Educational Videos on Demand

MOOC on Citation Network Analysis

MOOC on Citation Network Analysis

Dr K Satheesh Kumar

3 months
105 Views
Share Download 0 0
Category:
Description:
Now this course is available free at lms.keralauniversity.ac.in The first thing you might do when you start your research work is to do the literature review. Usually we read whatever articles come across and if we search with keywords of our domain of interest we may end up in getting thousands of articles. It is not easy to read all these articles in a limited time. Is there any systematic method of identifying the right articles to read? The citation network analysis (CNA) comes handy to trace evolution of your research domain and identifying the milestone articles in the domain. It also provides the current research trends apart from identifying articles of futures impact and knowledge bursts in the area. Sophisticated Instrumentation and Computation Centre (SICC) of University of Kerala is planning to start a MOOC on Citation Network Analysis shortly. If you are interested please fill in your email id and we will inform you when it starts. This is completely an online course. https://docs.google.com/…/1FAIpQLSfZhYtiu3TCMG9Bk…/viewform… In this course we will demonstrate the complete computational procedure to carry out CNA without dwelling much into the underlying mathematics or computer algorithms using freely available tools. It will be useful if you plan to write a review article or write the literature review part of your thesis. With the content of the course you could do most of the work in the following articles. 1. Kajikawa, Yuya, and Yoshiyuki Takeda. "Citation network analysis of organic LEDs." Technological Forecasting and Social Change 76.8 (2009): 1115-1123. 2. Barbieri, Nicolò, et al. "A survey of the literature on environmental innovation based on main path analysis." Journal of Economic Surveys 30.3 (2016): 596-623. 3. Huang, Ying, et al. "A hybrid method to trace technology evolution pathways: a case study of 3D printing." Scientometrics 111.1 (2017): 185-204. 4. Park, Hyunseok, and Christopher L. Magee. "Tracing technological development trajectories: A genetic knowledge persistence-based main path approach." PloS one 12.1 (2017): e0170895. 5. Bindu, N., C. Prem Sankar, and K. Satheesh Kumar. "Research collaboration and knowledge sharing in e-governance: Temporal analysis of co-author network." Transforming Government: People, Process and Policy (2018). 6. N. Bindu, C. Prem Sankar, K. Satheesh Kumar, From conventional governance to e-democracy: Tracing the evolution of e-governance research trends using network analysis tools, Government Information Quarterly, 2019 (in press) 7. Ho, Jonathan C., et al. "Technological barriers and research trends in fuel cell technologies: A citation network analysis." Technological Forecasting and Social Change 82 (2014): 66-79. ------ https://www.facebook.com/satheeshtvm.tvm/videos/2262424577133790/
Up Next Autoplay