Dynamic graph models inspired by the Bitcoin network-formation process-Reference-Cited by-同舟云学术

Dynamic graph models inspired by the Bitcoin network-formation process

Published:2023-01-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th International Conference on Distributed Computing and Networking
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Author:

Cruciani Antonio¹^ORCID,Pasquale Francesco²^ORCID

Affiliation:

1. Gran Sasso Science Institute, Italy

2. Università di Roma Tor Vergata, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3571306.3571398

Reference36 articles.

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2. Andreas M. Antonopoulos . 2017 . Mastering Bitcoin: Programming the open blockchain. "O’Reilly Media , Inc .". Andreas M. Antonopoulos. 2017. Mastering Bitcoin: Programming the open blockchain. "O’Reilly Media, Inc.".

3. John Augustine , Gopal Pandurangan , and Peter Robinson . 2016. Distributed Algorithmic Foundations of Dynamic Networks. SIGACT News ( 2016 ). John Augustine, Gopal Pandurangan, and Peter Robinson. 2016. Distributed Algorithmic Foundations of Dynamic Networks. SIGACT News (2016).

4. John Augustine , Gopal Pandurangan , Peter Robinson , Scott T. Roche , and Eli Upfal . 2015 . Enabling Robust and Efficient Distributed Computation in Dynamic Peer-to-Peer Networks. In IEEE 56th Annual Symposium on Foundations of Computer Science, FOCS 2015 , Berkeley, CA, USA , 17-20 October, 2015. IEEE Computer Society. John Augustine, Gopal Pandurangan, Peter Robinson, Scott T. Roche, and Eli Upfal. 2015. Enabling Robust and Efficient Distributed Computation in Dynamic Peer-to-Peer Networks. In IEEE 56th Annual Symposium on Foundations of Computer Science, FOCS 2015, Berkeley, CA, USA, 17-20 October, 2015. IEEE Computer Society.

5. Towards Robust and Efficient Computation in Dynamic Peer-to-Peer Networks

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