Manipulating opinion dynamics in social networks in two phases, The Joint International Workshop on Social Influence Analysis and Mining Actionable Insights from Social Networks, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01800311
, Networks, crowds, and markets, 2010.
DOI : 10.1017/cbo9780511761942
Opinion dynamics and learning in social networks, Dynamic Games and Applications, vol.1, issue.1, pp.3-49, 2011. ,
DOI : 10.1007/s13235-010-0004-1
Opinion maximization in social networks, 2013 International Conference on Data Mining, pp.387-395, 2013. ,
DOI : 10.1137/1.9781611972832.43
URL : https://epubs.siam.org/doi/pdf/10.1137/1.9781611972832.43
, Strategic influence in social networks, vol.43, pp.29-50, 2018.
DOI : 10.1287/moor.2017.0853
URL : https://hal.archives-ouvertes.fr/hal-01158168
Optimal investment strategies for competing camps in a social network: A broad framework, IEEE Transactions 895 on Network Science and Engineering, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01712288
Social influence and opinions, Journal of Mathematical Sociology, vol.15, issue.3-4, pp.193-206, 1990. ,
DOI : 10.1080/0022250x.1990.9990069
Social positions in influence networks, Social Networks, vol.19, issue.3, pp.209-222, 1997. ,
DOI : 10.1017/cbo9780511976735.018
A discrete nonlinear and non-autonomous model of consensus formation, Communications in Difference Equations, pp.227-236, 2000. ,
Opinion dynamics: A multidisciplinary review and perspective on future research, Multidisciplinary Studies in Knowledge and Systems Science, pp.311-332, 2013. ,
Maximizing the spread of influence through a social network, 9th International Conference on Knowledge Discovery and Data Mining, pp.137-146, 2003. ,
Information diffusion in online social networks: A survey, ACM SIGMOD Record, vol.42, issue.1, pp.17-28, 2013. ,
DOI : 10.1145/2503792.2503797
URL : https://hal.archives-ouvertes.fr/hal-00848050
Influence estimation and maximization in continuous-time diffusion networks, ACM Transactions on Information Systems (TOIS), vol.34, issue.2, p.33, 2016. ,
COEVOLVE: A joint point process model for information diffusion and network evolution, Journal 915 of Machine Learning Research, vol.18, pp.1-49, 2017. ,
Continuous opinion dynamics under bounded confidence: A survey, International Journal of Modern Physics C, vol.18, issue.12, pp.1819-1838, 2007. ,
Diffusion in social and information networks: Research problems, probabilistic models and machine learning methods, Proceed-920 ings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.2315-2316, 2015. ,
Reaching a consensus, Journal of the American Statistical Association, vol.69, issue.345, pp.118-121, 1974. ,
Ergodic theorems for weakly interacting infinite systems 925 and the voter model, The Annals of Probability, pp.643-663, 1975. ,
DOI : 10.1214/aop/1176996306
URL : https://doi.org/10.1214/aop/1176996306
Binary opinion dynamics with stubborn agents, ACM Transactions on Economics and Computation, vol.1, issue.4, p.30, 2013. ,
DOI : 10.1145/2538508
Maximizing influence in an Ising network: A mean-field 930 optimal solution, Advances in Neural Information Processing Systems, pp.2495-2503, 2016. ,
Role discovery in networks, IEEE Transactions on Knowledge and Data Engineering, vol.27, issue.4, pp.1112-1131, 2015. ,
DOI : 10.1109/tkde.2014.2349913
URL : http://arxiv.org/pdf/1405.7134.pdf
Adaptive on-line page importance computa-935 tion, Proceedings of the 12th international conference on World Wide Web, pp.280-290, 2003. ,
DOI : 10.1145/775189.775192
Communicability across evolving networks, Physical Review E, vol.83, issue.4, p.46120, 2011. ,
DOI : 10.1103/physreve.83.046120
URL : http://www.reading.ac.uk/web/FILES/maths/preprint_10_32_Grindrod.pdf
, A dynamical system for pagerank with time-dependent 940 teleportation, vol.10, pp.188-217, 2014.
DOI : 10.1080/15427951.2013.814092
URL : http://arxiv.org/pdf/1211.4266.pdf
Clash of the contagions: Cooperation and competition in information diffusion, Proceedings of the Twelfth International Conference on Data Mining (ICDM), pp.539-548, 2012. ,
A game-theoretic analysis of a com-945 petitive diffusion process over social networks, International Workshop on Internet and Network Economics, pp.1-14, 2012. ,
Complexity of equilibrium in competitive diffusion games on social networks, Automatica, vol.68, pp.100-110, 2016. ,
Competitive influence maximization in so-950 cial networks, 3rd International Workshop on Web and Internet Economics, pp.306-311, 2007. ,
DOI : 10.1007/978-3-540-77105-0_31
URL : http://www-rcf.usc.edu/~dkempe/publications/viral-competitive.pdf
Competitive contagion in networks, Games and Economic Behavior ,
DOI : 10.2139/ssrn.1950644
URL : http://www.cis.upenn.edu/%7Emkearns/papers/GoyalKearnsSTOCFinal.pdf
Competitive influence in social 955 networks: Convergence, submodularity, and competition effects, 14th International Conference on Autonomous Agents & Multiagent Systems, pp.1767-1768, 2015. ,
Opinion dynamics in social networks with stubborn agents: Equilibrium and convergence rate, Automatica, vol.50, issue.12, pp.3209-3215, 2014. ,
DOI : 10.1016/j.automatica.2014.10.034
Competing for customers in a social network: The quasi-linear case, 2nd International Workshop on Web and Internet Economics, pp.162-173, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00367866
Competitive targeted advertising over networks, Operations Research, vol.64, issue.3, pp.705-720, 2016. ,
DOI : 10.1287/opre.2015.1430
Influence maximization through adaptive seeding, ACM SIGecom Exchanges, vol.15, issue.1, pp.32-59, 2016. ,
DOI : 10.1145/2994501.2994503
Adaptive submodularity: theory and applications in active learning and stochastic optimization, Journal of Artificial Intelligence Research, vol.42, issue.1, pp.427-486, 2011. ,
Adaptive seeding in social networks, 54th Annual IEEE Symposium on Foundations of Computer Science, pp.459-468, 2013. ,
DOI : 10.1109/focs.2013.56
URL : http://www.cs.cornell.edu/~lseeman/Docs/AdaptiveSeedingFocs.pdf
Approximability of adaptive seeding under knapsack constraints, 16th ACM Conference on Economics and Computation, pp.797-814, 2015. ,
DOI : 10.1145/2764468.2764512
URL : http://www.cs.cornell.edu/%7Elseeman/Docs/AdaptiveSeedingKnapsack.pdf
Scalable methods for adaptively seeding a social network, 24th International Conference on World Wide Web, pp.441-451, 2015. ,
DOI : 10.1145/2740908.2744108
URL : http://arxiv.org/pdf/1503.01438
Adaptive rumor spreading, 11th International Conference on Web and Internet Economics, pp.272-285, 2015. ,
DOI : 10.1007/978-3-662-48995-6_20
URL : https://doi.org/10.1007/978-3-662-48995-6_20
Locally 980 adaptive optimization: Adaptive seeding for monotone submodular functions, 27th ACM-SIAM Symposium on Discrete Algorithms, SIAM, pp.414-429, 2016. ,
DOI : 10.1137/1.9781611974331.ch31
URL : https://epubs.siam.org/doi/pdf/10.1137/1.9781611974331.ch31
Information diffusion in social networks in two phases, IEEE Transactions on Network Science and Engineering, vol.3, issue.4, pp.197-210, 2016. ,
Effectiveness of diffusing information through a social network in multiple phases, IEEE Global Communications Conference, pp.1-7, 2018. ,
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, 26th 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
Multi-round influence maximization, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge 995 ,
DOI : 10.1145/3219819.3220101
, Discovery & Data Mining, pp.2249-2258, 2018.
Two-phase influence maximization in social networks with seed nodes and referral incentives, International AAAI Conference on Web and Social Media, pp.620-623, 2017. ,
Optimal multiphase invest-1000 ment strategies for influencing opinions in a social network, 17th International Conference on Autonomous Agents & Multiagent Systems, pp.1927-1929, 2018. ,
Consensus problems on networks with antagonistic interactions, IEEE Transactions on Automatic Control, vol.58, issue.4, pp.935-946, 2013. ,
DOI : 10.1109/tac.2012.2224251
Opinion dynamics in social networks with hostile camps: Consensus vs. polarization, IEEE Transactions on Automatic Control, vol.61, issue.6, pp.1524-1536, 2016. ,
DOI : 10.1109/tac.2015.2471655
URL : http://arxiv.org/pdf/1508.05034
A new status index derived from sociometric analysis, Psychometrika, vol.18, issue.1, pp.39-43, 1953. ,
DOI : 10.1007/bf02289026
, Convex optimization, 2004.
, Studies in linear and nonlinear programming, 1958.
, An introduction to game theory, vol.3, p.1015
Efficient influence maximization in social networks, 15th International Conference on Knowledge Discovery and Data Mining, pp.199-208, 2009. ,
DOI : 10.1145/1557019.1557047
Scalable influence maximization for prevalent viral 1020 marketing in large-scale social networks, 16th International Conference on Knowledge Discovery and Data Mining, pp.1029-1038, 2010. ,
DOI : 10.1145/1835804.1835934
An information flow model for conflict and fission in small groups, Journal of Anthropological Research, vol.33, issue.4, pp.452-473, 1977. ,
DOI : 10.1086/jar.33.4.3629752
URL : http://arxiv.org/pdf/1707.03587
An integrated framework for competitive multi-channel marketing of 1025 multi-featured products, Proceedings of the 11th International Conference on Communication Systems & Networks, pp.391-394, 2019. ,
Topic-sensitive pagerank, Proceedings of the 11th international conference on World Wide Web, pp.517-526, 2002. ,
DOI : 10.1145/511446.511513
Scaling personalized web search, Proceedings of the 12th 1030 international conference on World Wide Web, pp.271-279, 2003. ,
DOI : 10.1145/775152.775191