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Posts

Future Blog Post

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Blog Post number 1

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portfolio

publications

Predicting the Evolution Process of Infrastructure Networks With an NSIPA Link Prediction Method

Published in IEEE Transactions on Circuits and Systems II: Express Briefs, 2019

Infrastructure networks, such as power grids, have been developing rapidly. There is a growing demand for predicting the future evolution process of power grids in the planning of infrastructure systems. As the structure of power grids evolves to be more complex, the grids can be studied under complex network theory by extracting structural properties. Accordingly, the prediction of the evolution process of power grids can be regarded as a link prediction problem. To correspond with the actual self-organization regulations of power grids, a novel link prediction model based on preferential attachment is proposed in this brief. After experimenting on several real world power grids, results show that our model outperforms six other popular models in various kinds of realistic networks. It is demonstrated as a possible methodology for solving the prediction problem of power grid evolution.

Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://dishengtang.github.io/files/2019predicting.pdf

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

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