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Athina Markopoulou
Researcher at University of California, Irvine
Publications - 186
Citations - 8092
Athina Markopoulou is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Linear network coding & Network packet. The author has an hindex of 44, co-authored 176 publications receiving 7640 citations. Previous affiliations of Athina Markopoulou include École Polytechnique Fédérale de Lausanne & AT&T.
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Proceedings ArticleDOI
Walking in Facebook: A Case Study of Unbiased Sampling of OSNs
TL;DR: The goal in this paper is to obtain a representative (unbiased) sample of Facebook users by crawling its social graph using several candidate techniques, and introduces online formal convergence diagnostics to assess sample quality during the data collection process.
Proceedings ArticleDOI
Characterization of failures in an IP backbone
Athina Markopoulou,Gianluca Iannaccone,Supratik Bhattacharyya,Chen-Nee Chuah,Christophe Diot +4 more
TL;DR: The classification of failures according to different causes reveals the nature and extent of failures in today's IP backbones and can be used to develop a probabilistic failure model, which is important for various traffic engineering problems.
Journal ArticleDOI
Characterization of failures in an operational IP backbone network
Athina Markopoulou,Gianluca Iannaccone,Supratik Bhattacharyya,Chen-Nee Chuah,Yashar Ganjali,Christophe Diot +5 more
TL;DR: The authors' classification of failures reveals the nature and extent of failures in the Sprint IP backbone and provides a probabilistic failure model, which can be used to generate realistic failure scenarios, as input to various network design and traffic engineering problems.
Journal ArticleDOI
Practical Recommendations on Crawling Online Social Networks
TL;DR: This paper develops a practical framework for obtaining a uniform sample of users in an online social network by crawling its social graph by considering and comparing several candidate crawling techniques and introduces online formal convergence diagnostics to assess sample quality during the data collection process.
Journal ArticleDOI
MicroCast: cooperative video streaming on smartphones
TL;DR: Today’s smartphones are equipped with significant processing, storage and sensing capabilities, as well as wireless connectivity through cellular, WiFi and Bluetooth, and enable a plethora of new applications.