PPT-Robust Influence Maximization

Xinran He and David Kempe University of Southern California xinranhe dkempe uscedu 08152016 The adoption of new products can propagate between nodes in the social network 08. Multiagent. Settings. Prashant Doshi. University of Georgia, USA. http://thinc.cs.uga.edu. Yingke Chen. Post doctoral student. Yifeng Zeng. Reader, Teesside Univ.. Previously: Assoc Prof., Aalborg . Two Types of Social Influence. Techniques of Social Influence. Persuasion. Resisting Persuasion. Social Influence and Persuasion. James Warren Jones . Jonestown (1978). How could Jim Jones have influenced his followers to such a deep level that more than 900 committed revolutionary suicide?. Machine Learning. Last Time. Expectation Maximization. Gaussian Mixture Models. Today. EM Proof. Jensen’s Inequality. Clustering sequential data. EM over . HMMs. EM in any Graphical Model. Gibbs Sampling. 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 . Profit-Maximization. Economic Profit. A firm uses inputs j = 1…,m to make products i = 1,…n.. Output levels are y. 1. ,…,y. n. .. Input levels are x. 1. ,…,x. m. .. Product prices are p. 1. ,…,p. 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. Donna Vandergrift, Associate Professor, . Psychology. Welcome Back Spring 2016. www.donnavandergrift.com. dvandergrift@bcc.edu. Social Influence and Persuasion. Convincing others to behave the way you want them to can be difficult, but by understanding some psychology principles can help you be more effective. Muchnik. , Aral, . Taylor. Present by . Haiteng. Sun. Introduction. our society is increasingly relying on the digitized, aggregated opinions of others to make our own . decision. Question?. 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. 1. Et trygt og robust samfunn - der alle tar ansvar. 2. MTF-landsmøte. 2013. SAMHANDLINGSREFORMEN. 6. mai 2013. Arild Hammer. St. meld. Nr. 47. (2008 – 2009). Et trygt og robust samfunn - der alle tar ansvar. Michael Albert and Vincent Conitzer. malbert@cs.duke.edu. and . conitzer@cs.duke.edu. . Prior-Dependent Mechanisms. In many situations we’ve seen, optimal mechanisms are prior dependent. Myerson auction for independent bidder valuations.