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Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights

Social Informatics, p.40-54

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Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling

Applied network science, 2019-08, Vol.4 (1), p.1-24, Article 66

2019

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Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas

Applied network science, 2018-07, Vol.3 (1), p.1-14, Article 18

2018

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Characteristics of information diffusion in blogs, in relation to information source type

Neurocomputing (Amsterdam), 2012-01, Vol.76 (1), p.84-92

2012

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Extracting Communities from Complex Networks by the k-Dense Method

IEICE transactions on fundamentals of electronics, communications and computer sciences, 2008, Vol.E91-A (11), p.3304-3311

2008

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Extracting Communities in Networks Based on Functional Properties of Nodes

Knowledge Management and Acquisition for Intelligent Systems, p.328-334

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SIR-Extended Information Diffusion Model of False Rumor and its Prevention Strategy for Twitter

Journal of advanced computational intelligence and intelligent informatics, 2014-07, Vol.18 (4), p.598-607

2014

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Camus, Guigone: Tabiteuea Kiribati

Anthropos, 2015, Vol.110 (2), p.607-609

Kazama, Kazuhiro

2015

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Analysis of Leading Communities Contributing to arXiv Information Distribution on Twitter

IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2021, p.40-47

2021

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Information acquisition from the web by social networks(<Special feature>Futures of information retrieval)

The Journal of Information Science and Technology Association, 2013/01/01, Vol.63(1), pp.28-33

KAZAMA, Kazuhiro

2013

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Distribution Pattern Analysis of Associated Geographical Names on Transportation Network

Transactions of the Japanese Society for Artificial Intelligence, 2012, Vol.27(2), pp.34-39

KAZAMA, Kazuhiro

2012

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A New Group Centrality Measure for Maximizing the Connectedness of Network Under Uncertain Connectivity

Complex Networks and Their Applications VII, p.3-14

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How Did We Used Twitter, How Communicate in Twitter at Catastrophic Earthquake in Japan

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 2013/02/15, Vol.25(1), pp.598-608

2013

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Information sharing on Twitter during the 2011 catastrophic earthquake

Proceedings of the 22nd International Conference on World Wide Web, 2013, p.1025-1028

2013

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Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning

Complex Networks & Their Applications VI, p.1210-1222

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Clustering and Visualizing Functionally Similar Regions in Large-Scale Spatial Networks

Journal of information processing (Tokyo), 2017, Vol.25, p.398-406

2017

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Visualization of Functional Community Structure in Complex Network

Journal of the Visualization Society of Japan, 2016, Vol.36(141), pp.14-20

2016

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Community Extraction Method of Road Networks Based on Betweenness Contribution

Transactions of the Japanese Society for Artificial Intelligence, 2020/01/01, Vol.35(1), pp.F-wd12_1-11

2020

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Proposing Centrality Measures Considering Actual Distances and Applications to Extracting Important Sightseeing Spots

Transactions of the Japanese Society for Artificial Intelligence, 2015/11/01, Vol.30(6), pp.703-712

2015

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MDSR: An Eigenvector Approach to Core Analysis of Multiple Directed Graphs

PRICAI 2014: Trends in Artificial Intelligence, p.447-458

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媒介度に基づく道路ネットワークのコミュニティ抽出法

人工知能学会論文誌, 2020/01/01, Vol.35(1), pp.F-wd12_1-11

2020

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Acceleration of Functional Cluster Extraction and Analysis of Cluster Affinity

Machine Learning Techniques for Online Social Networks, 2018, p.1-22

2018

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Estimating Network Structure from Anonymous Ego-centric Information

Knowledge Management and Acquisition for Smart Systems and Services, p.236-245

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Proposal of AIDM: Agent-based Information Diffusion Model

Transactions of the Japanese Society for Artificial Intelligence, 2016, Vol.31 (1), p.NFC-C_1-13

2016

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Proposal of AIDM: Agent-based Information Diffusion Model

Transactions of the Japanese Society for Artificial Intelligence, 2016/01/06, Vol.31(1), pp.NFC-C_1-13

2016

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Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights

Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling

Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas

Characteristics of information diffusion in blogs, in relation to information source type

Extracting Communities from Complex Networks by the k-Dense Method

Extracting Communities in Networks Based on Functional Properties of Nodes

SIR-Extended Information Diffusion Model of False Rumor and its Prevention Strategy for Twitter

Camus, Guigone: Tabiteuea Kiribati

Analysis of Leading Communities Contributing to arXiv Information Distribution on Twitter

Information acquisition from the web by social networks(<Special feature>Futures of information retrieval)

Distribution Pattern Analysis of Associated Geographical Names on Transportation Network

A New Group Centrality Measure for Maximizing the Connectedness of Network Under Uncertain Connectivity

How Did We Used Twitter, How Communicate in Twitter at Catastrophic Earthquake in Japan

Information sharing on Twitter during the 2011 catastrophic earthquake

Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning

Clustering and Visualizing Functionally Similar Regions in Large-Scale Spatial Networks

Visualization of Functional Community Structure in Complex Network

Community Extraction Method of Road Networks Based on Betweenness Contribution

Proposing Centrality Measures Considering Actual Distances and Applications to Extracting Important Sightseeing Spots

MDSR: An Eigenvector Approach to Core Analysis of Multiple Directed Graphs

媒介度に基づく道路ネットワークのコミュニティ抽出法

Acceleration of Functional Cluster Extraction and Analysis of Cluster Affinity

Estimating Network Structure from Anonymous Ego-centric Information

Proposal of AIDM: Agent-based Information Diffusion Model

Proposal of AIDM: Agent-based Information Diffusion Model

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