TY - GEN
T1 - Information propagation in online social networks based on user behavior
AU - Li, Niu
AU - Han, Xiaoting
PY - 2012
Y1 - 2012
N2 - Along with the development of Internet and Web2.0, online social networks (OSNs) are becoming an important information propagation platform. Therefore, it is of great significance to study the information propagation rules in OSNs. An information propagation model named IP-OSN is proposed in this paper, and some simulation experiments are carried out to investigate the mechanism of information propagation. From the experimental results, we can see that along with the information propagation, the number of known nodes increases and reaches its maximum, then keep an unchanging status. Moreover, from the user behavior aspect, we find that different user behavior in OSNs causes different information propagation results, the more users who are willing to diffuse information, the more scope the information can propagate and the faster the information diffuses. Findings in this paper are meaningful for theory of information propagation and complex networks.
AB - Along with the development of Internet and Web2.0, online social networks (OSNs) are becoming an important information propagation platform. Therefore, it is of great significance to study the information propagation rules in OSNs. An information propagation model named IP-OSN is proposed in this paper, and some simulation experiments are carried out to investigate the mechanism of information propagation. From the experimental results, we can see that along with the information propagation, the number of known nodes increases and reaches its maximum, then keep an unchanging status. Moreover, from the user behavior aspect, we find that different user behavior in OSNs causes different information propagation results, the more users who are willing to diffuse information, the more scope the information can propagate and the faster the information diffuses. Findings in this paper are meaningful for theory of information propagation and complex networks.
KW - Information Propagation/Diffusion
KW - Online Social Networks
KW - User Behavior
UR - https://www.scopus.com/pages/publications/84867629605
U2 - 10.1007/978-3-642-34062-8_3
DO - 10.1007/978-3-642-34062-8_3
M3 - 会议稿件
AN - SCOPUS:84867629605
SN - 9783642340611
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 23
EP - 30
BT - Information Computing and Applications - Third International Conference, ICICA 2012, Proceedings
T2 - 3rd International Conference on Information Computing and Applications, ICICA 2012
Y2 - 14 September 2012 through 16 September 2012
ER -