State-of-the-Art Science Mapping and Bibliometric

Dear Colleagues,

Currently, innovation, development and research activities, and in particular science and technology, generate large amount of information derived from the scientific method, such as articles, theses, patents, clinical trials, among others. In fact, the total volume increases year by year, following a constant growth pattern.

In this sense, the global system of science and technology can be understood as a complex structure in which academic and industrial actors, and the global knowledge generated, relate to each other, and can be represented as a network or graph. Thus, there can be nodes related to people (researchers), institutions, countries, documents, concepts, journals, etc. Between these, different types of relationships can be established. Furthermore, in this network, relationships are heterogeneous and dynamic, i.e., relationships are not only established between two nodes of the same type, but maybe involved in different types of nodes, and these may change over time.

In this sense, bibliometric, and particularly, science mapping analysis is specially devoted to extract knowledge from the complex systems made from the global system of science and technology. That is, science mapping has as aim the modelling and analysis of bibliometric networks. In the recent years, this research field is growing, and in fact, there is a great community developing new algorithms, software, methodologies and analyses to expand the field. Moreover, although classical techniques are still in use, there is a necessity to create new techniques and tools based on artificial intelligence and complex systems, in order to deal with the big amount of scientific information available.

Therefore, the main objective of this special issue, is to encourage to this research community to improve the bibliometric and science mapping research field, creating new knowledge in forms of methods, models, algorithms, methodologies and software tools, and also employ them to perform prestigious analyses. Thus, potential topics for this special issue, but not limited, are:

• New data sources and coverage studies.
• Data preprecesing, cleaning, and de-duplication.
• Reproducibility and traceability in bibliometric networks and bibliometric studies.
• New models of representation of bibliometric networks, from static to heterogeneous and dynamic networks.
• New techniques of analysis and visualization of large bibliometric networks.
• Science mapping and bibliometric software tools.
• Implications of bibliometric in the industry and society.
• Analysis of research fields to uncover their conceptual, intellectual or social aspects.

Dr. Manuel Jesus Cobo Martin
Dr. Jose A. Moral-Munoz
Guest Editors

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• Science mapping analysis
• bibliometric networks
• science of science