Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Diffusion Kernels on Graphs and Other Discrete Input Spaces
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Mining knowledge-sharing sites for viral marketing
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Knowledge-sharing and influence in online social networks via viral marketing
Communications of the ACM - Mobile computing opportunities and challenges
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
Diffusion Kernels on Statistical Manifolds
The Journal of Machine Learning Research
Personalized recommendation driven by information flow
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
Information flow modeling based on diffusion rate for prediction and ranking
Proceedings of the 16th international conference on World Wide Web
A New Product Growth for Model Consumer Durables
Management Science
DiffusionRank: a possible penicillin for web spamming
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Optimal marketing strategies over social networks
Proceedings of the 17th international conference on World Wide Web
A Coalitional Game Model for Heat Diffusion Based Incentive Routing and Forwarding Scheme
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
Ordering innovators and laggards for product categorization and recommendation
Proceedings of the third ACM conference on Recommender systems
Blog cascade affinity: analysis and prediction
Proceedings of the 18th ACM conference on Information and knowledge management
Community-based greedy algorithm for mining top-K influential nodes in mobile social networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A framework for exploring organizational structure in dynamic social networks
Decision Support Systems
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
Exploiting latent information to predict diffusions of novel topics on social networks
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Proceedings of the sixth ACM international conference on Web search and data mining
Social influence based clustering of heterogeneous information networks
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Nearest neighbour based social recommendation using heat diffusion
Proceedings of the 6th ACM India Computing Convention
Learning social network embeddings for predicting information diffusion
Proceedings of the 7th ACM international conference on Web search and data mining
Preference-based mining of top-K influential nodes in social networks
Future Generation Computer Systems
Mining social networks using wave propagation
Computational & Mathematical Organization Theory
Simulating the spread of opinions in online social networks when targeting opinion leaders
Information Systems and e-Business Management
Affinity-driven blog cascade analysis and prediction
Data Mining and Knowledge Discovery
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Social Network Marketing techniques employ pre-existing social networks to increase brands or products awareness through word-of-mouth promotion. Full understanding of social network marketing and the potential candidates that can thus be marketed to certainly offer lucrative opportunities for prospective sellers. Due to the complexity of social networks, few models exist to interpret social network marketing realistically. We propose to model social network marketing using Heat Diffusion Processes. This paper presents three diffusion models, along with three algorithms for selecting the best individuals to receive marketing samples. These approaches have the following advantages to best illustrate the properties of real-world social networks: (1) We can plan a marketing strategy sequentially in time since we include a time factor in the simulation of product adoptions; (2) The algorithm of selecting marketing candidates best represents and utilizes the clustering property of real-world social networks; and (3) The model we construct can diffuse both positive and negative comments on products or brands in order to simulate the complicated communications within social networks. Our work represents a novel approach to the analysis of social network marketing, and is the first work to propose how to defend against negative comments within social networks. Complexity analysis shows our model is also scalable to very large social networks.