Presentation 2015-02-20
A Mutual Spreading Model Describing Relationship between the Number of People and Tweets
Shinnosuke NAKASHIMA, Masaki ONISHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, the relationship between human activity and SNS posting activity is getting stronger due to growth of SNS. In this study, we focus on Twitter. We propose the mutual spreading model that consists of nodes and links for analyzing relationship between the number of tweets and people. We conduct the verification experiment using measured data for evaluating the model and analyzing relationship between the number of tweets and people. We have confirmed that the average of relative error between measured value and experimental value for number of tweets is about 4%, for number of people is about 11%. These results mean that the mutual spreading model describes statistical relationship between the number of tweets and people. We have confirmed that the relationship between the number of tweets and people varies with the time, as well. In addition, these results have shown that the relationship becomes stronger in particular time.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Twitter / human flow / statistical relationship / regression analysis / graph model
Paper # PRMU2014-148,CNR2014-63
Date of Issue

Conference Information
Committee CNR
Conference Date 2015/2/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Cloud Network Robotics (CNR)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Mutual Spreading Model Describing Relationship between the Number of People and Tweets
Sub Title (in English)
Keyword(1) Twitter
Keyword(2) human flow
Keyword(3) statistical relationship
Keyword(4) regression analysis
Keyword(5) graph model
1st Author's Name Shinnosuke NAKASHIMA
1st Author's Affiliation Japan Advanced Institute of Science and Technology()
2nd Author's Name Masaki ONISHI
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology:Japan Advanced Institute of Science and Technology
Date 2015-02-20
Paper # PRMU2014-148,CNR2014-63
Volume (vol) vol.114
Number (no) 455
Page pp.pp.-
#Pages 6
Date of Issue