The evolution of smart mobile devices has significantly impacted the way we generate and share contents and introduced a huge volume of Internet traffic.To address this issue and take advantage of the short-range comm...The evolution of smart mobile devices has significantly impacted the way we generate and share contents and introduced a huge volume of Internet traffic.To address this issue and take advantage of the short-range communication capabilities of smart mobile devices,the decentralized content sharing approach has emerged as a suitable and promising alternative.Decentralized content sharing uses a peer-to-peer network among colocated smart mobile device users to fulfil content requests.Several articles have been published to date to address its different aspects including group management,interest extraction,message forwarding,participation incentive,and content replication.This survey paper summarizes and critically analyzes recent advancements in decentralized content sharing and highlights potential research issues that need further consideration.展开更多
Short messages are an important part of social media network.Besides traditional communications,short messages can also be used for education,entertainment and even business.Nowadays,much work has been devoted to min...Short messages are an important part of social media network.Besides traditional communications,short messages can also be used for education,entertainment and even business.Nowadays,much work has been devoted to mining useful information and knowledge from short messages via classification and clustering approaches.However,in many situations,it is vital to identify some influential users whose messages will result in a large amount of forwarding,these users are called seed users.In this paper,studies on the forwarding behavior of mobile phone users are carried out first,then,a directed graph-based short message forwarding model is setup,together with a“Reverse PageRank”scoring policy.Finally,the forwarding model and scoring policy have been applied to a real short message record dataset from some telecom operator.By some exploratory data analysis of the dataset,parameters of the forwarding model are determined.Experimental results show that the model and the scoring policy are effective in finding out seed users.展开更多
文摘The evolution of smart mobile devices has significantly impacted the way we generate and share contents and introduced a huge volume of Internet traffic.To address this issue and take advantage of the short-range communication capabilities of smart mobile devices,the decentralized content sharing approach has emerged as a suitable and promising alternative.Decentralized content sharing uses a peer-to-peer network among colocated smart mobile device users to fulfil content requests.Several articles have been published to date to address its different aspects including group management,interest extraction,message forwarding,participation incentive,and content replication.This survey paper summarizes and critically analyzes recent advancements in decentralized content sharing and highlights potential research issues that need further consideration.
基金This work is supported by the Chinese National Science Foundation(No.11171117).
文摘Short messages are an important part of social media network.Besides traditional communications,short messages can also be used for education,entertainment and even business.Nowadays,much work has been devoted to mining useful information and knowledge from short messages via classification and clustering approaches.However,in many situations,it is vital to identify some influential users whose messages will result in a large amount of forwarding,these users are called seed users.In this paper,studies on the forwarding behavior of mobile phone users are carried out first,then,a directed graph-based short message forwarding model is setup,together with a“Reverse PageRank”scoring policy.Finally,the forwarding model and scoring policy have been applied to a real short message record dataset from some telecom operator.By some exploratory data analysis of the dataset,parameters of the forwarding model are determined.Experimental results show that the model and the scoring policy are effective in finding out seed users.
