MATEC Web Conf.
Volume 208, 20182018 3rd International Conference on Measurement Instrumentation and Electronics (ICMIE 2018)
|Number of page(s)||6|
|Section||Electronics and Communication Engineering|
|Published online||26 September 2018|
An Evolving Hypernetwork Model to Quantify Progress Potential of Emerging Research Topic
Department of Systems Engineering, National University of Defense Technology Changsha, Hunan, China
There is considerable and growing interest in the emergence of research topics. However, current methods to detect the emergence are still problematic mainly due to information loss and aging effect. In this study, we show three intrinsic mechanisms including preferential attachment, exponentially growth and heterogeneous fitness values that decay with time. Depending on the input assumptions, all topics tend to follow a universal temporal pattern according to our model which results in strongly sufficiency to quantify progress potential.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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