A Structural Evolution-Based Anomaly Detection Method for Generalized Evolving Social Networks
出版年份 2020 全文链接
标题
A Structural Evolution-Based Anomaly Detection Method for Generalized Evolving Social Networks
作者
关键词
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出版物
COMPUTER JOURNAL
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2020-12-04
DOI
10.1093/comjnl/bxaa168
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Unified Framework with Multi-source Data for Predicting Passenger Demands of Ride Services
- (2019) Yuandong Wang et al. ACM Transactions on Knowledge Discovery from Data
- Recommender systems based on multiple social networks correlation
- (2018) Wei Yu et al. Future Generation Computer Systems-The International Journal of eScience
- A Set-Based Genetic Algorithm for Interval Many-Objective Optimization Problems
- (2018) Dunwei Gong et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Multi-Objective Genetic Algorithm for overlapping community detection based on edge encoding
- (2018) Gema Bello-Orgaz et al. INFORMATION SCIENCES
- An Event Detection Method for Social Networks Based on Evolution Fluctuations of Nodes
- (2018) Huan Wang et al. IEEE Access
- Nodes' Evolution Diversity and Link Prediction in Social Networks
- (2017) Huan Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Clustering-based link prediction in scientific coauthorship networks
- (2017) Yang Ma et al. INTERNATIONAL JOURNAL OF MODERN PHYSICS C
- Adaptive online event detection in news streams
- (2017) Linmei Hu et al. KNOWLEDGE-BASED SYSTEMS
- Social network model for crowd anomaly detection and localization
- (2017) Rima Chaker et al. PATTERN RECOGNITION
- Understanding Graph-Based Trust Evaluation in Online Social Networks
- (2016) Wenjun Jiang et al. ACM COMPUTING SURVEYS
- Online indexing and clustering of social media data for emergency management
- (2016) Daniela Pohl et al. NEUROCOMPUTING
- An event detection method for social networks based on hybrid link prediction and quantum swarm intelligent
- (2016) Wenbin Hu et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Citation count prediction as a link prediction problem
- (2015) Nataliia Pobiedina et al. APPLIED INTELLIGENCE
- Efficient temporal mining of micro-blog texts and its application to event discovery
- (2015) Giovanni Stilo et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Triadic Closure Pattern Analysis and Prediction in Social Networks
- (2015) Hong Huang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Toward link predictability of complex networks
- (2015) Linyuan Lü et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Detecting Communities with Different Sizes for Social Network Analysis
- (2014) Lihua Zhou et al. COMPUTER JOURNAL
- Graph based anomaly detection and description: a survey
- (2014) Leman Akoglu et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Analysis of network traffic features for anomaly detection
- (2014) Félix Iglesias et al. MACHINE LEARNING
- Maximum entropy networks are more controllable than preferential attachment networks
- (2014) Lvlin Hou et al. PHYSICS LETTERS A
- Comparison Study of Swarm Intelligence Techniques for the Annual Crop Planning Problem
- (2013) Sivashan Chetty et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A study of homophily on social media
- (2011) Halil Bisgin et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Predicting missing links via local information
- (2009) Tao Zhou et al. EUROPEAN PHYSICAL JOURNAL B
- Patterns and dynamics of users' behavior and interaction: Network analysis of an online community
- (2009) Pietro Panzarasa et al. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
- Similarity index based on local paths for link prediction of complex networks
- (2009) Linyuan Lü et al. PHYSICAL REVIEW E
- Energy Landscape of Social Balance
- (2009) Seth A. Marvel et al. PHYSICAL REVIEW LETTERS
- Hierarchical structure and the prediction of missing links in networks
- (2008) Aaron Clauset et al. NATURE
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