@InCollection{Najafabadi2020, author = {Zahra Najafabadi Samani and Alexander Lercher and Nishant Saurabh and Radu Prodan}, booktitle = {Euro-Par 2019: Parallel Processing Workshops}, publisher = {Springer International Publishing}, title = {{A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications}}, year = {2020}, month = may, number = {11997}, pages = {442--451}, abstract = {With the rapidly increasing popularity of social media applications, decentralized control and ownership is taking more attention topreserve user's privacy. However, the lack of central control in the decentralized social network poses new issues of collaborative decision makingand trust to this permission-less environment. To tackle these problemsand ful ll the requirements of social media services, there is a need forintelligent mechanisms integrated to the decentralized social media thatconsider trust in various aspects according to the requirement of services. In this paper, we describe an adaptive microservice-based designcapable of nding relevant communities and accurate decision makingby extracting semantic information and applying role-stage model whilepreserving anonymity. We apply this information along with exploitingPareto solutions to estimate the trust in accordance with the quality ofservice and various con icting parameters, such as accuracy, timeliness,and latency.}, doi = {10.1007/978-3-030-48340-1_34}, keywords = {Semantic information, Community detection, Pareto-trust, Decentralized social media, Role-stage model}, url = {https://link.springer.com/chapter/10.1007/978-3-030-48340-1_34} }