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Preface

Authors: Shoikova, Elena;
Abstract

We are delighted to celebrate the appearance of the special issue of Serdica Journal of Computing dedicated to the Internet of Things (IoT) Ecosystems. This special issue contains selected papers that are supported by the National Scientific Fund, Bulgarian Ministry of Education and Science within the KoMEIN Project No DN 02/1 and project No DN 02/11 as well as by the European Commission under grant agreement No 763566 GATE Teaming 1 Project, and by the Scientific Fund of Sofia University within project 80-10-192/24.04.2017. The Special Issue at hand intends to promote the dissemination of the projects results in form of innovative business models, architectures, Blockchain technologies and case studies pertaining to IoT ecosystems and the Future City platform that hosts, maintain and deliver a wide range of services to citizens, government and businesses through utilizing Big Data and IoT technologies.

Country
Bulgaria
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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
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!
0
Average
Average
Average