Using sequence constraints for modelling network interactions

Johannes De Smedt; Junichiro Mori; Masanao Ochi

doi:10.11517/pjsai.JSAI2019.0_1K4E104

Using sequence constraints for modelling network interactions

Johannes De Smedt, Junichiro Mori, Masanao Ochi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

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.

Original language	English
Title of host publication	Proceedings of the Annual Conference of the Japanese Society for Artificial Intelligence
Publisher	The Japanese Society for Artificial Intelligence
DOIs	https://doi.org/10.11517/pjsai.JSAI2019.0_1K4E104
Publication status	Published - 1 Jun 2019

Keywords / Materials (for Non-textual outputs)

sequence constraint
behavioural constraint
network analysis

Access to Document

10.11517/pjsai.JSAI2019.0_1K4E104

1 Conference contribution

Using sequence constraints for modelling network interactions
De Smedt, J., Mori, J. & Ochi, M., 4 Feb 2020, (E-pub ahead of print) Advances in Artificial Intelligence: Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2019). Ohsawa, Y., Yada, K., Ito, T., Takama, Y., Sato-Shimokawara, E., Abe, A., Mori, J. & Matsumura, N. (eds.). Springer, p. 3-13 (Advances in Intelligent Systems and Computing).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Cite this

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title = "Using sequence constraints for modelling network interactions",

abstract = "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.",

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AU - Mori, Junichiro

AU - Ochi, Masanao

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N2 - 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.

AB - 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.

KW - sequence constraint

KW - behavioural constraint

KW - network analysis

U2 - 10.11517/pjsai.JSAI2019.0_1K4E104

DO - 10.11517/pjsai.JSAI2019.0_1K4E104

M3 - Conference contribution

BT - Proceedings of the Annual Conference of the Japanese Society for Artificial Intelligence

PB - The Japanese Society for Artificial Intelligence

ER -

Using sequence constraints for modelling network interactions

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

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Research output

Using sequence constraints for modelling network interactions

Cite this