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Exploring the heterogeneity of social media: dataset and a pilot study

Published: 19 August 2015 Publication History

Abstract

Social media has exploded beyond anyone's wildest imagination, and User Generated Content (UGC) is propagated online at an un-paralleled level. Organizing and associating the heterogeneous UGC data in different social media networks is playing a more and more important role in comprehensive user modeling and social media applications. Since social media data are essentially user-centric, which are generated from user and customized for user, we introduce a user-centric dataset to analyze and exploit the social media heterogeneity, which involves with six popular social media networks and 180,000 overlapped users. A pilot study on the collected dataset is conducted to demonstrate the limitations of traditional content-centric metrics in analyzing the cross-OSN data. Finally, we conclude this work with discussions on the potentials of user-centric framework for cross-OSN organization and association.

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    cover image ACM Other conferences
    ICIMCS '15: Proceedings of the 7th International Conference on Internet Multimedia Computing and Service
    August 2015
    397 pages
    ISBN:9781450335287
    DOI:10.1145/2808492
    • General Chairs:
    • Ramesh Jain,
    • Shuqiang Jiang,
    • Program Chairs:
    • John Smith,
    • Jitao Sang,
    • Guohui Li
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

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    Published: 19 August 2015

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    1. cross-OSN
    2. heterogeneity
    3. social media

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    ICIMCS '15 Paper Acceptance Rate 20 of 128 submissions, 16%;
    Overall Acceptance Rate 163 of 456 submissions, 36%

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    • (2016)The disappearance of MH370 and the search operations — The role of technology and emerging research challengesIEEE Aerospace and Electronic Systems Magazine10.1109/MAES.2016.15006531:3(6-16)Online publication date: Mar-2016

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