Category Archives: TM Tools

The Relationship between Forward and Backward Diversity in CORE Datasets

In this paper we seek to better understand the relationship between forward diversity in the Cognitive Science and Educational Research literature, as well as what we call Border fields (i.e. those fields which exist at the intersection of Cognitive Science and Education Research). We find a clear and convincing relationship between forward and backward diversity in the datasets we study. Among all available explanatory variables, Integration scores claim the strongest correlation in terms of their ability to account for forward diversity. When comparing results from this study to benchmark results from a prior study (using the same indicators) the datasets in this study show a tendency to be both more integrative and diffuse.

Author(s): Stephen F. Carley, Seokbeom Kwon, Alan L. Porter, Jan L. Youtie
Organization(S): Search Technology, Georgia Institute of Technology
Source: Scientometrics
Year: 2019


1. Generate an empty folder and copy a VantagePoint file of interest to it.
2. Copy Generate_VOS_Network_from_VP.vpm and Generate_VOS_Network_from_VP.xlsm to this same folder.
3. In VantagePoint run the script Generate_VOS_Network_from_VP.vpm.
4. You will prompted to select a field of interest. Select the same one selected to generate a VOS map file.
5. The script will prompt you for a network name. Give it one.
6. After it the script completes a (sparse format) VOS network file will be saved to the same folder housing the VantagePoint file you’re working with.
7. Simultaneously open the accompanying map file and network file you just generated in VOS (under the File tab).
8. The user has the option to adjust number of lines (we suggest 200) on the map, as well as their color, width and whether they’re curved or straight.

An online VOSviewer manual, which provides in-depth guidance on VOS maps, networks and manipulation the same, is available at:

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Aesthetics in the age of digital humanities

One of the most difficult but yet unavoidable tasks for every academic field is to define its own nature and demarcate its area. This article addresses the question of how current computational text-mining approaches can be used as tools for clarifying what aesthetics is when such approaches are combined with philosophical analyses of the field. We suggest that conjoining the two points of view leads to a fuller picture than excluding one or the other, and that such a picture is useful for the self-understanding of the discipline. Our analysis suggests that text-mining tools can find sources, relations, and trends in a new way, but it also reveals that the databases that such tools use are presently seriously limited. However, computational approaches that are still in their infancy in aesthetics will most likely gradually affect our understanding about the ontological status of the discipline and its instantiations.

Open Access article…. for full-text, click

Author(s): Ossi Naukkarinen and Johanna Bragge
Organization: Aalto University School of Arts, Design and Architecture; Aalto University School of Economics
Source: Journal of Aesthetics and Culture
Year: 2016

Biological Diversity in the Patent System

Biological diversity in the patent system is an enduring focus of controversy but empirical analysis of the presence of biodiversity in the patent system has been limited. To address this problem we text mined 11 million patent documents for 6 million Latin species names from the Global Names Index (GNI) established by the Global Biodiversity Information Facility (GBIF) and Encyclopedia of Life (EOL). Continue reading Biological Diversity in the Patent System

Synthetic Biology: Mapping the Scientific Landscape

This article uses data from Thomson Reuters Web of Science to map and analyse the scientific landscape for synthetic biology. The article draws on recent advances in data visualisation and analytics with the aim of informing upcoming international policy debates on the governance of synthetic biology by the Subsidiary Body on Scientific, Technical and Technological Advice (SBSTTA) of the United Nations Convention on Biological Diversity. Continue reading Synthetic Biology: Mapping the Scientific Landscape

Technology Prospecting on Enzymes for the Pulp and Paper Industry

The use of enzymes in the pulp and paper industry was introduced in the 1986. However, their use has been relatively minor. This prospective study aims at enhancing the understanding of the most important advances regarding the use of enzymes in this industry and to identify the future trends of this technology. Information gathered from the Web of Science shows a growing number of papers published on this topic indicating an increased interest in this issue. A study on patents also displayed a high number documents related to this technology. Cellulase, xylanase, laccase and lipase are the most important enzymes that can be used in the pulp and paper processes. Furthermore, the key objectives of enzymes development have been in the bleaching boosting with xylanases and fiber modification with cellulases. The current and future trends on the development of enzymes are focused on increasing their thermostability and their alkalinity strength. Continue reading Technology Prospecting on Enzymes for the Pulp and Paper Industry

Upgrading the Quality of Science: Does Funding Source Matter?

Extended Abstract – MINING NOVEL DATA SOURCES session at “1st Global TechMining Conference” 2011

Author(s): Abdullah Gök and Philip Shapira (University of Manchester)

This paper examines the effect of differential and multiple funding on the quality of science in the Czech Republic. We explore several propositions. Firstly, we investigate whether European Union research sponsorship is changing the field orientation of Czech science, compared with the structural long-term trend of change since 1980. Secondly, we ask whether the European Union research sponsorship has had a positive influence on the quality of Czech scientific papers compared with other national and international funding sources. Our measures of quality include accrued citations and journal impact factors. Continue reading Upgrading the Quality of Science: Does Funding Source Matter?

Funding Acknowledgement Analysis – An Enhanced Tool to Investigate Research Sponsorship Impacts

Extended Abstract – MINING NOVEL DATA SOURCES   session at “1st Global TechMining Conference” 2011

Author(s): Jue Wang (Florida International University) and Philip Shapira (University of Manchester)

There is increasing interest in assessing how sponsored research funding influences the development and trajectory of science and technology. Traditionally, linkages between research funding and subsequent results are hard to track, often requiring access to separate funding or performance reports released by researchers or sponsors. Tracing research sponsorship and output linkages is even more challenging when researchers receive multiple funding awards and collaborate with a variety of differentially-sponsored research colleagues. Continue reading Funding Acknowledgement Analysis – An Enhanced Tool to Investigate Research Sponsorship Impacts