It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Reaching consensus—a macroscopic state where the system constituents display the same microscopic state—is a necessity in multiple complex socio-technical and techno-economic systems: their correct functioning ultimately depends on it. In many distributed systems—of which blockchain-based applications are a paradigmatic example—the process of consensus formation is crucial not only for the emergence of a leading majority but for the very functioning of the system. We build a minimalistic network model of consensus formation on blockchain systems for quantifying how central nodes—with respect to their average distance to others—can leverage on their position to obtain competitive advantage in the consensus process. We show that in a wide range of network topologies, the probability of forming a majority can significantly increase depending on the centrality of nodes that initiate the spreading. Further, we study the role that network topology plays on the consensus process: we show that central nodes in scale-free networks can win consensus in the network even if they broadcast states significantly later than peripheral ones.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details


1 Politecnico di Torino, Department of Mathematical Sciences, Turin, Italy (GRID:grid.4800.c) (ISNI:0000 0004 1937 0343); ISIRES, Turin, Italy (GRID:grid.4800.c)
2 Singapore Management University, Information Systems and Technology Cluster, School of Computing and Information Systems, Singapore, Singapore (GRID:grid.412634.6) (ISNI:0000 0001 0697 8112)
3 University of Zurich, Blockchain & Distributed Ledger Technologies Group, Informatics Department, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)
4 UCL, Department of Computer Science, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201)