@inproceedings{959452b9fd5d46f58afb795682cdf7af,
title = "Innovation oriented hyper model and evolution of knowledge network",
abstract = "Aiming at the topological characteristics and unclear innovation of knowledge network, a hyper model for knowledge was established. Based on the model, the keyword network and its evolution model were constructed with a newly-raised concept called innovation degree which measures the innovation in specific knowledge field. After that, specific model was constructed and its evolution was analyzed through papers from the field of artificial intelligence, which verified that the topological structure presented small-world nature and the innovation degree were effective in identifying the direction of knowledge innovation in relevant fields.",
keywords = "Evolution, Hyper-model, Innovation, Knowledge network",
author = "Jian Xie and Lin Gong and Zijian Zhang and Yan Yan and Sheng Tang",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 5th International Conference on Network, Communication and Computing, ICNCC 2016 ; Conference date: 17-12-2016 Through 21-12-2016",
year = "2016",
month = dec,
day = "17",
doi = "10.1145/3033288.3033343",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "115--119",
booktitle = "Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016",
}