Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Information diffusion through blogspace
ACM SIGKDD Explorations Newsletter
The dynamics of viral marketing
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Blocking links to minimize contamination spread in a social network
ACM Transactions on Knowledge Discovery from Data (TKDD)
Extracting influential nodes for information diffusion on a social network
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Minimizing the spread of contamination by blocking links in a network
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Extracting influential nodes on a social network for information diffusion
Data Mining and Knowledge Discovery
Inferring networks of diffusion and influence
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Selecting information diffusion models over social networks for behavioral analysis
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
On the Vulnerability of Large Graphs
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Behavioral analyses of information diffusion models by observed data of social network
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Predicting information diffusion on social networks with partial knowledge
Proceedings of the 21st international conference companion on World Wide Web
Predicting information diffusion in social networks using content and user's profiles
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Detecting changes in information diffusion patterns over social networks
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Information diffusion in online social networks: a survey
ACM SIGMOD Record
Learning social network embeddings for predicting information diffusion
Proceedings of the 7th ACM international conference on Web search and data mining
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Information diffusion over a social network is analyzed by modeling the successive interactions of neighboring nodes as probabilistic processes of state changes. We address the problem of estimating parameters (diffusion probability and time-delay parameter) of the probabilistic model as a function of the node attributes from the observed diffusion data by formulating it as the maximum likelihood problem. We show that the parameters are obtained by an iterative updating algorithm which is efficient and is guaranteed to converge. We tested the performance of the learning algorithm on three real world networks assuming the attribute dependency, and confirmed that the dependency can be correctly learned. We further show that the influence degree of each node based on the link-dependent diffusion probabilities is substantially different from that obtained assuming a uniform diffusion probability which is approximated by the average of the true link-dependent diffusion probabilities.