Mining Longitudinal Network for Predicting Company Value

Jin, Yingzi; Lin, Ching-Yung; Matsuo, Yutaka; Ishizuka, Mitsuru

doi:10.5591/978-1-57735-516-8/IJCAI11-378

Mining Longitudinal Network for Predicting Company Value

Yingzi Jin, Ching-Yung Lin, Yutaka Matsuo, Mitsuru Ishizuka

Download BibTeX Cite

Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2268-2272.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-378

Abstract

Real-world social networks are dynamic in nature. Companies continue to collaborate, align strategically, acquire, and merge over time, and receive positive/negative impact from other companies. Consequently, their performance changes with time. If one can understand what types of network changes affect a company's value, he/she can predict the future value of the company, grasp industry innovations, and make business more successful. However, it often requires continuous records of relational changes, which are often difficult to track for companies, and the models of mining longitudinal network are quite complicated. In this study, we developed algorithms and a system to infer large-scale evolutionary company networks from public news during 1981--2009. Then, based on how networks change over time, as well as the financial information of the companies, we predicted company profit growth. This is the first study of longitudinal network-mining-based company performance analysis in the literature.

Yingzi Jin, Ching-Yung Lin, Yutaka Matsuo, and Mitsuru Ishizuka. 2011. Mining Longitudinal Network for Predicting Company Value. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2268–2272. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-378

@inproceedings{ijcai2011p378,
  title     = {Mining Longitudinal Network for Predicting Company Value},
  author    = {Jin, Yingzi and Lin, Ching-Yung and Matsuo, Yutaka and Ishizuka, Mitsuru},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {2268--2272},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-378},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-378},
}

TY  - CPAPER
TI  - Mining Longitudinal Network for Predicting Company Value
AU  - Jin, Yingzi
AU  - Lin, Ching-Yung
AU  - Matsuo, Yutaka
AU  - Ishizuka, Mitsuru
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 2268
EP  - 2272
DO  - 10.5591/978-1-57735-516-8/IJCAI11-378
UR  - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-378
ER  -