2026-10-10T06:28:44Z
https://api.figshare.com/v2/oai
oai:figshare.com:article/34049188
2026-10-01T17:43:21Z
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month_year_10_2026
<p>Log-binned scaling exponents () quantifying the relationship between the number of unique trade partners and trade volume for different transaction types across three time periods. A value of indicates near-linear scaling, suggesting that accounts with more partners conduct proportionally more trades. Lower values, particularly for SC-SC transactions over time, reflect sublinear growth and increasing concentration in contract-based interaction patterns. Here, CI denotes the 95% confidence interval(CI) of the regression fit, <i>R</i><sup>2</sup> indicates the goodness-of-fit, and N is the sample size.</p>
Kundan Mukhia (25157917)
S. R. Luwang (25157920)
Md. Nurujjaman (25157923)
Tanujit Chakraborty (25157926)
Suman Saha (390518)
Chittaranjan Hens (8946065)
Biochemistry
Medicine
Cell Biology
Genetics
Physiology
Environmental Sciences not elsewhere classified
Ecology
Sociology
Immunology
uncovering scaling behaviors
temporal taylor ’
scaling laws offer
scaling coefficients ().
greater computational complexity
externally owned accounts
exhibit sublinear scaling
interactions involving scs
complex systems theory
smart contract execution
blockchain data analytics
gas fee analysis
div >< p
3 months ).
law exponents (),
eoa – eoa
eoa – sc
scs ),
law exponents
decentralized systems
smart contracts
ethereum blockchain
blockchain ecosystems
work provides
unique partners
underlying mechanisms
transactional dynamics
trade volume
structural differences
statistical patterns
principled framework
powerful lens
march 2018
linear relationship
level activity
law distributions
july 2017
interacting addresses
four types
findings reveal
february 2020
erc20 tokens
december 2019
characteristic differences
<p>Log-binned scaling exponents () quantifying the relationship between the number of unique trade partners and trade volume for different transaction types across three time periods. A value of indicates near-linear scaling, suggesting that accounts with more partners conduct proportionally more trades. Lower values, particularly for SC-SC transactions over time, reflect sublinear growth and increasing concentration in contract-based interaction patterns. Here, CI denotes the 95% confidence interval(CI) of the regression fit, <i>R</i><sup>2</sup> indicates the goodness-of-fit, and N is the sample size.</p>
2026-10-01T17:42:56Z
Dataset
Dataset
10.1371/journal.pone.0358972.t003
https://figshare.com/articles/dataset/_p_Log-binned_scaling_exponents_quantifying_the_relationship_between_the_number_of_unique_trade_partners_and_trade_volume_for_different_transaction_types_across_three_time_periods_A_value_of_indicates_near-linear_scaling_suggesting_that_acc/34049188
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