submission deadline is 2018-12-30. Acceptance notifications are sent on 2019-02-22.

Overview CAOS aims to provide a reference forum targeted not only to the community of researcher working on networking technologies for OSN, but it aims at engaging a multidisciplinary community of researchers working at the intersection between computer networking, complex networks, Big Data analytics, focusing on network technologies and abstractions for OSN. Therefore, the workshop also welcomes submissions applying a wide range of (computer- and network-science) techniques and tools to OSN for investigating the properties and roles of the network of (online) social relationships in the various sectors of the society (e.g., politics, economics, finance, health, entertainment). Topics include, but are not limited to: Communications challenges in OSNs Platforms, protocols and applications for OSNs Decentralized, mobile and location-based OSNs Trust, reputation, privacy and security in OSNs Adversarial-aware analysis of OSN data Dynamics of trends, information and opinion diffusion in OSNs Recommendations and advertising in OSNs Social Search in OSNs Measurement, analysis and modeling of popular online social networks BigData analysis of OSNs seen as complex networked systems Information extraction and search in OSNs Complex-network analysis of OSNs Measurement, analysis and modeling of networked users' behavior through OSNs data Analysis of the use of OSNs in the urban context Network challenges of crowdsourcing is OSNs Network challenges in multidisciplinary applications of OSNs (economics, medicine, society, politics, homeland security, etc.) AI technologies applied to OSNs modeling and analysis
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