PPT-Influence Maximization in Dynamic Social Networks

Honglei Zhuang Yihan Sun Jie Tang Jialin Zhang Xiaoming Sun Influence Maximization 06 05 01 04 06 01 08 01 A B C D E F Probability of influence Marketer Alice. Jie Tang. *. , . Sen. Wu. *. , and . Jimeng. Sun. +. *. Tsinghua University. +. IBM TJ Watson Research Center. Conformity. Conformity is the act of matching . attitudes. , . opinions. , . and . behaviors. Amit. . Goyal. Francesco . Bonchi. Laks. V. S. . Lakshmanan. University of British . Columbia. Yahoo! . Research. University of British Columbia. Present by . Ning. Chen. Content. Motivation. Contribution. Social influence. Conformity (majority influence) and explanations of why people conform, including informational social influence and normative social influence . Types of conformity, including internalisation and compliance . in . Social and Information . Networks. Part II. MPI for Software Systems. Georgia . Institute of Technology. Le Song. Manuel Gomez Rodriguez. KDD 2015. Sydney. learning.mpi-sws.org. /kdd-2015-tutorial/. Honglei. . Zhuang. , . Yihan. Sun, Jie Tang, Jialin Zhang, Xiaoming Sun. Influence Maximization. 0.6. 0.5. 0.1. 0.4. 0.6. 0.1. 0.8. 0.1. A. B. C. D. E. F. Probability . of . influence. Marketer Alice. Lei Shi, Sibai Sun, . Yuan Xuan. , Yue Su, . Hanghang . Tong, Shuai Ma, Yang . Chen. Influence Graph. Initial. Tweet. Re-tweeting Graph. Re-tweets. Citing papers. Source. Paper. Paper Citation Graph. Model representation and analysis. Presented by:. Ayushi Jain Rahul . Bobhate. Natasha Mandal . Ankur. . Sachdeva. Dung T. Nguyen, . Huiyuan. Zhang, . Soham. Das, My T. Thai, Thang N. . Dinh. Xinran He . and David Kempe. University of Southern . California. {xinranhe, . dkempe. }@usc.edu. 08/15/2016. The adoption of new products . can . propagate between nodes . in the social network. 0.8. Social Networks class . Edith Cohen. TAU, December 2014. Today. Diffusion of information/contagion in networks: . Applications:. Influence queries. Influence maximization. Influence similarity. Reachability-based diffusion:. Jingtao Zhu. May 13rd,2016. “Efficient Influence Maximization . in Social Networks. ”. . Written by Chen Wei, Yajun Wang, and Siyu Yang. . Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. Anthony Bonato. Ryerson University. 1. st. Symposium on Spatial Networks. Oxford University. 1. Friendship networks. network of on- and off-line friends form a large web of interconnected links. 2. Geometry of Social Networks. Kenneth Frank, College of Education and Fisheries and Wildlife. Help from: Ann Krause, Ben Michael Pogodzinski, Bo Yan, Min Sun, I-Chen, Chong Min Kim. Cep 991B Fall 2018. To participate on zoom you will click on . Part III: Models. Part 1: Introduction & Theory. History & Big Picture. Network Relevance to Health Research. Network Theory. Connections . & . Positions. Part 2: Points & Lines. Network data. DMR 1609076. 2020 Intellectual Merit. Stuart J. Rowan, University of Chicago. Dynamic covalent chemistries are an exciting class of reactions that have gained attention on account of their ability to access reprocessable and healable polymer networks. We have developed a series of dynamic covalent networks based on reversible thia-Michael reactions (Fig A) and disulfide exchange reactions (Fig D)..