id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-103408-vhrlrd2c	Mishra, Preet	Decision Support Systems based on Scientific Evidence: Bibliometric Networks of Invasive Lantana camara	2020-08-10		.txt	text/plain	3304	143	46	Network approach to decipher large data sets has long been known as one of the best analytical strategies, and this applies equally well for bibliographic information (Shiffrin and Börner, 2004) , with the added benefits of being able to explore, model and restructure literature metadata to draw insights from both static and dynamic representations of individuals, organizations or themes of research (Newman, 2004) . High dimensional literature metadata, when visualized efficiently through networks can reveal communities sharing common node or edge attributes in both coarse-grained and fine-grained routines (Babu et al., 2016) Availability of metadata can often overcome constraints of limited access to full-text and enable one to focus on a lower ease-of-access threshold, i.e. critical information within the title, abstract and citation. Here we present case studies from invasive plant species bibliographic metadata and share how emerging co-authorship networks can improve and inform decisions, and how diverse network visualizations can be integrated as modules in a DSS.	./cache/cord-103408-vhrlrd2c.txt	./txt/cord-103408-vhrlrd2c.txt