TY - GEN
T1 - A kuramoto model based approach to extract and assess influence relations
AU - Trovati, Marcello
AU - Castiglione, Aniello
AU - Bessis, Nik
AU - Hill, Richard
N1 - Publisher Copyright:
© Springer Science+Business Media Singapore 2016.
PY - 2016/1/19
Y1 - 2016/1/19
N2 - In this paper, we introduce a novel method to extract and assess influence relations between concepts, based on a variation of the Kuramoto Model. The initial evaluation focusing on an unstructured dataset provided by the abstracts and articles freely available from PubMed [7], shows the potential of our approach, as well as suggesting its applicability to a wide selection of multidisciplinary topics.
AB - In this paper, we introduce a novel method to extract and assess influence relations between concepts, based on a variation of the Kuramoto Model. The initial evaluation focusing on an unstructured dataset provided by the abstracts and articles freely available from PubMed [7], shows the potential of our approach, as well as suggesting its applicability to a wide selection of multidisciplinary topics.
KW - Data analytics
KW - Information extraction
KW - Knowledge discovery
UR - http://www.scopus.com/inward/record.url?scp=84958025958&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958025958&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-0356-1_49
DO - 10.1007/978-981-10-0356-1_49
M3 - Conference proceeding (ISBN)
AN - SCOPUS:84958025958
SN - 9789811003554
T3 - Communications in Computer and Information Science
SP - 464
EP - 473
BT - Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Revised Selected Papers
A2 - Li, Kangshun
A2 - Li, Jin
A2 - Liu, Yong
A2 - Castiglione, Aniello
PB - Springer Verlag
T2 - 7th International Symposium on Computational Intelligence and Intelligent Systems, ISICA 2015
Y2 - 21 November 2015 through 22 November 2015
ER -