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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 31, Number 3(3) (2019)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 981-991
S&M1829 Research Paper of Special Issue https://doi.org/10.18494/SAM.2019.2222 Published: March 29, 2019 Analysis of Differences in User Behavior Based on a Variety of Online Social Networks [PDF] Fenglian Jiang, Wencan Tong, and Liming Huang (Received November 23, 2018; Accepted February 19, 2019) Keywords: social network, user behavior, mass data
The development of the Internet and various communication technologies has led to novel innovations, with a variety of social networks and smart terminals prevailing, which has created a vast amount of real data for analyzing and predicting user behaviors. Here, we will analyze and compare multiple online social networks and related user behaviors, giving an introduction to important research from related fields. We will create a model for the analysis of differences in user behavior based on a comparison of multiple online social networks. Differences in user behavior will also be shown on the basis of this model.
Corresponding author: Fenglian Jiang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Fenglian Jiang, Wencan Tong, and Liming Huang, Analysis of Differences in User Behavior Based on a Variety of Online Social Networks, Sens. Mater., Vol. 31, No. 3, 2019, p. 981-991. |
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