Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
On the Best Rank-1 and Rank-(R1,R2,. . .,RN) Approximation of Higher-Order Tensors
SIAM Journal on Matrix Analysis and Applications
On the bursty evolution of blogspace
WWW '03 Proceedings of the 12th international conference on World Wide Web
A large-scale study of the evolution of web pages
WWW '03 Proceedings of the 12th international conference on World Wide Web
Effective page refresh policies for Web crawlers
ACM Transactions on Database Systems (TODS)
What's new on the web?: the evolution of the web from a search engine perspective
Proceedings of the 13th international conference on World Wide Web
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Structural analysis of network traffic flows
Proceedings of the joint international conference on Measurement and modeling of computer systems
Graphs over time: densification laws, shrinking diameters and possible explanations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Higher-Order Web Link Analysis Using Multilinear Algebra
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Proceedings of the 15th international conference on World Wide Web
Rate of change and other metrics: a live study of the world wide web
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
ExpertiseNet: relational and evolutionary expert modeling
UM'05 Proceedings of the 10th international conference on User Modeling
Structural and temporal analysis of the blogosphere through community factorization
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Word usage and posting behaviors: modeling blogs with unobtrusive data collection methods
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Temporal and information flow based event detection from social text streams
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Vlogging: A survey of videoblogging technology on the web
ACM Computing Surveys (CSUR)
Efficient term cloud generation for streaming web content
ICWE'10 Proceedings of the 10th international conference on Web engineering
Quantifying sentiment and influence in blogspaces
Proceedings of the First Workshop on Social Media Analytics
SCENT: Scalable compressed monitoring of evolving multirelational social networks
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
Pattern change discovery between high dimensional data sets
Proceedings of the 20th ACM international conference on Information and knowledge management
Information Retrieval on the Blogosphere
Foundations and Trends in Information Retrieval
Hierarchically clustered technical blogs
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Fast similarity computation in factorized tensors
SISAP'12 Proceedings of the 5th international conference on Similarity Search and Applications
Ontology-based blog collection and profile-based personalised ranking
International Journal of Computer Applications in Technology
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The blogosphere - the totality of blog-related Web sites - has become a great source of trend analysis in areas such as product survey, customer relationship, and marketing. Existing approaches are based on simple counts, such as the number of entries or the number of links. In this paper, we introduce a novel concept, coined eigen-trend, to represent the temporal trend in a group of blogs with common interests and propose two new techniques for extracting eigen-trends in blogs. First, we propose a trend analysis technique based on the singular value decomposition. Extracted eigen-trends provide new insights into multiple trends on the same keyword. Second, we propose another trend analysis technique based on a higher-order singular value decomposition. This analyzes the blogosphere as a dynamic graph structure and extracts eigen-trends that reflect the structural changes of the blogosphere over time. Experimental studies based on synthetic data sets and a real blog data set show that our new techniques can reveal a lot of interesting trend information and insights in the blogosphere that are not obtainable from traditional count-based methods.