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Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2471-x
Abstract: Social network services are changing the ways in which people use and engage with each other, which have become widely used as an important tool for information sharing in recent years. So it is important…
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Keywords:
network services;
social network;
reputation mechanism;
mechanism ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2818792
Abstract: With the rapid proliferation of the Internet and mobile devices, vast amounts of user-generated content has been accumulated through social network services, and massive amounts of news continues to be created and posted online. In…
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Keywords:
analysis;
news social;
social network;
network services ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2888478
Abstract: In 5G mobile networks, the convergence of cloud computing and communication leads to mobile edge computing, benefiting vehicular networks. However, the advent of a wide variety of new services and devices has changed the vehicular…
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Keywords:
network services;
vehicle network;
edge computing;
mobile edge ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3013597
Abstract: Slicing the 5G core network involves specifying network services according to the functional and quality requirements of typical 5G use cases. In doing so, assessing the scalability and performance of network services plays a leading…
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Keywords:
core network;
performance;
scalability;
core ... See more keywords
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Published in 2022 at "IEEE Network"
DOI: 10.1109/mnet.121.2100323
Abstract: With the rapid advances of multimedia communications and networking technologies, immersive experience (IE) is gradually becoming a promising evaluation paradigm for interactive network services. In contrast with traditional quality of experience (QoE), which is generally…
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Keywords:
network services;
interactive network;
evaluation;
immersive experience ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10155167
Abstract: The objective of this work is to detect the variables that allow organizations to manage their social network services efficiently. The study, applying machine learning algorithms and multiple linear regressions, reveals which aspects of published…
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Keywords:
machine learning;
social network;
applying machine;
network services ... See more keywords