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 . Social Psychology. Miss Bird. Homework due. Research . and make notes on the key study on minority influence by Moscovici et al (1969) - APFCC. . Complete . the 4-mark past-exam question on conformity . . Sinan. Aral . , . Dylan Walker . Presented by: . Mengqi. . Qiu. (. Mendy. ). 301159832. March 16th. Introduction. Definitions and measurements of Tie Strength, Embeddedness & Social Influence;. 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. 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. Lesley Parish & Jenny Dale . Objectives. Define power, influence and authority. Critically analyse power dynamics in social work practice in the context of moral philosophy and ethics. Explore theories related to power use in practice. 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. Winter 2012. Daniel Weld. Slides adapted from Carlos . Guestrin. , Dan Klein & Luke . Zettlemoyer. Machine Learning. 2. Supervised Learning. Parametric. Reinforcement Learning. Unsupervised Learning. 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. 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. . The costs that an organization incurs even when there is little or no activity are . fixed costs. , or . overhead. .. Finding Marginal Cost. . Variable costs . are usually associated with labor and raw materials and change with the business’s rate of operation or output..