10 Result(s)
within
YaJun Du
Database Management
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Article
DNETC: dynamic network embedding preserving both triadic closure evolution and community structures
Network embedding, a central issue of deep learning preprocessing on social networks, aims to transform network elements (vertices) into low-dimensional latent vector space while preserving the topology and pr...
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Chapter and Conference Paper
Emotion Role Identification in Social Network
Emotion is a status that combines people’s feelings, thoughts, and behaviors and plays a crucial role in the communication between people. Considerable study suggests that human emotions can also be conveyed t...
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Chapter and Conference Paper
Tracking Topic Trends for Short Texts
It is a critical task to infer discriminative and coherent topics from short texts. Furthermore, people not only want to know what kinds of topics can be extract from these short texts, but also desire to obta...
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Chapter and Conference Paper
Detecting Spammers in Sina Micro-blog Based on Multiple Features
As the explosive growth of micro-blog users, which resulting in a large number of spammers. Not only for the calculation of user influences and social network relationship analysis has brought new challenges,...
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Chapter and Conference Paper
A User Personality-Similarity Model for Personalized Followee Recommendation in SINA Microblog
Followee recommendation plays an important role in information sharing over microblogging platforms. But as the popularity of microblogging sites increases, the difficulty of deciding who to follow also increa...
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Chapter and Conference Paper
Network Structural Balance Analysis for Sina Microblog Based on Particle Swarm Optimization Algorithm
Research on structure balance of networks is of great importance for theoretical research and practical application, and received extensive attention of scholars from diverse fields in recent years. The comput...
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Chapter and Conference Paper
A Hybrid Method to Sentiment Analysis for Chinese Microblog
In recent years, more and more netizens are willing to express their opinions on social media platforms. Sentiment analysis is effective and valuable to extract useful information out of massive text documents...
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Chapter and Conference Paper
A CWTM Model of Topic Extraction for Short Text
The topic model is designed to find potential topics from the massive micro-blog data. On the one hand, the extraction of potential topics contributes to the next analysis. On the other hand, because of the p...
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Chapter and Conference Paper
A Topic-Specific Web Crawler with Concept Similarity Context Graph Based on FCA
With Internet growing exponentially, topic-specific web crawler is becoming more and more popular in the web data mining. How to order the unvisited URLs was studied deeply, we present the notion of concept si...
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Chapter and Conference Paper
A Method for Building Concept Lattice Based on Matrix Operation
As a power tool for analyzing data, concept lattice has been extensively applied in several areas such as knowledge discovery, software engineering and case-based reasoning. However, building concept lattice i...
