Regional Dynamics and Blockchain Transactions

Simon Trimborn (), Hanqiu Peng and Ying Chen
Additional contact information
Simon Trimborn: University of Amsterdam, Assistant Professor
Hanqiu Peng: National University of Singapore
Ying Chen: National University of Singapore

Chapter Chapter 24 in The Blockchain Scholars Book, 2025, pp 129-133 from Springer

Abstract: Abstract This chapter is based on the article “Influencer detection meets network autoregression—Influential regions in the bitcoin blockchain” by Simon Trimborn, Hanqiu Peng, and Ying Chen, published in the Journal of Empirical Finance in 2024 ( https://doi.org/10.1016/j.jempfin.2024.101529 ). Simon, an assistant professor of econometrics and data science at the University of Amsterdam, serves as the corresponding author for this chapter.

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-2844-8_24

Ordering information: This item can be ordered from
http://www.springer.com/9789819528448

DOI: 10.1007/978-981-95-2844-8_24

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().