Online social networks: real-time graph sampling, multilayered information diffusion, and equality issues
Abstract
Over the last decade, Online Social Networks (OSNs) evolved into a new medium of communication, social connection and information sharing. Our research, aims to study the structure, properties, information diffusion, bias and features of these networks. The dissertation is split in three discrete sections, with each one covering a specific research topic, corresponding to our scientific contributions. Which are in; data sampling methods for online restrictive environments, inter-OSNs information propagation, OSN issues and future possibilities. The first section covers the issues of OSN real time sampling. Prior to the introduction of a novel sampling method, an extensive literature review is presented. In order to test our proposal, we used multiple up-to-date Twitter samples to compare it with established sampling methods. Our second research subject covers information diffusion and sharing, in multiple OSNs. At the time, no published research has considered information diffusion ove ...
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