@inproceedings{59a5af6315c5499999ce0054c75cbf9a,
title = "A Simple Model of Citation Cartels: When Self-interest Strikes Science",
abstract = "This paper is an attempt to study a well known (probably little studied) phenomenon in academia: citation cartels. This is the tacit or explicit agreement among authors to cite each other more often than they would do in a more “sincere” approach to science. It can be intended as collusion and it can distort scientific progress in affecting a scholar{\textquoteright}s attention. The phenomenon has been around for decades and it does not seem to spare any discipline. By starting from outlining the characteristics of a “cartel,” this study then builds an agent-based model in an attempt to define the extent to which colluding behavior affects progress in a given discipline by operating on citation counts. Data is still preliminary although enough to conclude that cartels promote lax scientific practices.",
keywords = "Agent-based modeling, Citation cartels, Rigor, Scientific distortion",
author = "Davide Secchi",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 17th annual conference of European Social Simulation Association, ESSA 2022 ; Conference date: 12-09-2022 Through 16-09-2022",
year = "2023",
doi = "10.1007/978-3-031-34920-1_3",
language = "English",
isbn = "978-3-031-34919-5",
series = "Springer Proceedings in Complexity",
publisher = "Springer",
pages = "23--32",
booktitle = "Advances in Social Simulation",
address = "Germany",
}