COCOON CORE: CO-author REcommendations Based on Betweenness Centrality and Interest Similarity

Autor:	Peter Sloep, Rory Sie, Bart Jan van Engelen, Marlies Bitter-Rijpkema
Rok vydání:	2014
Předmět:	Value (ethics) Knowledge management business.industry Common ground Usability Recommender system Machine learning computer.software_genre Core (game theory) Betweenness centrality Similarity (psychology) Artificial intelligence Psychology business Social network analysis computer
Zdroj:	Recommender Systems for Technology Enhanced Learning ISBN: 9781493905294 Recommender Systems for Technology Enhanced Learning
Popis:	When researchers are to write a new article, they often seek co-authors who are knowledgeable on the article’s subject. However, they also strive for acceptance of their article. Based on this otherwise intuitive process, the current article presents the COCOON CORE tool that recommends candidate co-authors based on like-mindedness and power. Like-mindedness ensures that co-authors share a common ground, which is necessary for seamless cooperation. Powerful co-authors foster adoption of an article’s research idea by the community. Two experiments were conducted, one focusing on the perceived quality of the recommendations that COCOON CORE generates and one focusing on the usability of COCOON CORE. Results indicate that participants perceive the recommendations moderately positively. Particularly, they value the recommendations that focus fully on finding influential peers and the recommendation in which they themselves can adjust the balance between finding influential peers and like-minded peers. Also, the usability of COCOON CORE is perceived to be moderately good.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6543f6a04b45d26e0d8637eda5b8b1ea https://doi.org/10.1007/978-1-4939-0530-0_13 Zobrazit plný text záznamu