Special Issue "Blockchain and Smart Contract Technologies"

A special issue of Information (ISSN 2078-2489).

Deadline for manuscript submissions: closed (30 January 2020).

Special Issue Editors

Assoc. Prof. Dr. Saulius Masteika
Website
Guest Editor
Institute of Social Sciences and Applied Informatics, Kaunas Faculty, Vilnius University, Vilnius, Lithuania
Interests: computational finance and engineering; cryptocurrencies; blockchain; technical analysis and high frequency trading
Prof. Erich Schweighofer
Website
Guest Editor
Section for Legal Informatics, University of Vienna, Wien, Austria
Interests: legal informatics; international law
Dr. Piotr Stolarski
Website
Guest Editor
Department of Information Systems, Poznań University of Economics, Poznań, Poland
Interests: cryptocurrencies; blockchain; natural language processing; knowledge representation; information systems security

Special Issue Information

Dear Colleagues,

The 2nd International Workshop on Blockchain and Smart Contract Technologies (BSCT 2019) will be held in June 2019 in Seville in conjunction with the 22nd International Conference on Business Information Systems. The goal of the workshop is to bring together participants both from academia and business practice working on innovative ideas and the application of blockchain and smart contracts. The workshop calls for sharing research experiences and knowledge related to the adoption of distributed ledgers as well as associated technologies. We invite papers that provide methodologies, techniques, or empirical evidence of vital theoretical and practical aspects of blockchain-based architectures and share views on challenges that limit the broader use and implementation of such decentralized systems including various legal, organizational, or socio-economic factors.

This Special Issue of Information intends to attract submissions on such exemplary topics as consensus protocols, information security, (pseudo) anonymity, distributed applications, initial coin offering or token economy, etc. There is no Article Processing Charge for extended versions of the accepted papers at the BSCT 2019 workshop.

Assoc. Prof. Dr. Saulius Masteika
Prof. Erich Schweighofer
Dr. Piotr Stolarski
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • blockchain cconsensus protocols
  • distributed ledger analytics
  • macro and microeconomic models for cryptocurrencies
  • legal and financial aspects of ICO
  • smart contracts development and testing
  • performance measures of blockchain
  • blockchain and big data
  • identity management in distributed or anonymous environments
  • blockchain vulnerabilities and attacks schemes
  • DAO and governance
  • blockchain and data protection
  • blockchain industrial applications (fintech, insurtech, IoT, and asset digitization)

Published Papers (4 papers)

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Research

Open AccessArticle
Cryptocurrencies Perception Using Wikipedia and Google Trends
Information 2020, 11(4), 234; https://doi.org/10.3390/info11040234 - 24 Apr 2020
Abstract
In this research we presented different approaches to investigate the possible relationships between the largest crowd-based knowledge source and the market potential of particular cryptocurrencies. Identification of such relations is crucial because their existence may be used to create a broad spectrum of [...] Read more.
In this research we presented different approaches to investigate the possible relationships between the largest crowd-based knowledge source and the market potential of particular cryptocurrencies. Identification of such relations is crucial because their existence may be used to create a broad spectrum of analyses and reports about cryptocurrency projects and to obtain a comprehensive outlook of the blockchain domain. The activities on the blockchain reach different levels of anonymity which renders them hard objects of studies. In particular, the standard tools used to characterize social trends and variables that describe cryptocurrencies’ situations are unsuitable to be used in the environment that extensively employs cryptographic techniques to hide real users. The employment of Wikipedia to trace crypto assets value need examination because the portal allows gathering of different opinions—content of the articles is edited by a group of people. Consequently, the information can be more attractive and useful for the readers than in case of non-collaborative sources of information. Wikipedia Articles often appears in the premium position of such search engines as Google, Bing, Yahoo and others. One may expect different demand on information about particular cryptocurrency depending on the different events (e.g., sharp fluctuations of price). Wikipedia offers only information about cryptocurrencies that are important from the point of view of language community of the users in Wikipedia. This “filter” helps to better identify those cryptocurrencies that have a significant influence on the regional markets. The models encompass linkages between different variables and properties. In one model cryptocurrency projects are ranked with the means of articles sentiment and quality. In another model, Wikipedia visits are linked to cryptocurrencies’ popularity. Additionally, the interactions between information demand in different Wikipedia language versions are elaborated. They are used to assess the geographical esteem of certain crypto coins. The information about the legal status of cryptocurrency technologies in different states that are offered by Wikipedia is used in another proposed model. It allows assessment of the adoption of cryptocurrencies in a given legislature. Finally, a model is developed that joins Wikipedia articles editions and deletions with the social sentiment towards particular cryptocurrency projects. The mentioned analytical purposes that permit assessment of the popularity of blockchain technologies in different local communities are not the only results of the paper. The models can show which country has the biggest demand on particular cryptocurrencies, such as Bitcoin, Ethereum, Ripple, Bitcoin Cash, Monero, Litecoin, Dogecoin and others. Full article
(This article belongs to the Special Issue Blockchain and Smart Contract Technologies)
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Open AccessArticle
Execution Plan Control in Dynamic Coalition of Robots with Smart Contracts and Blockchain
Information 2020, 11(1), 28; https://doi.org/10.3390/info11010028 - 04 Jan 2020
Abstract
The paper presents an approach of the blockchain and smart contracts utilization for dynamic robot coalition creation. The coalition is forming for solving complex tasks in industry applications that requires sequential united actions from the several robots. The main idea is that the [...] Read more.
The paper presents an approach of the blockchain and smart contracts utilization for dynamic robot coalition creation. The coalition is forming for solving complex tasks in industry applications that requires sequential united actions from the several robots. The main idea is that the process is split into two stages: scheduling and dynamic execution. On the scheduling stage, the coalition is defined based on the correlation of existing tasks and robot equipment, and the execution plan is formed and stored in smart contracts. The second stage is the plan execution. During this stage, smart contract controls how each robot solves its sub-task and whether it solves the sub-task due to the planned moment of time. In case of any deviation from the plan, smart contacts will provide a solution for returning to the plan or for changing the coalition composition with new robots and an execution plan. The prototype for execution control system has been developed based on the Hyperledger Fabric platform. Full article
(This article belongs to the Special Issue Blockchain and Smart Contract Technologies)
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Open AccessArticle
Studying Transaction Fees in the Bitcoin Blockchain with Probabilistic Logic Programming
Information 2019, 10(11), 335; https://doi.org/10.3390/info10110335 - 30 Oct 2019
Cited by 1
Abstract
In Bitcoin, if a miner is able to solve a computationally hard problem called proof of work, it will receive an amount of bitcoin as a reward which is the sum of the fees for the transactions included in a block plus an [...] Read more.
In Bitcoin, if a miner is able to solve a computationally hard problem called proof of work, it will receive an amount of bitcoin as a reward which is the sum of the fees for the transactions included in a block plus an amount inversely proportional to the number of blocks discovered so far. At the moment of writing, the block reward is several orders of magnitude greater than the sum of transaction fees. Usually, miners try to collect the largest reward by including transactions associated with high fees. The main purpose of transaction fees is to prevent network spamming. However, they are also used to prioritize transactions. In order to use the minimum amount of fees, users usually have to find a compromise between fees and urgency of a transaction. In this paper, we develop a probabilistic logic model to experimentally analyze how fees affect confirmation time and miner’s revenue and to predict if an increase of average fees will generate a situation when the miner gets more reward by not following the protocol. Full article
(This article belongs to the Special Issue Blockchain and Smart Contract Technologies)
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Open AccessArticle
Analysis and Comparison of Bitcoin and S and P 500 Market Features Using HMMs and HSMMs
Information 2019, 10(10), 322; https://doi.org/10.3390/info10100322 - 18 Oct 2019
Abstract
We implement hidden Markov models (HMMs) and hidden semi-Markov models (HSMMs) on Bitcoin/US dollar (BTC/USD) with the aim of market phase detection. We make analogous comparisons to Standard and Poor’s 500 (S and P 500), a benchmark traditional stock index and a protagonist [...] Read more.
We implement hidden Markov models (HMMs) and hidden semi-Markov models (HSMMs) on Bitcoin/US dollar (BTC/USD) with the aim of market phase detection. We make analogous comparisons to Standard and Poor’s 500 (S and P 500), a benchmark traditional stock index and a protagonist of several studies in finance. Popular labels given to market phases are “bull”, “bear”, “correction”, and “rally”. In the first part, we fit HMMs and HSMMs and look at the evolution of hidden state parameters and state persistence parameters over time to ensure that states are correctly classified in terms of market phase labels. We conclude that our modelling approaches yield positive results in both BTC/USD and the S and P 500, and both are best modelled via four-state HSMMs. However, the two assets show different regime volatility and persistence patterns—BTC/USD has volatile bull and bear states and generally weak state persistence, while the S and P 500 shows lower volatility on the bull states and stronger state persistence. In the second part, we put our models to the test of detecting different market phases by devising investment strategies that aim to be more profitable on unseen data in comparison to a buy-and-hold approach. In both cases, for select investment strategies, four-state HSMMs are also the most profitable and significantly outperform the buy-and-hold strategy. Full article
(This article belongs to the Special Issue Blockchain and Smart Contract Technologies)
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