Efficient Service Discovery Using Social Service Network Based on Big Data Infrastructure

Paik, Incheon; Koshiba, Yutaka; Siriweera, T. H. A. S.

doi:10.1109/mcsoc.2017.9

Cited by 2 publications

(1 citation statement)

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“…The main reason is the method of isolating services. Paik et al (2017) presented an algorithm to create network graphs using the Map-Reduce parallel programming model. The experimental results show that the network generated by Map-Reduce method can solve the heavy computation workload of the network unit.…”

Section: Short Life Cyclementioning

confidence: 99%

State-of-art review of information diffusion models and their impact on social network vulnerabilities

Razaque

Rizvi

Khan

et al. 2022

Journal of King Saud University - Computer and Information Scie

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a b s t r a c tWith the development of information society and network technology, people increasingly depend on information found on the Internet. At the same time, the models of information diffusion on the Internet are changing as well. However, these models experience the problem due to the fast development of network technologies. There is no thorough research in regards to the latest models and their applications and advantages. As a result, it is essential to have a comprehensive study of information diffusion models.The primary goal of this research is to provide a comparative study on the existing models such as the Ising model, Sznajd model, SIR model, SICR model, Game theory and social networking services models. We discuss several of their applications with the existing limitations and further categorizations. Vulnerabilities and privacy challenges of information diffusion models are extensively explored. Furthermore, categorization including strengths and weaknesses are discussed. Finally, limitations and recommendations are suggested with diverse solutions for the improvement of the information diffusion models and envisioned future research directions.

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Section: Short Life Cyclementioning

confidence: 99%