Sen_Searching for superspreaders of information in real-world social media

arXiv:1405.1790v1 [physics.soc-ph] 8 May 2014 Searching for superspreaders of information in real-world social media Sen Pei1,2 , Lev Muchnik3 , Jos´ e S. Andrade, Jr.4 , Zhiming Zheng1 , and Hern´ an A. Makse2,4∗ 1 LMIB and School of Mathematics and... More

arXiv:1405.1790v1
[physics.soc-ph]
8
May
2014
Searching for superspreaders of information in real-world social
media
Sen Pei1,2
, Lev Muchnik3
, Jos´
e S. Andrade, Jr.4
, Zhiming Zheng1
, and Hern´
an A. Makse2,4∗
1
LMIB and School of Mathematics and Systems Science,
Beihang University, Beijing, 100191, China
2
Levich Institute and Physics Department,
City College of New York, New York, NY 10031, USA
3
School of Business Administration,
The Hebrew University of Jerusalem, 91905 Israel
4
Departamento de F´
ısica, Universidade Federal do Cear´
a,
60451-970, Fortaleza, Cear´
a, Brazil
∗
e-mail: hmakse@lev.ccny.cuny.edu.
Abstract
A number of predictors have been suggested to detect the most influential spreaders of information in online social media across various domains such as Twitter or Facebook. In particular,
degree, PageRank, k-core and other centralities have been adopted to rank the spreading capability
of users in information dissemination media. So far, validation of the proposed Less