Research Hotspots and Trends in Swarm Intelligence: From 2000 to 2015
Swarm Intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. This paper was to explore a bibliometric approach to quantitatively assessing current research hotspots and trends on Swarm Intelligence, u
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Abstract. Swarm Intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. This paper was to explore a bibliometric approach to quantitatively assessing current research hotspots and trends on Swarm Intelligence, using the related literature in the Science Citation Index (SCI) database from 2000 to 2015. Articles referring to Swarm Intelligence were concentrated on the analysis of scientific outputs, distribution of countries, institutions, periodicals, subject categories and research performances by individuals. Moreover, innovative methods such as keyword co-citation analysis, semantic clustering and Keyword Frequent Burst Detection were applied to provide a dynamic view of the evolution of swarm intelligence research hotpots and trends from various perspectives which may serve as a potential guide for future research. Keywords: Swarm intelligence
Bibliometric analysis Research hotspots
1 Introduction The term swarm is used for an aggregation of animals such as fish schools, birds flocks and insect colonies such as ant, termites and bee colonies performing collective behavior. The individual agents of a swarm behave without supervision and each of these agents has a stochastic behavior due to her perception in the neighborhood. Local rules, without any relation to the global pattern, and interactions between self-organized agents lead to the emergence of collective intelligence called swarm intelligence [1]. In fact, Swarm Intelligence is a relatively new field of research, which has gained huge popularity in these days. Lots of researchers studied the versatile behavior of different living creatures and especially the social insects (ant, bee, termite, bird or fish) [2–4]. The efforts to mimic such behaviors through computer simulation finally resulted into the fascinating field of SI [5]. In this paper, a bibliometric analysis was performed by investigating annual scientific outputs, distribution of countries, institutions, journals, research performances by individuals and subject categories to offer another perspective on the development of SI research. Moreover, innovative methods such as Keyword co-citation analysis, semantic clustering and Keyword Frequent Burst Detection were applied to provide insights into the global research hotpots and trends from various perspectives which may serve as a potential guide for future research. © Springer International Publishing Switzerland 2016 Y. Tan et al. (Eds.): ICSI 2016, Part I, LNCS 9712, pp. 24–35, 2016. DOI: 10.1007/978-3-319-41000-5_3
Research Hotspots and Trends in Swarm Intelligence
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2 Data and Methods Data on Swarm Intelligence comes from Science Citation Index (SCI) database. We searched SCI on January 20, 2016 to identify the literature on Swarm Intelligence by entering the keyword “Swarm Intelligence”. We restricted our keyword search to Topics (2000–2015) and obtained a total of 3071 papers from SCI database, Full bibliographic records (including their reference lists) of all papers were downloaded
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