An Offline–Online Visual Framework for Clustering Memes in Social Media

Anh Dang; Abidalrahman Moh’d; Anatoliy Gruzd; Evangelos Milios; Rosane Minghim; Abidalrahman Moh'd

doi:10.1007/978-3-319-51367-6_1

An Offline–Online Visual Framework for Clustering Memes in Social Media

Anh Dang, Abidalrahman Moh’d, Anatoliy Gruzd, Evangelos Milios, Rosane Minghim, Abidalrahman Moh'd

Eastern Illinois University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Default journal
DOIs	https://doi.org/10.1007/978-3-319-51367-6_1
State	Published - Jan 1 2017

Disciplines

Computational Linguistics
Computer Sciences
Artificial Intelligence and Robotics

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10.1007/978-3-319-51367-6_1License: Unspecified

Cite this

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title = "An Offline–Online Visual Framework for Clustering Memes in Social Media",

author = "Anh Dang and Abidalrahman Moh{\textquoteright}d and Anatoliy Gruzd and Evangelos Milios and Rosane Minghim and Abidalrahman Moh'd",

note = "Anh Dang Abidalrahman Moh'd Anatoliy Gruzd Evangelos Milios Rosane Minghim Part of the Lecture Notes in Social Networks book series (LNSN) The amount of data generated in Online Social Networks (OSNs) is increasing every day. Extracting and understanding trending topics and events from the vast amount of data is an important area of research in OSNs.",

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AU - Dang, Anh

AU - Moh’d, Abidalrahman

AU - Gruzd, Anatoliy

AU - Milios, Evangelos

AU - Minghim, Rosane

AU - Moh'd, Abidalrahman

N1 - Anh Dang Abidalrahman Moh'd Anatoliy Gruzd Evangelos Milios Rosane Minghim Part of the Lecture Notes in Social Networks book series (LNSN) The amount of data generated in Online Social Networks (OSNs) is increasing every day. Extracting and understanding trending topics and events from the vast amount of data is an important area of research in OSNs.

PY - 2017/1/1

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M3 - Article

JO - Default journal

JF - Default journal

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An Offline–Online Visual Framework for Clustering Memes in Social Media

Disciplines

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