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Super mediator – A new centrality measure of node importance for information diffusion over social network

Information sciences, 2016-02, Vol.329, p.985-1000

2016

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Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis

Advances in Machine Learning, p.322-337

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Blocking links to minimize contamination spread in a social network

ACM transactions on knowledge discovery from data, 2009-04, Vol.3 (2), p.1-23

2009

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An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network

Foundations of Intelligent Systems, p.116-126

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Accurate and efficient detection of critical links in network to minimize information loss

Journal of intelligent information systems, 2018-10, Vol.51 (2), p.235-255

2018

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PRICAI’98: Topics in Artificial Intelligence: 5th Pacific Rim International Conference on Artificial Intelligence Singapore, November 22–27, 1998 Proceedings

1998

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General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment

Social network analysis and mining, 2021-12, Vol.11 (1), p.70, Article 70

2021

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A selective sampling approach to active feature selection

Artificial intelligence, 2004-11, Vol.159 (1), p.49-74

2004

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Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability

PRICAI 2016: Trends in Artificial Intelligence, p.419-432

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Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes

International journal of data science and analytics, 2020-03, Vol.9 (2), p.175-195

2020

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Which is more influential, “Who” or “When” for a user to rate in online review site?

Intelligent data analysis, 2018-01, Vol.22 (3), p.639-657

2018

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Selecting Information Diffusion Models over Social Networks for Behavioral Analysis

Machine Learning and Knowledge Discovery in Databases, p.180-195

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An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data

Lecture notes in computer science, 2000, p.13-23

2000

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Discovering Influential Nodes for SIS Models in Social Networks

Discovery Science, p.302-316

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Critical Node Identification based on Articulation Point Detection for Uncertain Network

International Journal of Networking and Computing, 2019, Vol.9(2), pp.201-216

2019

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Change point detection for burst analysis from an observed information diffusion sequence of tweets

Journal of intelligent information systems, 2015-04, Vol.44 (2), p.243-269

2015

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Speeding-up node influence computation for huge social networks

International journal of data science and analytics, 2016-04, Vol.1 (1), p.3-16

2016

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Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model

Discovery Science, p.150-164

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Learning to predict opinion share and detect anti-majority opinionists in social networks

Journal of intelligent information systems, 2013-08, Vol.41 (1), p.5-37

2013

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Detecting changes in information diffusion patterns over social networks

ACM transactions on intelligent systems and technology, 2013-06, Vol.4 (3), p.1-23

2013

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Which Targets to Contact First to Maximize Influence over Social Network

Social Computing, Behavioral-Cultural Modeling and Prediction, p.359-367

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Efficient Learning of User Conformity on Review Score

Social Computing, Behavioral-Cultural Modeling, and Prediction, p.182-192

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Learning information diffusion model in a social network for predicting influence of nodes

Intelligent data analysis, 2011-01, Vol.15 (4), p.633-652

2011

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Constructing outlier-free histograms with variable bin-width based on distance minimization

Intelligent data analysis, 2023-01, Vol.27 (1), p.5-29

2023

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Discovey Science: First International Conference, DS'98 Fukuoka, Japan, December 14-16, 1998 Proceedings

1, 1998

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Super mediator – A new centrality measure of node importance for information diffusion over social network

Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis

Blocking links to minimize contamination spread in a social network

An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network

Accurate and efficient detection of critical links in network to minimize information loss

PRICAI’98: Topics in Artificial Intelligence: 5th Pacific Rim International Conference on Artificial Intelligence Singapore, November 22–27, 1998 Proceedings

General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment

A selective sampling approach to active feature selection

Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability

Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes

Which is more influential, “Who” or “When” for a user to rate in online review site?

Selecting Information Diffusion Models over Social Networks for Behavioral Analysis

An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data

Discovering Influential Nodes for SIS Models in Social Networks

Critical Node Identification based on Articulation Point Detection for Uncertain Network

Change point detection for burst analysis from an observed information diffusion sequence of tweets

Speeding-up node influence computation for huge social networks

Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model

Learning to predict opinion share and detect anti-majority opinionists in social networks

Detecting changes in information diffusion patterns over social networks

Which Targets to Contact First to Maximize Influence over Social Network

Efficient Learning of User Conformity on Review Score

Learning information diffusion model in a social network for predicting influence of nodes

Constructing outlier-free histograms with variable bin-width based on distance minimization

Discovey Science: First International Conference, DS'98 Fukuoka, Japan, December 14-16, 1998 Proceedings

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