@inproceedings{7fc4585b2a7d4179ab6637d570afacf7,
title = "Social interaction mining in small group discussion using a smart meeting system",
abstract = "In this paper, we propose a mining method to discover high-level semantic knowledge about human social interactions in small group discussion, such as frequent interaction patterns, the role of an individual (e.g., the {"}centrality{"} or {"}power{"}), subgroup interactions (e.g., two persons often interact with each other), and hot sessions. A smart meeting system is developed for capturing and recognizing social interactions. Interaction network in a discussion session is represented as a graph. Interaction graph mining algorithms are designed to analyze the structure of the networks and extract social interaction patterns. Preliminary results show that we can extract several interesting patterns that are useful for interpretation of human behavior in small group discussion.",
keywords = "graph mining, interaction mining, smart meeting, social interaction",
author = "Zhiwen Yu and Xingshe Zhou and Zhiyong Yu and Christian Becker and Yuichi Nakamura",
year = "2011",
doi = "10.1007/978-3-642-23641-9\_6",
language = "英语",
isbn = "9783642236402",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "40--51",
booktitle = "Ubiquitous Intelligence and Computing - 8th International Conference, UIC 2011, Proceedings",
note = "8th International Conference on Ubiquitous Intelligence and Computing, UIC 2011 ; Conference date: 02-09-2011 Through 04-09-2011",
}