2026-10-14T05:31:03Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34049146 2026-10-01T17:43:04Z category_4 category_7 category_12 category_13 category_16 category_272 category_39 category_45 category_46 portal_5 item_type_1 month_year_10_2026

<p>Period 2: Scatter plots in log-log scale showing the relationship between the number of trades executed per unique trader and the number of unique trade partners across four categories during the middle period of our observation time window.</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>Black markers indicate individual trading accounts, while the brown curves show log-binned averages that highlight the overall scaling behavior.</p> 2026-10-01T17:42:56Z Image Figure 10.1371/journal.pone.0358972.g002 https://figshare.com/articles/figure/_p_Period_2_Scatter_plots_in_log-log_scale_showing_the_relationship_between_the_number_of_trades_executed_per_unique_trader_and_the_number_of_unique_trade_partners_across_four_categories_during_the_middle_period_of_our_observation_time_wind/34049146 CC BY 4.0