Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering

Exploring the networks, hot-topics and clusters of big data: evidence from Internet

Authors
Wenjie Zhou, Yu Bai
Corresponding Author
Wenjie Zhou
Available Online October 2016.
DOI
10.2991/jimec-16.2016.102How to use a DOI?
Keywords
big data; networks; hot-topics; clusters; Internet
Abstract

Present study shed light on the networks, hot topics and clusters of big data via Social Network Analysis based on the retrieval of Internet. The findings of this study include: The term 'big data' has strong ties with service, platform, analysis, technology, application and enterprise. The technologies in relate to big data is a hottest topic on Internet nowadays. Internet is both the closest word and the most influential word to big data in the network. 8 clusters were found in the big data network and each cluster showed the specific aspect of big data network. The findings of this study may helpful for both big data related research and business.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-234-3
ISSN
2352-5401
DOI
10.2991/jimec-16.2016.102How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wenjie Zhou
AU  - Yu Bai
PY  - 2016/10
DA  - 2016/10
TI  - Exploring the networks, hot-topics and clusters of big data: evidence from Internet
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 556
EP  - 559
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.102
DO  - 10.2991/jimec-16.2016.102
ID  - Zhou2016/10
ER  -