Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Why collective inference improves relational classification
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Recovering temporally rewiring networks: a model-based approach
Proceedings of the 24th international conference on Machine learning
Yes, there is a correlation: - from social networks to personal behavior on the web
Proceedings of the 17th international conference on World Wide Web
Influence and correlation in social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Feedback effects between similarity and social influence in online communities
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Temporal-Relational Classifiers for Prediction in Evolving Domains
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Probabilistic classification and clustering in relational data
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
PET: a statistical model for popular events tracking in social communities
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining topic-level influence in heterogeneous networks
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Assessing and ranking structural correlations in graphs
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Individual behavior and social influence in online social systems
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Structural trend analysis for online social networks
Proceedings of the VLDB Endowment
Maximizing product adoption in social networks
Proceedings of the fifth ACM international conference on Web search and data mining
Social network inference of smartphone users based on information diffusion models
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
Finding twitter communities with common interests using following links of celebrities
Proceedings of the 3rd international workshop on Modeling social media
Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Exploring social influence for recommendation: a generative model approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Back-buy prediction based on TriFG
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
We love rock 'n' roll: analyzing and predicting friendship links in Last.fm
Proceedings of the 3rd Annual ACM Web Science Conference
Evaluating geo-social influence in location-based social networks
Proceedings of the 21st ACM international conference on Information and knowledge management
The early-adopter graph and its application to web-page recommendation
Proceedings of the 21st ACM international conference on Information and knowledge management
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Cascade-based community detection
Proceedings of the sixth ACM international conference on Web search and data mining
Models and algorithms for social influence analysis
Proceedings of the sixth ACM international conference on Web search and data mining
Learning the Strength of the Factors Influencing User Behavior in Online Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
On commenting behavior of Facebook users
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Maximizing acceptance probability for active friending in online social networks
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Confluence: conformity influence in large social networks
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Finding contexts of social influence in online social networks
Proceedings of the 7th Workshop on Social Network Mining and Analysis
Attributed graph models: modeling network structure with correlated attributes
Proceedings of the 23rd international conference on World wide web
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Relational autocorrelation is ubiquitous in relational domains. This observed correlation between class labels of linked instances in a network (e.g., two friends are more likely to share political beliefs than two randomly selected people) can be due to the effects of two different social processes. If social influence effects are present, instances are likely to change their attributes to conform to their neighbor values. If homophily effects are present, instances are likely to link to other individuals with similar attribute values. Both these effects will result in autocorrelated attribute values. When analyzing static relational networks it is impossible to determine how much of the observed correlation is due each of these factors. However, the recent surge of interest in social networks has increased the availability of dynamic network data. In this paper, we present a randomization technique for temporal network data where the attributes and links change over time. Given data from two time steps, we measure the gain in correlation and assess whether a significant portion of this gain is due to influence and/or homophily. We demonstrate the efficacy of our method on semi-synthetic data and then apply the method to a real-world social networks dataset, showing the impact of both influence and homophily effects.