Paper Info
Title
Modeling data dissemination in online social networks: a geographical perspective on bounding network traffic load
Abstract
In this paper, we model the data dissemination in online social networks (OSNs) and study the scaling laws of traffic load. We propose a three-layered system model to formulate data dissemination sessions for social applications in OSNs. The layered model consists of the physical network layer, social relationship layer, and application session layer. By analyzing mutual relevances among these three layers, we investigate the geographical distribution feature of dissemination sessions in OSNs. Based on this, we derive the traffic load of OSNs under a realistic assumption that every source sustains a data generating rate of constant order. To the best of our knowledge, this is the first work to address the issue of traffic load scaling for OSNs by modeling the social data dissemination from a layered perspective.
Year
DOI
Venue
2014
10.1145/2632951.2632973
MobiHoc
Keywords
Field
DocType
traffic load,scaling laws,network topology,network communications,information networks,online social networks,data dissemination
Data modeling,Social network,Traffic load,Computer science,Session layer,Computer network,Dissemination,System model,Scaling law,Distributed computing,Bounding overwatch
Conference
Citations 
PageRank 
References 
10
0.63
22
Authors
6
Name
Order
Citations
PageRank
Cheng Wang128527.81
Tang Shaojie22224157.73
Lei Yang377848.19
Yi Guo41075.19
Fan Li585671.71
Changjun Jiang61350117.57