Analysing full text content by means of a flexible co-citation analysis inspired text mining method - exploring 15 years of JASSS articles
by Danilo Saft; Volker Nissen
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 9, No. 1, 2014

Abstract: This article presents a comprehensible and powerful method to automatically analyse large sets of full text articles on the level of single terms by creating a term connection graph, akin to a sophisticated tag cloud. As a result, it is possible to quickly receive a visual structuring of a research field, which is particularly helpful for those new to a field to get an overview of the field and for researchers as a whole to relate their own work to that of others. Following the design science research approach, we first explain the desired benefit of such a method that includes a flexible and fast way for researchers to compile complete journals and other scientific sources into quickly interpretable graphs, which have a quantitatively objective foundation. Then, we explain the method and its relation to other approaches such as co-citation analysis and text mining. Next, we present in detail the results of applying this method to 15 volumes/years of Journal of Artificial Societies and Social Simulation (JASSS). The article also links to our source code implementations and provides adjustable step-by-step guides so that others may better benefit from and extend this research.

Online publication date: Wed, 30-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com