Observation of Matthew effects in Sina Weibo microblogger

Mengmeng Yang; Yi Zhou; Qu Zhou; Kai Chen; Jianhua He; Xiaokang Yang

doi:10.1109/BigData.2013.6691796

Observation of Matthew effects in Sina Weibo microblogger

Mengmeng Yang, Yi Zhou^*, Qu Zhou, Kai Chen, Jianhua He, Xiaokang Yang

^*Corresponding author for this work

Adaptive Communications Networks Research Group

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

This paper researches on Matthew Effect in Sina Weibo microblogger. We choose the microblogs in the ranking list of Hot Microblog App in Sina Weibo microblogger as target of our study. The differences of repost number of microblogs in the ranking list between before and after the time when it enter the ranking list of Hot Microblog app are analyzed. And we compare the spread features of the microblogs in the ranking list with those hot microblogs not in the list and those ordinary microblogs of users who have some microblog in the ranking list before. Our study proves the existence of Matthew Effect in social network.

Original language	English
Title of host publication	Proceedings : 2013 IEEE International Conference on Big Data
Editors	Xiaohua Hu, Tsau Young Lin, Vijay Raghavan, et al
Place of Publication	Piscataway, NJ (US)
Publisher	IEEE
Pages	41-43
Number of pages	3
ISBN (Print)	978-1-4799-1292-6, 978-1-4799-1293-3
DOIs	https://doi.org/10.1109/BigData.2013.6691796
Publication status	Published - 2013
Event	1st IEEE international conference on Big Data 2013 - Santa Clara, CA, United States Duration: 6 Oct 2013 → 9 Oct 2013

Conference

Conference	1st IEEE international conference on Big Data 2013
Abbreviated title	IEEE BigData 2013
Country/Territory	United States
City	Santa Clara, CA
Period	6/10/13 → 9/10/13

Access to Document

10.1109/BigData.2013.6691796

Cite this

@inproceedings{b55f0c04f4574c7b826b7cf8aaccbdb2,

title = "Observation of Matthew effects in Sina Weibo microblogger",

abstract = "This paper researches on Matthew Effect in Sina Weibo microblogger. We choose the microblogs in the ranking list of Hot Microblog App in Sina Weibo microblogger as target of our study. The differences of repost number of microblogs in the ranking list between before and after the time when it enter the ranking list of Hot Microblog app are analyzed. And we compare the spread features of the microblogs in the ranking list with those hot microblogs not in the list and those ordinary microblogs of users who have some microblog in the ranking list before. Our study proves the existence of Matthew Effect in social network.",

author = "Mengmeng Yang and Yi Zhou and Qu Zhou and Kai Chen and Jianhua He and Xiaokang Yang",

year = "2013",

doi = "10.1109/BigData.2013.6691796",

language = "English",

isbn = "978-1-4799-1292-6",

pages = "41--43",

editor = "Xiaohua Hu and Lin, {Tsau Young} and Vijay Raghavan and {et al}",

booktitle = "Proceedings : 2013 IEEE International Conference on Big Data",

publisher = "IEEE",

address = "United States",

note = "1st IEEE international conference on Big Data 2013, IEEE BigData 2013 ; Conference date: 06-10-2013 Through 09-10-2013",

}

Yang, M, Zhou, Y, Zhou, Q, Chen, K, He, J & Yang, X 2013, Observation of Matthew effects in Sina Weibo microblogger. in X Hu, TY Lin, V Raghavan & et al (eds), Proceedings : 2013 IEEE International Conference on Big Data. IEEE, Piscataway, NJ (US), pp. 41-43, 1st IEEE international conference on Big Data 2013, Santa Clara, CA, United States, 6/10/13. https://doi.org/10.1109/BigData.2013.6691796

TY - GEN

T1 - Observation of Matthew effects in Sina Weibo microblogger

AU - Yang, Mengmeng

AU - Zhou, Yi

AU - Zhou, Qu

AU - Chen, Kai

AU - He, Jianhua

AU - Yang, Xiaokang

PY - 2013

Y1 - 2013

N2 - This paper researches on Matthew Effect in Sina Weibo microblogger. We choose the microblogs in the ranking list of Hot Microblog App in Sina Weibo microblogger as target of our study. The differences of repost number of microblogs in the ranking list between before and after the time when it enter the ranking list of Hot Microblog app are analyzed. And we compare the spread features of the microblogs in the ranking list with those hot microblogs not in the list and those ordinary microblogs of users who have some microblog in the ranking list before. Our study proves the existence of Matthew Effect in social network.

AB - This paper researches on Matthew Effect in Sina Weibo microblogger. We choose the microblogs in the ranking list of Hot Microblog App in Sina Weibo microblogger as target of our study. The differences of repost number of microblogs in the ranking list between before and after the time when it enter the ranking list of Hot Microblog app are analyzed. And we compare the spread features of the microblogs in the ranking list with those hot microblogs not in the list and those ordinary microblogs of users who have some microblog in the ranking list before. Our study proves the existence of Matthew Effect in social network.

UR - http://www.scopus.com/inward/record.url?scp=84893290718&partnerID=8YFLogxK

U2 - 10.1109/BigData.2013.6691796

DO - 10.1109/BigData.2013.6691796

M3 - Conference publication

AN - SCOPUS:84893290718

SN - 978-1-4799-1292-6

SN - 978-1-4799-1293-3

SP - 41

EP - 43

BT - Proceedings : 2013 IEEE International Conference on Big Data

A2 - Hu, Xiaohua

A2 - Lin, Tsau Young

A2 - Raghavan, Vijay

A2 - et al,

PB - IEEE

CY - Piscataway, NJ (US)

T2 - 1st IEEE international conference on Big Data 2013

Y2 - 6 October 2013 through 9 October 2013

ER -

Observation of Matthew effects in Sina Weibo microblogger

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this