Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Recommending collaboration with social networks: a comparative evaluation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Diffusion Kernels on Graphs and Other Discrete Input Spaces
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Mining newsgroups using networks arising from social behavior
WWW '03 Proceedings of the 12th international conference on World Wide Web
On the bursty evolution of blogspace
WWW '03 Proceedings of the 12th international conference on World Wide Web
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Social and temporal structures in everyday collaboration
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A community-aware search engine
Proceedings of the 13th international conference on World Wide Web
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Exploring the community structure of newsgroups
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Query Mining for Community Based Web Search
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
The predictive power of online chatter
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Accelerating cross-project knowledge collaboration using collaborative filtering and social networks
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
Probabilistic models for discovering e-communities
Proceedings of the 15th international conference on World Wide Web
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Proceedings of the 15th international conference on World Wide Web
Proceedings of the 2006 international workshop on Mining software repositories
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Capturing community search expertise for personalized web search using snippet-indexes
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
On the community-based explanation of search results
Proceedings of the 12th international conference on Intelligent user interfaces
Enhancing clustering blog documents by utilizing author/reader comments
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Why we search: visualizing and predicting user behavior
Proceedings of the 16th international conference on World Wide Web
Topic sentiment mixture: modeling facets and opinions in weblogs
Proceedings of the 16th international conference on World Wide Web
Information flow modeling based on diffusion rate for prediction and ranking
Proceedings of the 16th international conference on World Wide Web
Mining and Visualizing the Evolution of Subgroups in Social Networks
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
ARSA: a sentiment-aware model for predicting sales performance using blogs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Structural and temporal analysis of the blogosphere through community factorization
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Identifying active subgroups in online communities
CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
Identifying opinion leaders in the blogosphere
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Blog Community Discovery and Evolution Based on Mutual Awareness Expansion
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Collaboration over time: characterizing and modeling network evolution
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Community detection in large-scale social networks
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Inferring agent dynamics from social communication network
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Discovering information diffusion paths from blogosphere for online advertising
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising
Statistical analysis of the social network and discussion threads in slashdot
Proceedings of the 17th international conference on World Wide Web
Dynamic prediction of communication flow using social context
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Can blog communication dynamics be correlated with stock market activity?
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Multi-scale characterization of social network dynamics in the blogosphere
Proceedings of the 17th ACM conference on Information and knowledge management
Proceedings of the 18th international conference on World wide web
Social Synchrony: Predicting Mimicry of User Actions in Online Social Media
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Hi-index | 0.00 |
This article analyzes communication within a set of individuals to extract the representative prototypical groups and provides a novel framework to establish the utility of such groups. Corporations may want to identify representative groups (which are indicative of the overall communication set) because it is easier to track the prototypical groups rather than the entire set. This can be useful for advertising, identifying “hot” spots of resource consumption as well as in mining representative moods or temperature of a community. Our framework has three parts: extraction, characterization, and utility of prototypical groups. First, we extract groups by developing features representing communication dynamics of the individuals. Second, to characterize the overall communication set, we identify a subset of groups within the community as the prototypical groups. Third, we justify the utility of these prototypical groups by using them as predictors of related external phenomena; specifically, stock market movement of technology companies and political polls of Presidential candidates in the 2008 U.S. elections. We have conducted extensive experiments on two popular blogs, Engadget and Huffington Post. We observe that the prototypical groups can predict stock market movement/political polls satisfactorily with mean error rate of 20.32%. Further, our method outperforms baseline methods based on alternative group extraction and prototypical group identification methods. We evaluate the quality of the extracted groups based on their conductance and coverage measures and develop metrics: predictivity and resilience to evaluate their ability to predict a related external time-series variable (stock market movement/political polls). This implies that communication dynamics of individuals are essential in extracting groups in a community, and the prototypical groups extracted by our method are meaningful in characterizing the overall communication sets.