Symmetry in Big Data and Blockchain Technologies
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 12
Special Issue Editors
Interests: requirement engineering; software modelling; blockchain systems; data analyses
Special Issues, Collections and Topics in MDPI journals
Interests: business–process collaboration; workflow management; e-business transactions; service-oriented computing; software architectures and software engineering; ontologies; mashups; social web
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to publish research works on big data analytics of blockchain applications and technologies. Blockchain applications generate a substantial amount of data in the public domain across various blockchain networks. By applying advanced AI techniques like ML and LLM, we can have a better understanding of these datasets. The inherent structure and operations of public blockchain networks, from transaction records and smart contract interactions to network statistics and consensus mechanisms, generate a substantial, ever-growing, and publicly accessible volume of data. This vast repository presents an opportunity for advanced analysis, yielding critical insights into economic activity, security vulnerabilities, network efficiency, and user behaviour. The Issue will also cover the use of privacy-preserving operations on on-chain data.
Topics of interest include, but are not limited to, the application of the following:
- Machine learning (ML) for blockchain data; fraud and anomaly detection: developing models to identify illicit activities, money laundering, or attacks within transaction graphs.
- Predictive analytics: forecasting transaction fees, block production times, or asset price movements.
- Clustering and classification: categorizing addresses, entities, or smart contracts based on their behavioral patterns.
- Large language models (LLMs) and generative AI: applications of advanced natural language techniques in modeling and interpreting on-chain data
- Smart contract analysis: utilizing LLMs to audit, verify, and identify vulnerabilities or logical errors in code.
- documentation and knowledge discovery: automating the synthesis and summarization of network governance proposals or technical specifications.
- Generating synthetic data: creating realistic, privacy-preserving blockchain datasets for testing and research purposes.
- Network science and graph theory: analyzing the network topology of decentralized exchanges (DEXs) and decentralized finance (DeFi) protocols.
- Mapping transaction flow and identifying central actors or critical infrastructure.
- Decentralized data processing: novel methodologies for secure, privacy-preserving analytics on-chain or using zero-knowledge proofs.
- Economic and behavioral symmetry: studying the economic equilibrium and game theory of consensus mechanisms like proof-of-work (PoW) and proof-of-stake (PoS).
- Analyzing the behavioral patterns of miners, validators, and decentralized autonomous organization (DAO) voters.
Dr. Chibuzor Udokwu
Dr. Alexander Horst Norta
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 submissions that pass pre-check are 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. Symmetry 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 2400 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
- big data
- blockchain applications
- ML
- LLM
- privacy-preserving analytics
- agentic-AI on blockchain
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