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ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment

Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment
Authors: Radu Prodan; Nishant Saurabh; Zhiming Zhao; Kate Orton-Johnson; Antorweep Chakravorty; Aleksandar Karadimce; Alexandre Ulisses;

ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment

Abstract

The ARTICONF project funded by the European Horizon 2020 program addresses issues of trust, time-criticality and democratisation for a new generation of federated infrastructure, to fulfil the privacy, robustness, and autonomy related promises critical in proprietary social media platforms. It aims to: (1) simplify the creation of open and agile social media ecosystem with trusted participation using a two stage permissioned blockchain; (2) automatically detect interest groups and communities using graph anonymization techniques for decentralised and tokenized decision-making and reasoning; (3) elastically autoscale time-critical social media applications through an adaptive orchestrated Cloud edge-based infrastructure meeting application runtime requirements; and (4) enhance monetary inclusion in collaborative models through cognition and knowledge supply chains. We summarize the initial envisaged architecture of the ARTICONF ecosystem, the industrial pilot use cases for validating it, and the planned innovations compared to related other European research projects.

Country
Netherlands
Keywords

blockchain, SDG 16 - Peace, Semantic network, auto-scaling, semantic network, trust, Cloud and edge computing, Trust, privacy, Justice and Strong Institutions, 004, Decentralized social media, Blockchain, Auto-scaling, Privacy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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9
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64
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