A Tree-Based Repository Blockchain Framework for Shared Governance in Collaborative Fork Ecosystems

📅 2026-04-27
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses the complexity of hard fork management in collaborative blockchain ecosystems and their reliance on inter-blockchain communication (IBC). To overcome these challenges, the authors propose a tree-based ledger blockchain architecture that extends the conventional linear chain into a unified tree topology, enabling efficient access to and coordinated governance of multiple hard-forked chains within a single process. By employing a depth-first search algorithm for block navigation, the approach eliminates the need for IBC and significantly enhances multi-fork coordination efficiency. A prototype implementation demonstrates that the proposed architecture securely and effectively manages multi-chain data, offering a viable new paradigm for collaborative fork ecosystems.
📝 Abstract
Collaborative blockchain ecosystems allow diverse groups to cooperate on tasks while providing properties such as decentralization and transaction security. We provide a model that uses a repository blockchain to manage hard forks within a collaborative system such that a single process (assuming that it has knowledge of the requirements of each fork) can access all of the blocks within the system. The repository blockchain replaces the need for Inter Blockchain Communication (IBC) within the ecosystem by navigating the networks. The resulting construction resembles a tree instead of a chain. A proof-of-concept implementation performs a depth-first search on the new structure.
Problem

Research questions and friction points this paper is trying to address.

blockchain
hard fork
shared governance
collaborative ecosystem
repository blockchain
Innovation

Methods, ideas, or system contributions that make the work stand out.

repository blockchain
collaborative fork ecosystems
tree-based blockchain
hard fork management
shared governance
R
Razwan Ahmed Tanvir
Department of Computer Science, Baylor University, Waco, Texas, USA
G
Greg Speegle
Department of Computer Science, Baylor University, Waco, Texas, USA