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- Type of Document: M.Sc. Thesis
- Language: English
- Document No: 49957 (56)
- University: Sharif University of Technology, International Campus, Kish Island
- Department: Science and Engineering
- Advisor(s): Hajsadeghi, Khosrow; Khosravi, Kaveh
- Abstract:
- When the keywords in academic articles are collected and accumulated to achieve a certain amount, they will display a network property. This property can help us to get the hotspot graph of science by using the keywords network, which is directly related to the subject of the paper. Also by analyzing this network, it is possible to forecast the future science hotspots.By analyzing keywords network from complex networks point of view, we are able to predict the future hotspots based on current trends, previous growth patterns that happened or with the power of different centrality measures like eigenvector etc. As an example, when a new keyword appears in a paper for the first time, a complex network analysis will help us to predict the future possibility of this keyword to become a hotspot. Due to the weight of each node in keywords network, forecasting the future hotspots is done. While time is one of the important parameters of this process, it is the driving force for dynamics of keywords network and forecasting the future hotspots. According to the history of changes in the keywords network in past years, we are able to predict its evolution and changes for later times leading to recent years
- Keywords:
- Forecasting ; Complex Network ; Keywords ; Scientific Performance ; Scientific Hotspots
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