2026-10-14T14:09:52Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34049194 2026-10-01T17:43:24Z category_4 category_7 category_12 category_13 category_16 category_272 category_39 category_45 category_46 portal_5 item_type_3 month_year_10_2026

<p>Percentage of traders exhibiting stationary trading behavior based on the KPSS test, applied to hourly trading activity across three time periods. A result above 90% indicates that the majority of traders in each transaction category maintained stable behavior over time. These results validate the use of Taylor’s law by confirming the stationarity assumption for time series analysis in most cases.</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>Percentage of traders exhibiting stationary trading behavior based on the KPSS test, applied to hourly trading activity across three time periods. A result above 90% indicates that the majority of traders in each transaction category maintained stable behavior over time. These results validate the use of Taylor’s law by confirming the stationarity assumption for time series analysis in most cases.</p> 2026-10-01T17:42:56Z Dataset Dataset 10.1371/journal.pone.0358972.t005 https://figshare.com/articles/dataset/_p_Percentage_of_traders_exhibiting_stationary_trading_behavior_based_on_the_KPSS_test_applied_to_hourly_trading_activity_across_three_time_periods_A_result_above_90_indicates_that_the_majority_of_traders_in_each_transaction_category_mainta/34049194 CC BY 4.0