人工知能学会全国大会論文集
Online ISSN : 2758-7347
33rd (2019)
セッションID: 1K4-E-1-04
会議情報

Using Sequence Constraints for Modelling Network Interactions
Johannes De SMEDT*Junichiro MORIMasanao OCHI
著者情報
会議録・要旨集 フリー

詳細
抄録

The ubiquitous nature of networks has led a vast number of works dedicated to the study of capturing their information. Various graph-based techniques exist that report on the characteristics of nodes and edges, e.g., author-citation networks, social interactions, and so on. A significant amount of information can be extracted by summarizing the surrounding network structure of nodes, e.g., by capturing motives, or walk patterns. In this work, we present a new way of capturing the interaction between nodes in a network by making use of the sequence in which they occur. (1) The objective of this paper is to make use of behavioural constraint patterns; a concise but detailed report of node's interactions can be constructed that can be used for various purposes. (2) It is shown how the constraint patterns can be mined form interaction data, and how they can be used for various applications.

著者関連情報
© 2019 The Japanese Society for Artificial Intelligence
前の記事 次の記事
feedback
Top