Associative Diffusion and the Emergence of Cultural Variation
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Investigating the Observability of Complex Contagion in Empirical Social Networks
Investigating the Observability of Complex Contagion in Empirical Social Networks Clay Fink1, Aurora Schmidt1, Vladimir Barash2, John Kelly2, Christopher Cameron3, Michael Macy3 1Johns Hopkins University Applied Physics Laboratory 2Graphika, Inc. 3Cornell University NSF-IBSS, San Diego, CA, August 1-2, 2016 This work was funded by the Minerva Initiative through the United States Air Force Office of Scientific Research (AFOSR) under grant FA9550-15-1-0036. 1 / 15 Complex contagions and social movements Threshold-based, or complex, models of social contagion may partly explain the initiation of mass mobilizations and social movements 2 / 15 Prior work Threshold models of collective behavior and theoretical predictions (Granovetter 1978, 1973); (Centola, Macy 2007); (Barash, Cameron, Macy 2012) Observational Studies: focus on empirical adoption thresholds Coleman, et al. (1966); Valente (1996): empirical studies of social reinforcement for medical practices and diffusion of innovations; Romero, et al. (2011), Fink, et al. (2016): spread of hashtags on Twitter; State and Adamic (2015): adoption of Equal-Sign profile pictures on Facebook 3 / 15 Overestimation of adoption thresholds b c b c a a e d e d At time t none of a's neighbors By time t + dt all neighbors have adopted have adopted. If a now adopts, what was their actual adoption threshold? 4 / 15 This work We formulate comparable probabilistic models of simple and complex contagion to generate predictions of Twitter hashtag diffusion events Using the follow network of 53K Nigerian 2014 users -
Mathematical Modeling of Complex Contagion on Clustered Networks
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Frontiers - Publisher Connector ORIGINAL RESEARCH published: 15 September 2015 doi: 10.3389/fphy.2015.00071 Mathematical modeling of complex contagion on clustered networks David J. P. O’Sullivan *, Gary J. O’Keeffe, Peter G. Fennell and James P. Gleeson Mathematics Applications Consortium for Science and Industry, Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland The spreading of behavior, such as the adoption of a new innovation, is influenced by the structure of social networks that interconnect the population. In the experiments of Centola [15], adoption of new behavior was shown to spread further and faster across clustered-lattice networks than across corresponding random networks. This implies that the “complex contagion” effects of social reinforcement are important in such diffusion, in contrast to “simple” contagion models of disease-spread which predict that epidemics would grow more efficiently on random networks than on clustered networks. To accurately model complex contagion on clustered networks remains a challenge because the usual assumptions (e.g., of mean-field theory) regarding tree-like networks are invalidated by the presence of triangles in the network; the triangles are, however, Edited by: crucial to the social reinforcement mechanism, which posits an increased probability of Javier Borge-Holthoefer, a person adopting behavior that has been adopted by two or more neighbors. In this Qatar Computing Research Institute, Qatar paper we modify the analytical approach that was introduced by Hébert-Dufresne et al. Reviewed by: [19], to study disease-spread on clustered networks. -
It's Contagious: Rethinking a Metaphor Dialogically
Article Culture & Psychology 2015, Vol. 21(3) 359–379 It’s contagious: ! The Author(s) 2015 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav Rethinking a metaphor DOI: 10.1177/1354067X15601190 dialogically cap.sagepub.com Zachary J Warren Georgetown University, Washington, DC, USA Se´amus A Power University of Chicago, Chicago, IL, USA Abstract ‘‘Contagion’’ appears frequently in peer-reviewed articles and in popular media to explain the spread of ideas, feelings, and behaviors. In the context of social science, however, we argue that this metaphor leads to magical thinking and should be described as a simile, rather than a metaphor. We review literature on ‘‘social contagion’’ using the dialogical paradigm and conclude that peer-reviewed claims tend to correspond with imagined realities from epidemiology rather than social science, including assumptions of passive and linear microbial spread, as well as pathology. We explore case studies on the spread of laughter, riot behavior, and ‘‘mass psychogenic illness,’’ and find that social contagion involves social meanings negotiated at the level of persons and groups that are uncharacteristic to the spread of diseases. Dialogism is presented as a correction to the epidemiological paradigm. Keywords Dialogical theory, contagion theory, psychogenic illness, spread, metaphor, riot behavior, laughter, Bakhtin, Afghanistan, dialogism Introduction In February 2012, the Le Roy School District in Le Roy, New York, reported a ‘‘twitching disease’’ that affected over a dozen teen girls and at least one adult. The New York Department of Health launched an investigation in search of envir- onmental causes, and environmental activist Erin Brochovich sent a team Corresponding author: Se´amus A Power, Department of Comparative Human Development, Social Sciences Research Building, Office 103, 1126 East 59th St, University of Chicago, Chicago, IL 60637, USA. -
Creating Contagious: How Social Networks and Item Characteristics Combine to Drive Persistent Social Epidemics
University of Pennsylvania ScholarlyCommons Marketing Papers Wharton Faculty Research 2010 Creating Contagious: How Social Networks and Item Characteristics Combine to Drive Persistent Social Epidemics Andrew T. Stephen Jonah A. Berger University of Pennsylvania Follow this and additional works at: https://repository.upenn.edu/marketing_papers Part of the Communication Technology and New Media Commons, Marketing Commons, Mass Communication Commons, Social Influence and oliticalP Communication Commons, and the Social Media Commons Recommended Citation Stephen, A. T., & Berger, J. A. (2010). Creating Contagious: How Social Networks and Item Characteristics Combine to Drive Persistent Social Epidemics. Retrieved from https://repository.upenn.edu/ marketing_papers/308 This is an unpublished manuscript. This paper is posted at ScholarlyCommons. https://repository.upenn.edu/marketing_papers/308 For more information, please contact [email protected]. Creating Contagious: How Social Networks and Item Characteristics Combine to Drive Persistent Social Epidemics Abstract Why do certain cultural items capture persistent collective interest while others languish? This research integrates psychological and sociological perspectives to provide deeper insight into social epidemics. First, we develop a psychologically plausible individuallevel model of social transmission behavior. We then situate this model in a social network and perform a series of simulations where we vary different item- and networkrelated characteristics in an experimental setting. The results (1) demonstrate how item and network characteristics combine to drive persistent collective enthusiasm and (2) shed light on the underlying mechanisms through which such social epidemics occur. Interest in most items or products naturally decays over time, so item characteristics (e.g., talkability) and the network positions of early consumers are critical for bolstering consumer enthusiasm. -
Virality : Contagion Theory in the Age of Networks / Tony D
VIRALITY This page intentionally left blank VIRALITY TONY D. SAMPSON UNIVERSITY OF MINNESOTA PRESS Minneapolis London Portions of chapters 1 and 3 were previously published as “Error-Contagion: Network Hypnosis and Collective Culpability,” in Error: Glitch, Noise, and Jam in New Media Cultures, ed. Mark Nunes (New York: Continuum, 2011). Portions of chapters 4 and 5 were previously published as “Contagion Theory beyond the Microbe,” in C Theory: Journal of Theory, Technology, and Culture (January 2011), http://www.ctheory.net/articles.aspx?id=675. Copyright 2012 by the Regents of the University of Minnesota All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. Published by the University of Minnesota Press 111 Third Avenue South, Suite 290 Minneapolis, MN 55401-2520 http://www.upress.umn.edu Library of Congress Cataloging-in-Publication Data Sampson, Tony D. Virality : contagion theory in the age of networks / Tony D. Sampson. Includes bibliographical references and index. ISBN 978-0-8166-7004-8 (hc : alk. paper) ISBN 978-0-8166-7005-5 (pb : alk. paper) 1. Imitation. 2. Social interaction. 3. Crowds. 4. Tarde, Gabriel, 1843–1904. I. Title. BF357.S26 2012 302'.41—dc23 2012008201 Printed in the United States of America on acid-free paper The University of Minnesota is an equal-opportunity educator and employer. 20 19 18 17 16 15 14 13 12 10 9 8 7 6 5 4 3 2 1 Dedicated to John Stanley Sampson (1960–1984) This page intentionally left blank Contents Introduction 1 1. -
Complex Contagion and the Weakness of Long Ties
Complex Contagion and the Weakness of Long Ties Damon Centola and Michael Macy Cornell University September 12, 2005 Complex Contagion and the Weakness of Long Ties Abstract The strength of weak ties is that they tend to be long – they connect socially distant locations. Recent research on “small worlds” shows that remarkably few long ties are needed to give large and highly clustered populations the “degrees of separation” of a random network, in which information can rapidly diffuse. We test whether this effect of long ties generalizes from simple to complex contagions – those in which the credibility of information or the willingness to adopt an innovation requires independent confirmation from multiple sources. Using Watts and Strogatz’s original small world model, we demonstrate that long ties not only fail to speed up complex contagions, they can even preclude diffusion entirely. Results suggest that the spread of collective actions, social movements, and risky innovations benefit not from ties that are long but from bridges that are wide enough to transmit strong social reinforcement. Balance theory shows how wide bridges might also form in evolving networks, but this turns out to have surprisingly little effect on the propagation of complex contagions. We find that hybrid contagions, in which a critical mass of low-threshold nodes trigger the remaining high threshold nodes, can propagate on perturbed networks. However, of greater importance is the finding that wide bridges are a characteristic feature of spatial networks, which may account in part for the widely observed tendency for social movements to diffuse spatially. 2 “All politics is local.” – Rep. -
Social Contagion Theory and Information Literacy Dissemination: a Theoretical Model
Social Contagion Theory and Information Literacy Dissemination: A Theoretical Model Daisy Benson and Keith Gresham Academic librarians are constantly working to find dergraduate students prefer to learn not from librarians the most effective ways to reach out to students and or other authority figures on campus, but from one an- teach them how to locate, evaluate, and assimilate in- other, their peers. If academic librarians could employ formation in support of their curricular research needs. a model of transmitting information literacy concepts First- and second-year students, in particular, tend to and skills to lower-division undergraduates using pre- be major targets of these efforts on college and univer- existing peer-networks, perhaps both students and li- sity campuses around the country. As a consequence, brarians alike would benefit. Students would learn the numerous content delivery models have been employed basic information literacy skills they need to succeed in by academic libraries in order to increase the likelihood their early college careers, and librarians would be able that these beginning students develop the basic infor- to devote more time to working with those students who mation literacy competencies required for academic and have more complex, discipline specific research needs. personal success. Some of these delivery models focus How might such a model work? Building upon the on direct librarian-to-student contact, others rely on ideas popularized by Malcolm Gladwell in his bestsell- technology-based delivery -
The Histories and Origins of Memetics
Betwixt the Popular and Academic: The Histories and Origins of Memetics Brent K. Jesiek Thesis submitted to the Faculty of Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Masters of Science in Science and Technology Studies Gary L. Downey (Chair) Megan Boler Barbara Reeves May 20, 2003 Blacksburg, Virginia Keywords: discipline formation, history, meme, memetics, origin stories, popularization Copyright 2003, Brent K. Jesiek Betwixt the Popular and Academic: The Histories and Origins of Memetics Brent K. Jesiek Abstract In this thesis I develop a contemporary history of memetics, or the field dedicated to the study of memes. Those working in the realm of meme theory have been generally concerned with developing either evolutionary or epidemiological approaches to the study of human culture, with memes viewed as discrete units of cultural transmission. At the center of my account is the argument that memetics has been characterized by an atypical pattern of growth, with the meme concept only moving toward greater academic legitimacy after significant development and diffusion in the popular realm. As revealed by my analysis, the history of memetics upends conventional understandings of discipline formation and the popularization of scientific ideas, making it a novel and informative case study in the realm of science and technology studies. Furthermore, this project underscores how the development of fields and disciplines is thoroughly intertwined with a larger social, cultural, and historical milieu. Acknowledgments I would like to take this opportunity to thank my family, friends, and colleagues for their invaluable encouragement and assistance as I worked on this project. -
The Complex Contagion of Doubt in the Anti-Vaccine Movement
COMPLEX CONTAGION OF DOUBT THE COMPLEX CONTAGION OF DOUBT IN THE ANTI-VACCINE MOVEMENT Damon Centola, Ph.D. “FUD” is the fear, uncertainty, and doubt that IBM salespeople instill in the minds of potential customers who might be considering [competitors’] products…. The idea, of course, was to persuade buyers to go with safe IBM gear rather than competitors’ equipment. The Jargon File (cited in Raymond, 1991) INTRODUCTION Measles virus The measles virus is a “simple contagion” that is transmitted through contact between an infected person and a susceptible person. When someone who is newly infected becomes contagious, that person can transmit the disease to someone else who is susceptible, who in turn can transmit it to another, and so on. The result: One highly connected person can trigger an epidemic. Information can act like a simple contagion as well. If I tell you recent news about the availability of a new measles, mumps, and rubella (MMR) vaccine, you can easily repeat it to someone who can then repeat it to someone else. Each new contact and repetition leads to more transmission of the information. The result is the same: One highly connected person can accelerate word-of-mouth transmission of news, allowing it to spread “virally” across a community (Centola & Macy, 2007). But anti-vaccine sentiment is different. It is a “complex contagion.” Simply hearing a piece of anti-vaccine propaganda does not change a person’s beliefs. Rather, people need to be convinced—the hallmark of a complex contagion—through contact with several peers who can reinforce the legitimacy of a point of view. -
Proximity, Interactions, and Communities in Social Networks: Properties and Applications
PROXIMITY, INTERACTIONS, AND COMMUNITIES IN SOCIAL NETWORKS: PROPERTIES AND APPLICATIONS. By Tommy Nguyen A Thesis Submitted to the Graduate Faculty of Rensselaer Polytechnic Institute in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY Major Subject: COMPUTER SCIENCE Examining Committee: Boleslaw K. Szymanski, Thesis Adviser Sibel Adal´ı,Member James A. Hendler, Member Gyorgy Korniss, Member Mohammed J. Zaki, Member Rensselaer Polytechnic Institute Troy, New York October 2014 (For Graduation December 2014) c Copyright 2014 by Tommy Nguyen All Rights Reserved ii CONTENTS LIST OF TABLES . vi LIST OF FIGURES . vii ACKNOWLEDGMENT . ix ABSTRACT . .x 1. INTRODUCTION . .1 1.1 Ranking Information in Social Networks . .2 1.2 Small Worlds and Social Stratification . .4 1.3 Summary of Contributions & Organization . .6 1.3.1 Organization . .7 2. LITERATURE REVIEW . 10 2.1 Ranking Techniques . 10 2.1.1 Web Conceptualization . 10 2.1.2 User Data & Trust Models . 11 2.1.3 Learning to Rank . 13 2.2 Small-world Problem . 15 2.2.1 Six Degrees of Separation . 15 2.2.2 Social Stratification . 16 3. SOCIAL NETWORK ANALYSIS . 18 3.1 Geography, Co-Appearance, & Interactions . 19 3.1.1 Data Collection . 19 3.1.2 Notations & Definitions . 20 3.1.3 Data Analysis & Results . 21 3.1.4 Limitations . 24 3.2 Incorporating Geography into Community Detection . 24 3.2.1 Clique Percolation Method . 25 3.2.2 Modularity Maximization . 26 3.2.3 Speaker-Label Propagation (GANXiS) . 27 3.3 Contrasting Communities to Null Models . 28 3.3.1 Techniques for Generating Covers . 29 iii 3.3.2 Measuring Covers & Communities . -
The Opacity Problem in Social Contagion
The Opacity Problem in Social Contagion George Berrya∗, Christopher J. Camerona, Patrick Parkb, and Michael Macya;c aDepartment of Sociology, Cornell University, 323 Uris Hall, Ithaca NY 14853, USA bSONIC Research Group, Northwestern University, Frances Searle Building, Evanston, IL 60208, USA cDepartment of Information Science, Cornell University Gates Hall, Ithaca NY 14853, USA ∗To whom correspondence should be addressed; E-mail: [email protected]. November 19, 2018 Abstract Many social phenomena can be modeled as cascades in networks, where nodes adopt a behavior in response to peers adopting. When studying cascades, researchers typically assume that the number of active peers when a node adopts is equivalent to the node's threshold for adoption. This assumption is rarely justified due to the \opacity problem": networked cascades reveal intervals which contain thresholds, rather than point estimates. Existing approaches take the maximum of each node's threshold interval, which biases models of social influence. Opacity is inevitable in many small graphs when using the threshold model, resulting from the networked process itself rather than data collection techniques. Using simulation, we extend this finding to the probabilistic SI (independent cascade) model. We confirm these theoretical results by studying 50 large hashtag cascades among 3.2 million Twitter users, finding that 20% of adoptions suffer from opacity. Different assumptions in response to opacity qualitatively change conclusions about peer influence. While opacity is a far- reaching problem, it can be addressed. Using information from nodes who have tightly bounded intervals allows building models to reduce error in estimating node thresholds. Keywords: social contagion, social influence, peer effects, measurement 1 1 Introduction Like epidemic diseases [29, 47, 11], social contagions are ubiquitous, highly conse- quential, and widely studied [22, 41, 42, 13, 33, 44, 45, 15, 46]. -
Homophily and Social Contagion
Running Head: SOCIAL NETWORKS AT WORK 1 Clustering by Well-Being in Workplace Social Networks: Homophily and Social Contagion Joseph Chancellor Kristin Layous Seth Margolis Sonja Lyubomirsky University of California, Riverside in press, Emotion s Author Note Kristin Layous is now at the Department of Psychology, California State University, East Bay. Correspondence should be addressed to Seth Margolis ([email protected]). Running Head: SOCIAL NETWORKS AT WORK 2 Abstract Social interaction among employees is crucial at both an organizational and individual level. Demonstrating the value of recent methodological advances, two studies conducted in two workplaces and two countries sought to answer the following questions: 1) Do coworkers interact more with coworkers who have similar well-being?; and, if yes, 2) what are the processes by which such affiliation occurs? Affiliation was assessed via two methodologies: a commonly used self-report measure (i.e., mutual nominations by coworkers) complemented by a behavioral measure (i.e., sociometric badges that track physical proximity and social interaction). We found that individuals who share similar levels of well-being (e.g., positive affect, life satisfaction, need satisfaction, and job satisfaction) were more likely to socialize with one another. Furthermore, time-lagged analyses suggested that clustering in need satisfaction arises from mutual attraction (homophily), whereas clustering in job satisfaction and organizational prosocial behavior results from emotional contagion. Keywords: subjective well-being, homophily, emotional contagion, sociometric badges Running Head: SOCIAL NETWORKS AT WORK 3 Clustering by Well-Being in Workplace Social Networks: Homophily and Social Contagion Social interaction is not just a human desire; it is a necessity (Baumeister & Leary, 1995).