{"type":"ScholarlyArticle","title":"Mining Longitudinal Network for Predicting Company Value","authors":[{"name":"Yingzi Jin","slug":"yingzi-jin","given":"Yingzi","family":"Jin","affiliation":""},{"name":"Ching-Yung Lin","slug":"ching-yung-lin","given":"Ching-Yung","family":"Lin","affiliation":""},{"name":"Yutaka Matsuo","slug":"yutaka-matsuo","given":"Yutaka","family":"Matsuo","affiliation":""},{"name":"Mitsuru Ishizuka","slug":"mitsuru-ishizuka","given":"Mitsuru","family":"Ishizuka","affiliation":""}],"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.","doi":"10.5591/978-1-57735-516-8/IJCAI11-378","url":"https://ijcai.org/proceedings/2011/378","pdf":"https://ijcai.org/proceedings/2011/0378.pdf","markdown":"https://ijcai.org/proceedings/2011/378.md","bibtex":"https://ijcai.org/proceedings/2011/bibtex/378","volume":{"slug":"2011","title":"Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2011","url":"https://ijcai.org/proceedings/2011/","year":2011,"location":"Barcelona, Catalonia, Spain","dates":"16–22 July 2011","editors":"Toby Walsh","isbn":"978-1-57735-512-0; 978-1-57735-513-7; 978-1-57735-514-4; 978-1-57735-515-1; 978-1-57735-516-8","publisher":"AAAI Press/International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":378,"pages":{"first":2268,"last":2272},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}