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coauction-1.0


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توضیحات

This repository contains the source codes of our research paper in economics titled: "Addictive auctions: using lucky-draw and gambling addiction to increase participation during auctioning".
ویژگی مقدار
سیستم عامل -
نام فایل coauction-1.0
نام coauction
نسخه کتابخانه 1.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Ravin Kumar
ایمیل نویسنده mr.ravin_kumar@hotmail.com
آدرس صفحه اصلی https://github.com/mr-ravin/collaborative-auction
آدرس اینترنتی https://pypi.org/project/coauction/
مجوز -
# collaborative-auction This repository contains the source codes of our research paper in economics titled: "Addictive auctions: using lucky-draw and gambling addiction to increase participation during auctioning". #### Paper Title: Addictive auctions: Using lucky-draw and gambling addiction toincrease participation during auctioning #### Author: [Ravin Kumar](https://mr-ravin.github.io) #### Publication: 18th January 2021. #### Publication Journal: [International Journal of Management Research and Economics](https://www.svedbergopen.com/journals/International-Journal-of-Management-Research-and-Economics/About-the-Journal/) #### Publication House: [SvedbergOpen](https://www.svedbergopen.com) #### Publication link: https://www.svedbergopen.com/files/1612268008_(5)_IJMRE28112020MTN007_(p_68-74).pdf #### Cite as: ``` Ravin Kumar (2021). Addictive auctions: Using lucky-draw and gambling addiction to increase participation during auctioning. International Journal of Management Research and Economics. 1(1),68-74. ``` #### Doi: https://doi.org/10.51483/IJMRE.1.1.2021.68-74 #### Also available on Elsevier-SSRN eJournals: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3795556 - Behavioral & Experimental Economics eJournal. - Microeconomics: Welfare Economics & Collective Decision-Making eJournal. - Microeconomics: Production, Market Structure & Pricing eJournal. #### Earlier Preprints: - OSF Preprints : https://doi.org/10.31219/osf.io/darvs - Cornell University LIbrary, arXiv.org : https://arxiv.org/abs/1906.03237 ### Steps for using the library ```python import coauction # total_candidates : total number of participants # bidding_sequence: arrary containing timeseries data in format [[candidate_id,candidate_offer],[candidate_id,candidate_offer] ....] # relation_list: array containing relationship in form of [[sender,receiver],..] here 1 represents the person who won the bidding, 2 repreents the second last bidding candidate etc. # alpha: it determine the discount ratio for each relationship present in relation_list results=coauction.response(total_candidates,bidding_sequence,relation_list,alpha) # results[0] contains complete list of amount each candidate gets, and results[1] contains the amount in form of a dictionary, # with candidate_id as key, and amount as value. ``` ### Installing module using PyPi: ```python pip install coauction ``` In our system, the candidate_id begins with 1 in the dictionary based response. ```python Copyright (c) 2019 Ravin Kumar Website: https://mr-ravin.github.io Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ```


نحوه نصب


نصب پکیج whl coauction-1.0:

    pip install coauction-1.0.whl


نصب پکیج tar.gz coauction-1.0:

    pip install coauction-1.0.tar.gz