In the era of we-media, everyone can participate in the creation and dissemination of information. Despite the many advantages it confers, this new frontier raises several difficulties: How are content creators to protect their interests? How can the value of content be quickly determined? How can content creators be rewarded in a fair and just way? For each of these challenges, blockchain technology presents an elegant and natural solution.
The RCT blockchain is used to reward both creators and miners by introducing advanced new design concepts known as Proof of Importance and Proof of Work. Although RCT is internally powered by blockchain technology, the user-facing platform is modeled after peer review and quotation systems in academia, such as arXive or Google Scholar. RCT guarantees the rights and interests of creators to the greatest possible extent, such that the real value of their work is quoted according to an efficient pricing mechanism.
1. RCT records submitted documents of any format by hash value
2. RCT records citation relations between submissions using Blockchain 'transaction records'
3. RCT offers RCT token rewards for excellent content with its unique state-of-the-art PoW+PoI consensus mechanism
4. RCT makes it possible for both miners and creators to accept public supervision by making use of the openness and transparency intrinsic to the blockchain paradigm
The copyright of every submission is protected by the transparency and immutability guaranteed by blockchain's underlying security mechanisms.
Transactions/citations provide a reliable and intuitive reflection of each submitted item's essential value.
Our team is committed to providing special funding to encourage researchers from academia to work on innovation in the RCT blockchain.
RCT rewards each work in an amount proportionate to the true impact of the submission.
The inherent decentralization of the RCT blockchain ensures that changes to the blockchain itself are publicly available to all parties on the network.
The unique PoI+PoW consensus mechanism of RCT inspires the authors to continually improve the quality of their submitted work.
In the RCT blockchain, the definitions of 'work' and 'citation' have been significantly expanded. The work will not be limited in terms of format and form. Submissions may be academic articles, pictures, videos or brief passages. A 'citation' refers not only to the indexed relationship between academic papers, but can represent the relationship between an author him/herself to a document, video, photo, or quotation. In the Blockchain, 'transaction' are a proxy for 'citation'.
The citation of the work embodies the value of the work itself. A work cited by more accounts necessarily has higher value. Similarly, a work cited by another work with a higher value also represents a higher value. This idea is widely used in search engines and web indexing activity such as page ranking.
In the case of obtaining citation network, we introduce Random Walk algorithm to verify and reward the citation network of the works. In order to prevent miners from citation cheating, the reward system is designed as a stable system that will verify the works and adjust the difficulty in each block. Through the perfect system design, the stable operation of the Blockchain network will be finally realized.
Alexander Cope, Ph.D. He is an engineer and developer with deep knowledge in computational models, database development and algorithm design. He has experience in developing integrated and high performance computational systems at oak ridge national laboratory (ORNL). Regarding blockchain as the next revolution, Alex started to get involved in cryptocurrency ecosystem and joined the team to launch blockchain platform based on innovative consensus algorithm.
Yaojin Sun, Ph.D. As an experienced developer, he participatd in projects related to blockchain at oak ridge national laboratory (ORNL). Yaojin manages the technical aspects of the RCT project including consensus algorithm, framework design and the development of the project’s information. He is cryptocurrency enthusiast, blockchain developer with background in advanced computation technology and machine learning algorithm design.
Stephen Grady, Ph.D. With five years of experience in graph algorithms, applications and implementations, Stephen brings a wealth of consensus algorithm development knowledge to the RCT project. He has a strong track record working with advanced computation solutions in algorithm design, modeling, simulation and product development.
Jason Lian, Ph.D. Works in oak ridge national laboratory (ORNL), biophysics and datamining. He is a cryptocurrency & blockchain enthusiast. As a former Senior Data Mining Engineer at Holaverse, he worked on mobile internet big data datamining and recommendation algorithm design. He was involved in blockchain field since 2013 and joined RCT in 2017, responsible for the development of the infrastructure and smart contract of RCT blockchain.
Harrison Hicks PhD. Works in Deep Learning Architecture. Strong background in Applied Statistics. Passionate about the potential of cryptocurrency and blockchain.