In online social networks(OSN),they generate several specific user activities daily,corresponding to the billions of data points shared.However,although users exhibit significant interest in social media,they are uninte...In online social networks(OSN),they generate several specific user activities daily,corresponding to the billions of data points shared.However,although users exhibit significant interest in social media,they are uninterested in the content,discussions,or opinions available on certain sites.Therefore,this study aims to identify influential communities and understand user behavior across networks in the information diffusion process.Social media platforms,such as Facebook and Twitter,extract data to analyze the information diffusion process,based on which they cascade information among the individuals in the network.Therefore,this study proposes an influential information diffusion model that identifies influential communities across these two social media sites.More-over,it addresses site migration by visualizing a set of overlapping communities using hyper-edge detection.Thus,the overlapping community structure is used to identify similar communities with identical user interests.Furthermore,the com-munity structure helps in determining the node activation and user influence from the information cascade model.Finally,the Fraction of Intra/Inter-Layer(FIL)dif-fusion score is used to evaluate the efficiency of the influential information diffu-sion model by analyzing the trending influential communities in a multilayer network.However,from the experimental result,it observes that the FIL diffusion score for the proposed method achieves better results in terms of accuracy,preci-sion,recall and efficiency of community detection than the existing methods.展开更多
This paper focuses on addressing the problem of web service monitoring by evaluating its suitability and privacy in a distributed web service environment(DWS).The need for web services monitoring and evaluation is nec...This paper focuses on addressing the problem of web service monitoring by evaluating its suitability and privacy in a distributed web service environment(DWS).The need for web services monitoring and evaluation is necessary because the quantity and quality of retrieved web services generally does not fulfill the demands or requirements of the web service requesters.In the literature,many authors proposed suitable solutions for checking the quality of web service in an ad hoc scenario but there is no available testbed for this purpose.In this work,it is proposed to develop a framework as a testbed for evaluating the web service for its suitability and privacy.In order to verify,the retrieved web services fulfill the demands and requirements of the requester in a DWS environment.The Framework to Evaluate the Web Service Suitability(FEWSS)supports service providers in modeling the services with testbed and to design service behavior to comply the service suitability.It generates run-time instances of web services,client’s requests,service registries and other entities in order to emulate realistic SOA environments.By generating a real testbed,our approach assists in runtime test for provider system/services.Particular focus has been put on the privacy policy extensibility to allow the service providers and users in a complex environment.FEWSS also provides an intuitive interface for testing all services under SOA control.展开更多
基金This publication is an outcome of the R&D work undertaken in the project under the Visvesvaraya Ph.D.Scheme of the Ministry of Electronics and Information Technology,Government of India,being implemented by Digital India Corporation(formerly Media Lab Asia).
文摘In online social networks(OSN),they generate several specific user activities daily,corresponding to the billions of data points shared.However,although users exhibit significant interest in social media,they are uninterested in the content,discussions,or opinions available on certain sites.Therefore,this study aims to identify influential communities and understand user behavior across networks in the information diffusion process.Social media platforms,such as Facebook and Twitter,extract data to analyze the information diffusion process,based on which they cascade information among the individuals in the network.Therefore,this study proposes an influential information diffusion model that identifies influential communities across these two social media sites.More-over,it addresses site migration by visualizing a set of overlapping communities using hyper-edge detection.Thus,the overlapping community structure is used to identify similar communities with identical user interests.Furthermore,the com-munity structure helps in determining the node activation and user influence from the information cascade model.Finally,the Fraction of Intra/Inter-Layer(FIL)dif-fusion score is used to evaluate the efficiency of the influential information diffu-sion model by analyzing the trending influential communities in a multilayer network.However,from the experimental result,it observes that the FIL diffusion score for the proposed method achieves better results in terms of accuracy,preci-sion,recall and efficiency of community detection than the existing methods.
基金the Research Projects sponsored under the Major Project Scheme,UGC,India,Reference Nos:F.No.40-258/2011(SR)。
文摘This paper focuses on addressing the problem of web service monitoring by evaluating its suitability and privacy in a distributed web service environment(DWS).The need for web services monitoring and evaluation is necessary because the quantity and quality of retrieved web services generally does not fulfill the demands or requirements of the web service requesters.In the literature,many authors proposed suitable solutions for checking the quality of web service in an ad hoc scenario but there is no available testbed for this purpose.In this work,it is proposed to develop a framework as a testbed for evaluating the web service for its suitability and privacy.In order to verify,the retrieved web services fulfill the demands and requirements of the requester in a DWS environment.The Framework to Evaluate the Web Service Suitability(FEWSS)supports service providers in modeling the services with testbed and to design service behavior to comply the service suitability.It generates run-time instances of web services,client’s requests,service registries and other entities in order to emulate realistic SOA environments.By generating a real testbed,our approach assists in runtime test for provider system/services.Particular focus has been put on the privacy policy extensibility to allow the service providers and users in a complex environment.FEWSS also provides an intuitive interface for testing all services under SOA control.
