August 26, 2019 Conference paper Open Access

Prodan, Radu; Saurabh, Nishant; Zhao, Zhiming; Orton-Johnson, Kate; Chakravorty, Antorweep; Karadimce, Aleksandar; Ulisses, Alexandre

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  <identifier identifierType="DOI">10.5281/zenodo.3580716</identifier>
  <creators>
    <creator>
      <creatorName>Prodan, Radu</creatorName>
      <givenName>Radu</givenName>
      <familyName>Prodan</familyName>
      <affiliation>Institute of Information Technology, University of Klagenfurt, Austria</affiliation>
    </creator>
    <creator>
      <creatorName>Saurabh, Nishant</creatorName>
      <givenName>Nishant</givenName>
      <familyName>Saurabh</familyName>
      <affiliation>Institute of Information Technology, University of Klagenfurt, Austria</affiliation>
    </creator>
    <creator>
      <creatorName>Zhao, Zhiming</creatorName>
      <givenName>Zhiming</givenName>
      <familyName>Zhao</familyName>
      <affiliation>Informatics Institute, University of Amsterdam, Netherlands</affiliation>
    </creator>
    <creator>
      <creatorName>Orton-Johnson, Kate</creatorName>
      <givenName>Kate</givenName>
      <familyName>Orton-Johnson</familyName>
      <affiliation>School of Social and Political Science, University of Edinburgh, UK</affiliation>
    </creator>
    <creator>
      <creatorName>Chakravorty, Antorweep</creatorName>
      <givenName>Antorweep</givenName>
      <familyName>Chakravorty</familyName>
      <affiliation>Department of Electrical Engineering and Computer Science, University of Stavanger, Norway</affiliation>
    </creator>
    <creator>
      <creatorName>Karadimce, Aleksandar</creatorName>
      <givenName>Aleksandar</givenName>
      <familyName>Karadimce</familyName>
      <affiliation>University of Information Science and Technology, Republic of North Macedonia</affiliation>
    </creator>
    <creator>
      <creatorName>Ulisses, Alexandre</creatorName>
      <givenName>Alexandre</givenName>
      <familyName>Ulisses</familyName>
      <affiliation>MOG Technologies, Maia, Portugal</affiliation>
    </creator>
  </creators>
  <titles>
    <title>ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Decentralized social media</subject>
    <subject>privacy</subject>
    <subject>trust</subject>
    <subject>blockchain</subject>
    <subject>semantic network</subject>
    <subject>auto-scaling</subject>
    <subject>Cloud and edge computing</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-08-26</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3580716</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3580715</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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&lt;br&gt;
architecture of the ARTICONF ecosystem, the industrial pilot use cases for validating it, and the planned innovations compared to related other European research projects.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/825134/">825134</awardNumber>
      <awardTitle>smART socIal media eCOsytstem in a blockchaiN Federated environment</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>