PPT-Learning Influence Probabilities in Social Networks

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. Chapter 2. 1. Chapter 2, Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Importance of Nodes. 2. Importance of Nodes. Not all nodes are equally important. 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. 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. 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 . Moving On from . Homelessness. Discussion:. Due to the heterogeneous sample, the variety of responses obtained showed there is . no . common . form . of social networks for all homeless people. . However, some common themes emerged. . Deep Learning @ . UvA. UVA Deep Learning COURSE - Efstratios Gavves & Max Welling. LEARNING WITH NEURAL NETWORKS . - . PAGE . 1. Machine Learning Paradigm for Neural Networks. The Backpropagation algorithm for learning with a neural network. Recall the hidden Markov model (HMM). a finite state automata with nodes that represent hidden states (that is, things we cannot necessarily observe, but must infer from data) and two sets of links. transition – probability that this state will follow from the previous state. Definitions and concepts . How do they networks relate to health?. Case studies . Session outcomes . To outline the nature of social and community networks . To define the concepts of social support and social capital . Steven Procopio, Ph.D.. PAR Policy Director. PAR is an independent voice, offering solutions to critical public issues in Louisiana through accurate, objective research and focusing public attention on those solutions.. 1.What . is conformity?. 2.Why . do you think people in society conform. ?. 3.What . is obedience?. 5.Who . in society do we obey?. 6.Can . you think of examples where people in society have resisted against conformity or obedience? . 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 . I . toss a penny and observe whether it lands heads up or tails up. Suppose the penny is fair, i.e., the probability of heads is 1/2 and the probability of tails is 1/2. This means. a. . every . occurrence of a head must be balanced by a tail in one of the next two or three tosses.. 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.