DocumentCode :
3716527
Title :
The Impact of Heterogeneous Spreading Abilities of Network Ties on Information Spreading
Author :
Chengeng Ou;Xiaolong Jin;Yuanzhuo Wang;Wei Chen;Xueqi Cheng
Author_Institution :
Key Lab. of Network Data Sci. &
fYear :
2015
Firstpage :
454
Lastpage :
460
Abstract :
Understanding the dynamics of information spreading over social networks has been of great interest for a long time. It has been convincingly demonstrated that the topology of a network can significantly affect information spreading over it. Information spreading is often compared on small-world networks and random networks. In this paper, we find that the heterogeneity of spreading abilities of network ties can lead to completely different spreading results over small-world and random networks. In more detail, the more heterogeneous the spreading abilities of network ties, the lower the efficiency of information spreading over small-world networks. Moreover, such heterogeneity not only slows down the spreading pace, but also lengthens the life span of the information spread over small-world networks. On the contrary, if the spreading abilities of network ties are similar or equal, small-world networks are much better than random networks for information spreading.
Keywords :
"Mathematical model","Computational modeling","Social network services","Network topology","Computers","Topology","Silicon"
Publisher :
ieee
Conference_Titel :
Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/CIT/IUCC/DASC/PICOM.2015.65
Filename :
7363106
Link To Document :
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