Maximizing the spread of influence through a social network, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.137-146, 2003. ,
DOI : 10.1145/956750.956769
CELF++, Proceedings of the 20th international conference companion on World wide web, WWW '11, pp.47-48, 2011. ,
DOI : 10.1145/1963192.1963217
Efficient influence maximization in social networks, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.199-208, 2009. ,
DOI : 10.1145/1557019.1557047
Scalable influence maximization for independent cascade model in large-scale social networks, Data Mining and Knowledge Discovery, vol.8, issue.3, p.545, 2012. ,
DOI : 10.1137/0208032
IRIE: Scalable and Robust Influence Maximization in Social Networks, 2012 IEEE 12th International Conference on Data Mining, pp.918-923, 2012. ,
DOI : 10.1109/ICDM.2012.79
URL : http://arxiv.org/pdf/1111.4795
Adaptive submodularity: A new approach to active learning and stochastic optimization, COLT, pp.333-345, 2010. ,
Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions, Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, pp.414-429, 2016. ,
DOI : 10.1137/1.9781611974331.ch31
URL : http://epubs.siam.org/doi/pdf/10.1137/1.9781611974331.ch31
Influence maximization through adaptive seeding, ACM SIGecom Exchanges, vol.15, issue.1, pp.32-59, 2016. ,
DOI : 10.1145/1993636.1993740
Adaptive Seeding in Social Networks, 2013 IEEE 54th Annual Symposium on Foundations of Computer Science, pp.459-468, 2013. ,
DOI : 10.1109/FOCS.2013.56
Approximability of Adaptive Seeding under Knapsack Constraints, Proceedings of the Sixteenth ACM Conference on Economics and Computation, EC '15, pp.797-814, 2015. ,
DOI : 10.1016/S0167-6377(03)00062-2
URL : http://www.cs.cornell.edu/%7Elseeman/Docs/AdaptiveSeedingKnapsack.pdf
Scalable methods for adaptively seeding a social network, WWW, 2015, pp.441-451 ,
DOI : 10.1145/2740908.2744108
URL : http://arxiv.org/pdf/1503.01438
Adaptive Rumor Spreading, WINE, vol.42, issue.6, pp.272-285, 2015. ,
DOI : 10.1109/FOCS.2013.56
URL : https://ir.cwi.nl/pub/26956/10.1007_978-3-662-48995-6_20.pdf
Information Diffusion in Social Networks in Two Phases, IEEE Transactions on Network Science and Engineering, vol.3, issue.4, pp.197-210, 2016. ,
DOI : 10.1109/TNSE.2016.2610838
Adaptive Influence Maximization in Dynamic Social Networks, IEEE/ACM Transactions on Networking, vol.25, issue.1, pp.112-125, 2016. ,
DOI : 10.1109/TNET.2016.2563397
URL : http://arxiv.org/pdf/1506.06294
No Time to Observe: Adaptive Influence Maximization with Partial Feedback, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, pp.3908-3914, 2017. ,
DOI : 10.24963/ijcai.2017/546
URL : https://www.ijcai.org/proceedings/2017/0546.pdf
Two-phase influence maximization in social networks with seed nodes and referral incentives, in ICWSM, pp.620-623, 2017. ,
Learning to discover social circles in ego networks, Advances in neural information processing systems, pp.539-547, 2012. ,
Influence Maximization for Cascade Model with Diffusion Decay in Social Networks, ICYCSEE, vol.26, issue.8, pp.418-427, 2016. ,
DOI : 10.1017/CBO9780511815478