Presentation	2018-03-05 Relationship between Retweet and Structure of the Twitter Network Tatsuya Fukushima,
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Abstract(in Japanese)	(See Japanese page)
Abstract(in English)	We collect tweet data to visualize the spread of tweets and find out the relationship between the number of each users' follow and Retweet. The spread of information is similar to SIR model which explain the spread of epidemic. Especially, Degreed Based mean Field Theory, which is one of the theory of developed based on SIR model, suggests that the spread of information depends of network structure and nodes which have the large degree spread the epidemic. However, other researchers indicates that in an SNS network, the timeline restricts you to get fewer information if you follow more users. By analyzing tweet data, we find out that users who follow few friends have a tendency to retweet more.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Twitter / Network / Retweet / R
Paper #	COMP2017-45
Date of Issue	2018-02-26 (COMP)

Conference Information
Committee	COMP
Conference Date	2018/3/5(1days)
Place (in Japanese)	(See Japanese page)
Place (in English)	Osaka Prefecture Univ.
Topics (in Japanese)	(See Japanese page)
Topics (in English)
Chair	Hiro Ito(Univ. of Electro-Comm.)
Vice Chair	Yushi Uno(Osaka Pref. Univ.)
Secretary	Yushi Uno(Seikei Univ.)
Assistant

Paper Information
Registration To	Technical Committee on Theoretical Foundations of Computing
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Relationship between Retweet and Structure of the Twitter Network
Sub Title (in English)
Keyword(1)	Twitter
Keyword(2)	Network
Keyword(3)	Retweet
Keyword(4)	R
1st Author's Name	Tatsuya Fukushima
1st Author's Affiliation	Waseda University(Waseda Univ.)
Date	2018-03-05
Paper #	COMP2017-45
Volume (vol)	vol.117
Number (no)	COMP-474
Page	pp.pp.1-7(COMP),
#Pages	7
Date of Issue	2018-02-26 (COMP)