Introduction

Description

DIVA is an integrated software for descriptive bibliometrics. The software can be used to analyze and map collections of journal paper abstracts and patents. It is primarily used with collections of records downloaded from Thompson/ISI Web of Science (WOS) service.

History

DIVA was originally written in 2000 as part of a project funded by Halliburton Energy Services for research on monitoring of technology through bibliometrics. The work was conducted at Oklahoma State University at Stillwater, Oklahoma, USA, by a joint team of the Electrical Engineering department and Industrial Engineering department, managed by Steven Morris of OSU. The original MATLAB routines for DIVA were written by Steven Morris, Monica Wu and Benyam Asnake of the Electrical Engineering department. The Visual Basic routines for extraction of title and abstract terms were written by Sinan Salman of the Industrial Engineering department. Since the end of 2002, DIVA has been maintained and expanded by Steven Morris, currently of Baker-Hughes/INTEQ.

Software Capabilities

DIVA can be used for the folllowing types of bibliometric analysis:

• Bibliographic coupling analysis
• Co-citation analysis
• Co-authorship analysis
• Author co-citation analysis
• Journal coupling analysis
• Journal co-citation analysis
• Term co-occurrence analysis
• Institution co-occurrence analysis
• Country co-occurrence analysis

DIVA is primarily used to visualize and map elements of research specialties, using a matrix-based visualization techniques. Three types of maps are produced: 1) Timelines, which plot entities by the time of their creation, 2) Crossmaps, which plot links between two types of entities, and 3) Usage maps, which plot the number of links to entities by year.

• Research front (RF) timelines
• RF to reference crossmaps
• Reference timelines
• Reference usage plots
• RF to paper author crossmaps
• Paper author usage maps
• RF to reference author crossmaps
• Reference author usage maps
• RF to paper journal crossmaps
• RF to reference journal crossmaps
• RF to country crossmaps
• RF to institution crossmaps

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