“Connected” At Last Networked Life CIS 112 Spring 2010 Prof. Michael Kearns.

Slides:



Advertisements
Similar presentations
“Globalization and Human Rights: It’s a Small World after All”
Advertisements

Agent-based Modeling: A Brief Introduction Louis J. Gross The Institute for Environmental Modeling Departments of Ecology and Evolutionary Biology and.
Unit 7: Fitness testing for sport and exercise
Models of Network Formation Networked Life NETS 112 Fall 2013 Prof. Michael Kearns.
Course Introduction and Overview Networked Life Market and Social Systems Engineering (MKSE) 112 Fall 2012 Prof. Michael Kearns.
Presentation Topic : Modeling Human Vaccinating Behaviors On a Disease Diffusion Network PhD Student : Shang XIA Supervisor : Prof. Jiming LIU Department.
Course Overview and Introduction Networked Life CSE 112 Spring 2005 Prof. Michael Kearns.
Course Introduction and Overview Networked Life CIS 112 Spring 2008 Prof. Michael Kearns.
Strategic Models of Network Formation Networked Life CIS 112 Spring 2010 Prof. Michael Kearns.
Course Introduction and Overview Networked Life CIS 112 Spring 2009 Prof. Michael Kearns.
Contagion, Tipping and Navigation in Networks Networked Life CSE 112 Spring 2007 Prof. Michael Kearns.
The small-world problem
Course Introduction and Overview Networked Life CIS 112 Spring 2010 Prof. Michael Kearns.
Introduction to Game Theory and Behavior Networked Life CIS 112 Spring 2009 Prof. Michael Kearns.
Course Overview and Introduction Networked Life CSE 112 Spring 2004 Prof. Michael Kearns.
7/2/2015Al Crispo1 The Tipping Point. 7/2/2015Al Crispo2 Three Rules of The Tipping Point 1. The Law of the Few 2. The Stickiness Factor 3. The Power.
Clustering and spreading of behavior and opinion in social networks Lazaros Gallos Levich Institute, City College of New York Hernan A. Makse - Shlomo.
Growing Up In Ireland Research Conference The Health of 9-Year-Olds.
Social Networks in Healthcare Health Quality Learning Group Monthly Call – March 16 th 10 – 11 am.
Organization Theory – Part 1 Chapter 4 Discussion/Recap.
MASS: From Social Science to Environmental Modelling Hazel Parry
Influencing behaviour: The Doggy boxes pilot and ISM Ylva Haglund Partnerships Project Manager Consumer Food Waste Prevention.
Social Networking and On-Line Communities: Classification and Research Trends Maria Ioannidou, Eugenia Raptotasiou, Ioannis Anagnostopoulos.
Introduction to Graphic Design
Contagion in Networks Networked Life NETS 112 Fall 2013 Prof. Michael Kearns.
Some annoying cases in radiation protection Ulf Bäverstam.
Social analysis and collateral impact of pervasive technologies CNIT - TN.
Chapter 10.  Relationships across the life course: early childhood, adolescence, middle and older adulthood  Relationships and support across systems:
Structural Properties of Networks: Introduction Networked Life NETS 112 Fall 2015 Prof. Michael Kearns.
Introduction to Computational Modeling of Social Systems Prof. Lars-Erik Cederman Center for Comparative and International Studies (CIS) Seilergraben 49,
Page 1 The New Economy. Page 2 Is there really a “New Economy”? What the New Economy isn’t –it does not mean no inflation or no business cycle, or the.
How Do “Real” Networks Look?
1. Introduction to Research  What are the goals of descriptive, correlational, and experimental research? What are the advantages and disadvantages of.
OLD AGE IN HUMANITARIAN PRACTICE The terms of the problem GENCap workshop, February 2012.
Lecture 5-1 Positive Influence Dominating Set Ding-Zhu Du Univ of Texas at Dallas.
1. What is one method of data collection? 2. What is a truly random way to survey/sample people?
Ecological insurance and risk assessment Authors: Prof. A.N.Kosarikov, Dr.Sc (Econ) Assoc.Prof. A.V.Ivanov Assoc.Prof. Zh.A.Shevchenko, Cand.Sc. (Econ)
Happiness, Conflict, and Social Networks © Arthur Pearlstein Creighton University School of Law.
WELLNESS/PREVENTION 6 th Grade Health Mr. Christiansen.
SOCIAL BEHAVIOR Social psychologists are interested in 2 extremes of human behavior: altruism and aggression.
Illness and Family Stress Prepared by Carrie LeFevre Sillito,Ph.D. © Sage Publications.
Careers in Psychology Approaches Famous Peeps Words to Know Potpourri
Contagion in Networks Networked Life NETS 112 Fall 2015 Prof. Michael Kearns.
Structural Properties of Networks: Introduction
The Science of Psychology
Structural Properties of Networks: Introduction
Course Introduction and Overview
Course Introduction and Overview
Course Introduction and Overview
School Mental Health and Children with Anxiety and Depression by
How Do “Real” Networks Look?
Course Introduction and Overview
Structural Properties of Networks: Introduction
Networked Life NETS 112 Fall 2018 Prof. Michael Kearns
How Do “Real” Networks Look?
How Do “Real” Networks Look?
Models of Network Formation
Models of Network Formation
Networked Life NETS 112 Fall 2017 Prof. Michael Kearns
Models of Network Formation
How Do “Real” Networks Look?
Networked Life NETS 112 Fall 2014 Prof. Michael Kearns
Networked Life NETS 112 Fall 2016 Prof. Michael Kearns
Models of Network Formation
Networks in Health Mark Temple.
Social Network Analysis
Social Connections Build and maintain positive relationships that can provide emotional, instrumental, informational, spiritual, and other helpful support.
Course Introduction and Overview
Networked Life NETS 112 Fall 2019 Prof. Michael Kearns
Presentation transcript:

“Connected” At Last Networked Life CIS 112 Spring 2010 Prof. Michael Kearns

What’s Different? Backgrounds of Christakis and Fowler –practicing medical and social health researchers –more likely to conduct survey studies, examine social interactions in detail Compared to “The Tipping Point” –considerably less anecdotal –almost all claims backed up by scientific studies Compared to “Six Degrees” –almost entirely empirical –field studies of social networks and contagion vs. math models and data analysis Detailed tracking of influence and contagion –in the physical world, not online/virtual –details of individuals in the social network –tracked over many years/decades –much of it based on the Framingham Heart Study data –contagion: from metaphor to mechanism

Christakis and Fowler “Rules” We shape our network –deliberate structuring/restructuring of our social NWs –contrast with “passive” network formation models considered so far –later: “economic” network formation models --- closer to C+F, but… Network shapes us –declining IQ of later-born children and network structure –divorce as a devastating reduction of clustering coefficient (0.52 in USA) Emergent behavior in networks –“Social networks can have properties and functions that are neither controlled nor even perceived by the people within them.” –flocking/schooling, stadium waves, standing ovations,… –much more coming in “Micromotives and Macrobehavior” Three degrees of influence –a claim about dynamics of influence, vs. static structure (6 degs of separation) –applies to word-of-mouth recommendations, weight gain, ideas, happiness…

Emotional Contagion Highly localized: “laughter epidemic” in Tanzania 1962 Evolutionary benefits of emotion contagion –herding behavior, protection from predators; contagion of courage –maternal protection –may predate, and be faster than, oral communication Case studies of Mass Psychogenic Illness (MPI) –perhaps easiest to identify and study –Tennessee 1998: phantom fume epidemic; contagion of anxiety –NYC 1990: Triborough Bridge “sweetness” epidemic –Now: “nut free” schools? What about more diffuse contagion?

Moods, Health and Habits Let’s look at the Christakis-Fowler papers on: –contagion of happinesshappiness –contagion of lonelinessloneliness –contagion of obesityobesity –contagion of smoking (cessation)smoking