DOCSLIB.ORG

1 ONLINE COMMUNITIES AS CULTURAL FIELDS by Meltem

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
1 ONLINE COMMUNITIES AS CULTURAL FIELDS by Meltem Online Communities as Cultural Fields Item Type text; Electronic Dissertation Authors Odabas, Meltem Publisher The University of Arizona. Rights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author. Download date 26/09/2021 00:06:04 Link to Item http://hdl.handle.net/10150/634424 ONLINE COMMUNITIES AS CULTURAL FIELDS by Meltem Odabaş __________________________ Copyright © Meltem Odabaş 2019 A Dissertation Submitted to the Faculty of the SCHOOL OF SOCIOLOGY In Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY In the Graduate College THE UNIVERSITY OF ARIZONA 2019 1 THE UNIVERSITY OF ARIZONA GRADUATE COLLEGE As members of the Dissertation Committee, we certify that we have read the dissertation prepared by Meltem Odabas, titled Online Communities as Cultural Fields and recommend that it be accepted as fulfilling the dissertation requirement for the Degree of Doctor of Philosophy. _______________________________________________ Date: 05/22/2019 Ronald L. Breiger Date: 05/22/2019 Erin Leahey _______________________________________ Date: 05/22/2019 Charles Seguin Final approval and acceptance of this dissertation is contingent upon the candidate’s submission of the final copies of the dissertation to the Graduate College. I hereby certify that I have read this dissertation prepared under my direction and recommend that it be accepted as fulfilling the dissertation requirement. ________________________________________________ Date: 05/22/2019 Ronald L. Breiger Dissertation Committee Chair School of Sociology 2 ACKNOWLEDGEMENTS This dissertation would not have been possible without the support of many people, including the insight of mentors and colleagues as well as the encouragement of friends and family. I would like to acknowledge those who supported me along the way. The work presented here provides a sociological point of view to behavior, yet my understanding of and interest in behavioral analysis originates from my background in Economics, which I enjoyed learning at the beautiful campus of Boğaziçi University from highly inspirational professors. I would like to thank all the faculty members and colleagues there who influenced and encouraged me to follow my academic curiosities. The papers presented in this dissertation, as well as my former works that influenced the research presented here, have greatly benefited from the insights of colleagues and friends at the University of Arizona. The School of Sociology at the University of Arizona provided innumerable opportunities for receiving feedback through University of Arizona Research Workshop and School of Sociology Colloquiums, and I would like to extend my gratitude to every single friend and colleague who guided me and improved my research with their fruitful questions and comments. I feel truly fortunate to have had the opportunity to work with each member of my doctoral committee: Professor Ronald Breiger, Professor Erin Leahey, and Assistant Professor Charles Seguin. All three provided immeasurable support and feedback, and I would not be at the stage where I am writing these acknowledgements without them. I would like to especially thank Ronald Breiger with whom I had the great opportunity to work since the very beginning of my academic experience at the University of Arizona. His dedication to creating a highly supportive academic and intellectual environment that encourages his students, including myself, to become independent researchers who develop their own perspectives, theories, and methodological analyses has been beyond inspirational. 3 I am truly grateful to have a family who support my academic aspirations. My parents have always emphasized the role of education as they both worked as high school teachers. I grew up wanting to be teachers just like them, and their commitment to teaching has always motivated my academic pursuits not only as a researcher but also as an instructor. Moving overseas to follow my academic interests required leaving my beloved family in my home country, but I also have built my chosen family of friends in Tucson, each member for which I am beyond grateful. Last but not least, I would like to thank my husband, John. His level of encouragement and support for me to pursue my academic career has been beyond limits. I can never thank him enough. 4 TABLE OF CONTENTS Abstract ..................................................................................................................................................... 7 Introduction ............................................................................................................................................ 10 Rational Action and Strategic Behavior ............................................................................................... 12 Structure vs. Agency ............................................................................................................................ 15 Online Communities as Cultural Fields ............................................................................................... 18 References ............................................................................................................................................... 23 APPENDIX A ......................................................................................................................................... 26 Stand out and Fit In: How Diversity in Taste Impacts Evaluation in Online Discussions .............. 26 Summary .............................................................................................................................................. 26 Introduction .......................................................................................................................................... 26 Cultural Tastes, Relational Sociology of Culture, and Social Network Analysis ................................ 28 Cultural Omnivorousness ..................................................................................................................... 30 Category Spanning, Boundary Crossing, and Novelty ........................................................................ 32 Cultural Embeddedness and Weak Culture .......................................................................................... 34 Cultural Embeddedness .................................................................................................................... 34 Weak Culture .................................................................................................................................... 35 Data and Methods ................................................................................................................................ 35 Data Characteristics .......................................................................................................................... 43 Cleaning Procedures ......................................................................................................................... 44 Cleaning Bots .............................................................................................................................. 44 Removing Moderators ................................................................................................................. 44 Dependent Variable .......................................................................................................................... 45 Evaluation Scores(ist). ................................................................................................................. 45 Independent Variables: Category Spanning and Omnivorousness .................................................. 45 Multiple(it) and Atypicality(it). ................................................................................................... 46 Community Contrast(st). ............................................................................................................. 46 Independent Variable: Weak Culture ............................................................................................... 48 Participation Rate(ist). ................................................................................................................. 48 Independent Variable: Cultural Embeddedness ............................................................................... 48 Log Participation Count(ist). ....................................................................................................... 48 Control Variable ............................................................................................................................... 48 Size(st). ........................................................................................................................................ 48 Results .................................................................................................................................................. 49 Discussion ............................................................................................................................................ 54 5 References ............................................................................................................................................ 57 APPENDIX B ........................................................................................................................................
Load more

Recommended publications
  • Dynamic Social Network Analysis: Present Roots and Future Fruits
    Dynamic Social Network Analysis: Present Roots and Future Fruits Ms. Nancy K Hayden Project Leader Defense Threat Reduction Agency Advanced Systems and Concepts Office Stephen P. Borgatti, Ronald L. Breiger, Peter Brooks, George B. Davis, David S. Dornisch, Jeffrey Johnson, Mark Mizruchi, Elizabeth Warner July 2009 DEFENSE THREAT REDUCTION AGENCY •ADVANCED SYSTEMS AND CONCEPTS OFFICE REPORT NUMBER ASCO 2009 009 The mission of the Defense Threat Reduction Agency (DTRA) is to safeguard America and its allies from weapons of mass destruction (chemical, biological, radiological, nuclear, and high explosives) by providing capabilities to reduce, eliminate, and counter the threat, and mitigate its effects. The Advanced Systems and Concepts Office (ASCO) supports this mission by providing long-term rolling horizon perspectives to help DTRA leadership identify, plan, and persuasively communicate what is needed in the near term to achieve the longer-term goals inherent in the agency’s mission. ASCO also emphasizes the identification, integration, and further development of leading strategic thinking and analysis on the most intractable problems related to combating weapons of mass destruction. For further information on this project, or on ASCO’s broader research program, please contact: Defense Threat Reduction Agency Advanced Systems and Concepts Office 8725 John J. Kingman Road Ft. Belvoir, VA 22060-6201 [email protected] Or, visit our website: http://www.dtra.mil/asco/ascoweb/index.htm Dynamic Social Network Analysis: Present Roots and Future Fruits Ms. Nancy K. Hayden Project Leader Defense Threat Reduction Agency Advanced Systems and Concepts Office and Stephen P. Borgatti, Ronald L. Breiger, Peter Brooks, George B. Davis, David S.
    [Show full text]
  • Tentative Syllabus
    University of Wisconsin, Department of Sociology Sociology 375: Introduction to Mathematical Sociology Fall 2014 Prof. James Montgomery [email protected] 2436 Social Science Office hours: Friday 9:30-11:30 AM or by appointment Overview. Mathematical sociologists use mathematics to represent and analyze sociological concepts and theories. In this course, we explore mathematical models of social structure, focusing especially on social network analysis and related methods. A second course in mathematical sociology, Soc 376, which is taught in the spring, focuses on mathematical models of social process, addressing the use of Markov chains and dynamical systems in sociology. Prerequisites. There is no particular mathematics prerequisite. However, past experience suggests that students with weak backgrounds in math often find the course quite difficult. We will make extensive use of matrix algebra (as well as the matrix-algebra software package Matlab), though the course is intended to be self-contained for motivated students who have not already studied this topic. We will also learn and employ some elementary concepts from set theory and graph theory. Students who have taken Math 240 (Discrete Mathematics) and Math 340 (Matrix Algebra) or equivalents will already know the relevant mathematics. Students who have previously used mathematical software and/or have some background in computer programming may have an advantage. There is no sociology prerequisite, so the course is well- suited for students with other (quantitative) majors. Evaluation. Grades will be based on two exams (a midterm and a final), as well as problem sets. The midterm exam will be held in class on Thursday, October 23.
    [Show full text]
  • Formalist and Relationalist Theory in Social Network Analysis
    Formalist and Relationalist Theory in Social Network Analysis Emily Erikson Yale University 17 March 2011 Draft Acknowledgements: I would like to thank Peter Bearman, Scott Boorman, Richard Lachmann, David Stark, Nicholas Wilson, the participants of Boston University’s Society, Politics & Culture Workshop, and Yale University’s Comparative Research Workshop for their helpful comments. s Abstract: There is a widespread understanding that social networks are relationalist. In this paper, I suggest an alternative view that relationalism is only one theoretical perspective in network analysis. Relationalism, as currently defined, rejects essentialism, a priori categories, and insists upon the intersubjectivity of experience and meaning, as well as the importance of the content of interactions and their historical setting. Formalism is based on a structuralist interpretation of the theoretical works of Georg Simmel. Simmel based his theory on a Neo-Kantian program of identifying a priori categories of relational types and patterns that operate independently of cultural content or historical setting. Formalism and relationalism are therefore entirely distinct from each other. Yet both are internally consistent theoretical perspectives. The contrast between the two plays out in their approaches to culture, meaning, agency, and generalizability. In this paper, I distinguish the two theoretical strains. 2 Since its inception in the 1930s, social network research has become an increasingly vibrant part of sociology inquiry. The field has grown tremendously over the last few decades: new journals and conferences have been created, programs and concentrations in social network analysis have been created in institutions in both North America and Europe, and large numbers of scholars have been attracted to the field from across a wide disciplinary array, including sociology, anthropology, management sciences, computer science, biology, mathematics, and physics.
    [Show full text]
  • ERIC W. SCHOON CV, 01/2020 Department of Sociology the Ohio State University E-Mail: [email protected] Website: Ewschoon.Com
    ERIC W. SCHOON CV, 01/2020 Department of Sociology The Ohio State University E-mail: [email protected] Website: ewschoon.com ACADEMIC POSITIONS AND AFFILIATIONS 2015 – Present Assistant Professor of Sociology, The Ohio State University Faculty Affiliate, Mershon Center for International Security Studies Faculty Affiliate, Criminal Justice Research Center 2017 Visiting Professor, Department of Politics and Public Administration, University of Konstanz, Germany (Summer) 2016 / 2017 Visiting Scholar, Kulturwissenschaftliches Kolleg/Institute for Advanced Studies, University of Konstanz, Germany (Summers) 2012 Research Associate, Sabancı University, Turkey (Summer and Autumn) EDUCATION Ph.D. 2015 University of Arizona, Sociology. MA 2010 University of Arizona, Sociology BMA 2008 Penn State University, Music Performance (Summa Cum Laude) ​ ​ BPh 2008 Penn State University, Ethics (Summa Cum Laude) ​ ​ Minor: Sociology AREAS OF SPECIALIZATION Political Sociology; Research Methods; Sociological Theory; Social Movements; Culture. BOOK Under contract Schoon, Eric W., David Melamed, and Ronald L. Breiger. Regression ​ Inside Out. Cambridge University Press. ​ PUBLICATIONS (* = authorship equal and alphabetically listed) ​ Articles and Book chapters Forthcoming *Schoon, Eric W. and Robert VandenBerg. “Illegitimacy, Political Stability, and the Erosion of Alliances: Lessons from the End of Apartheid in South Africa.” Research in Social Movements, Conflict & Change 2020 Schoon, Eric W., Alexandra Joosse and H. Brinton Milward. “Networks, Power, and the Effects of Legitimacy in Contentious Politics.” Sociological Perspectives. ​ DOI: 10.1177/0731121419896808 2019 Schoon, Eric W. and Scott Duxbury. “Robust Discourse and the Politics of Legitimacy: Framing International Intervention in the Syrian Civil War, 2011-2016.” Sociological Science, 6: 635-660. ​ ​ 2019 Schoon, Eric W., Ronald L. Breiger, David Melamed, Eunsung Yoon and Christopher Kleps.
    [Show full text]
  • The School of Sociology Newsletter
    01/31/2020 The School Of Sociology Newsletter Welcome! As many of you know, Arizona Sociology has a history of excellence in research and teaching, and has long been a wellspring of innovation in theory and methods. In this newsletter, we highlight some of the work being done by our faculty and graduate students, many of whom teach in our undergraduate programs. In addition to the traditional BA in Sociology, we offer a BS in Care, Health, and Society, and a new minor in Criminology. Many of our majors have won college and university-wide awards, and are eager to connect with local alum for internship and shadowing opportunities as they strive to connect their skill set to future work opportunities. If you are interested in sharing the kind of work you do – perhaps through a meet and greet on campus or a shadow day at your workplace, please fill out the form on page 10. We host many events open to the public, including a weekly seminar series that brings in sociologists from around the country and an annual series of workshops where researchers can learn new methods. Many of you have helped fund such events or have made contributions to much needed student scholarships. Every donation (even $10) is put to good use, and we thank you in advance for your support. To make a donation, see page 11. We look forward to staying in touch with you all! Best, Erin Leahey Professor and Director School of Sociology University of Arizona Kudos! New Community Outreach: SMART TALK on KVOI 1030 A new outreach effort of the School of Sociology along with the College of Social and Behavioral Sciences and the College of Education is called Smart Talk.
    [Show full text]
  • Workshop with Prof. Ronald Breiger (University of Arizona) "Social Networks and Culture"
    Call for Participants Workshop with Prof. Ronald Breiger (University of Arizona) "Social Networks and Culture" We invite PhD-students and Post-Docs from all disciplines to participate in a workshop with Prof. Ronald Breiger, University of Arizona. In this workshop, participants have the opportunity to present their research projects and discuss them with Prof. Breiger. Prof. Breiger is among the leading social network scholars worldwide and winner of the Simmel Award in 2005. This award is given annually by the International Network for Social Network Analysis (INSNA). He has authored more than 100 publications in the areas of social networks, stratification, math models, theory, and measurement issues in cultural and institutional analysis. On his website, he states that he "is fascinated by the prospects for encouraging closer intellectual relations between the sociology of culture, cultural studies, social network analysis, and formal models of classification and social meaning" (https://sociology.arizona.edu/user/ronald-breiger). Most recent articles are "Insurgencies as Networks of Event Orderings" published in Sociological Theory and "Capturing Distinctions while Mining Text Data: Toward Low-Tech Formalization for Text Analysis", which appeared in Poetics (both in 2018). Important Dates: November 15: Submission of Motivation Letters November 22: Notification of Acceptance December 17, 6 p.m.: Public Lecture (Title t.b.a.) December 17, 8 p.m.: Joint Dinner December 18, 9 a.m.: Workshop Day (lunch in between) Workshop Venue: University of Bamberg, Feldkirchenstraße 21 Public lecture in Room F21/02.55, Workshop in Room F21/03.83 Conditions of Participation: If you are interested, please send a short motivation letter including a brief description of your research project (in English or German) to [email protected].
    [Show full text]
  • Download Zhang's Vita Here
    1 Dept of Sociology and IACS, (631) 632-7700 Stony Brook, NY 11794. @DrJoshZhang Last Updated: April 2021 [email protected] https://yongjunzhang.com Yongjun Zhang Employment 2020.9-. Assistant Professor, Department of Sociology and Institute for Advanced Computational Science, Stony Brook University Education 2020. PhD, University of Arizona, Sociology. Graduate Certificate in Computational Social Science 2014. MA, Peking University, Sociology. 2011. BA, Peking University, Sociology. Research Interests Computational Social Science, Political Sociology, Organizational Studies Causal Inference Methods, Social Network Analysis, Big Data, Machine Learning Publications Peer-Reviewed Articles 2021. Yongjun Zhang. “Corporate Responses to COVID19: A Nonmarket Strategy Approach.” Sociological Perspectives. Accepted. 2021. Charles Seguin, Chris Julien, and Yongjun Zhang. “The Stability of Androgynous Names: Dynamics of Gendered Naming Practices in the United States 1880-2016.” Poetics. Accepted. 2020. Thomas Maher, Charles Seguin, Yongjun Zhang, and Andrew Davis. “Sharing Expertise: Social Scientists before Congress, 1946-2015.” PLOS One. https://doi.org/10.1371/journal.pone.0230104 2019. Andrew Davis and Yongjun Zhang. “Civil Society and Exposure to Domestic Terrorist Attacks: Evidence from a Cross-National Quantitative Analysis, 1970-2010.” International Journal of Comparative Sociology (equal authorship). https://doi.org/10.1177/0020715219837752 2019. Jeremy Fiel and Yongjun Zhang. “With All Deliberate Speed: The Reversal of Court Ordered School Desegregation in the United States, 1970-2013.” American Journal of Sociology 124 (6): 1685-1719 (equal authorship). https://doi.org/10.1086/703044 2018. Alexander Kinney, Andrew Davis, and Yongjun Zhang. “Theming for Terror: Organizational Adornment in Terrorist Propaganda.” Poetics 69, 27-40. https://doi.org/10.1016/j.poetic.2018.05.001 2018 Raymond V.
    [Show full text]
  • Draft: 3/31 CROSS-TALK in MOVEMENTS: RECONCEIVING the CULTURE- NETWORK LINK Ann Mische Rutgers University
    Draft: 3/31 CROSS-TALK IN MOVEMENTS: RECONCEIVING THE CULTURE- NETWORK LINK Ann Mische Rutgers University [email protected] Forthcoming in Social Movements and Networks: Relational Approaches to Collective Action, edited by Mario Diani and Doug McAdam, Oxford/New York: Oxford University Press, 2003. Acknowledgements: I would like to thank Nina Bandelj, Mario Diani, David Gibson, Mustafa Emirbayer, John Levi Martin, Doug McAdam, Paul McLean, Francesca Polletta, Ziggy Rivken- Fish, Mimi Sheller, Sidney Tarrow, Charles Tilly, Harrison White, Elisabeth Wood, King-to Yeung, Viviana Zelizer and the participants at the Loch Lomond conference on Social Movements and Networks and the Workshop on Contentious Politics at Columbia University for their helpful comments and suggestions on this paper. ABSTRACT This paper expands the discussion of culture and networks in the social movements literature by focusing on processes of political communication across intersecting movement networks. I draw upon recent work in political culture that shifts attention from the structural manifestations of culture (e.g., identities, frames) to the dynamics of communicative practices. This work examines “forms of talk” as well as the social relations constructed by that talk. While such an approach is inherently relational, few of these researchers have yet incorporated formal network analysis into their work. I take up this challenge by applying recent attempts to link network and discursive approaches to my research on overlapping youth activist networks in Brazil. I describe a core set of conversational mechanisms that are highly contingent on (and constitutive of) crosscutting network relations: identity qualifying, temporal cuing, generality shifting and multiple targeting. I discuss the ways in which these mechanisms are constrained by different kinds of relational contexts, as well as the ways in which they contribute to different kinds of network building in movements, including political outreach, coordination, and alliance- building.
    [Show full text]
  • Introduction: the Past and Future of Ego-Centric Network Analysis” Mario L
    “Introduction: The Past and Future of Ego-Centric Network Analysis” Mario L. Small, Bernice Pescosolido, Brea L. Perry, Edward (Ned) Smith Draft October 2020 Forthcoming, in Personal Networks Classic Readings and New Directions in Ego-centric Analysis, edited by Mario L. Small, Brea L. Perry, Bernice Pescosolido, and Edward (Ned) Smith Network analysis is ubiquitous. In recent years, it has shaped how researchers and society as a whole understand issues as diverse as the spread of disease, the precursors of loneliness, the rise of protest movements, the causes of social inequality, the flows of air traffic, the rise of social media, and much more (Wasserman and Faust 1994; Barabasi 2002; Christakis and Fowler 2009; Watts and Strogatz 1998; Watts 1999).1 This influence is due to the remarkable flexibility and power of network analysis. A network is simply a set of nodes and the ties between them, and a node can be anything—an individual, an organization, a website, a computer server, an airport, a nation, or any entity with the capacity to connect in any fashion to another entity. The ability to think of any relationship in network terms has proved remarkably generative for researchers. Social scientists have traditionally conducted network studies in one of two ways (see Wasserman and Faust 1994; Kadushin 2012; Borgatti, Everett, and Johnson 2013; Crossley et al. 2015; Perry, Pescosolido, and Borgatti 2018; McCarty et al. 2019). Those adopting a sociocentric perspective examine a set of actors and all realized or potential ties between them; those adopting an egocentric one, a set of actors and their relations of any type that is of interest to the researcher.
    [Show full text]
  • SOCIAL NETWORK ANALYSIS Sociology 920:571:01 (491:02) Paul Mclean
    SOCIAL NETWORK ANALYSIS Sociology 920:571:01 (491:02) Paul McLean Department of Sociology Rutgers University Fall 2011 Location and time: Davison Seminar room, Tuesdays, 9:50-12:30 Office hours: M 12:30-1:30 [LSC]; T 1:00-2:00 [Davison 049], and by appointment E-mail: [email protected] Over the last few decades, and over the last ten years or so especially, there has been an enormous increase in the attention paid to social networks as key determinants of many elements of social life, including motivations, identities, social mobility, group organization and mobilization, resource distributions, decision-making, patterns of innovation, diffusion of disease and attitudes, and the organization of belief systems. One could also say without much exaggeration that a whole new science of networks has emerged, not only within sociology but across multiple disciplines. The basic idea of social network analysis is that we must study the social order relationally: actors/events are interdependent, and structure emerges as patterns in these interdependencies. Sometimes this core idea involves the study of social interaction patterns inductively from the ground up; sometimes it involves looking for particular structural forms that are believed to shape behavior and structure the social environment. Sometimes it involves a radical re-thinking of what an actor is and where a relation can be found. Network analysis is increasingly a mainstream idea, even though the tools it uses are distinctly different from mainstream sociology. Indeed there are ways to incorporate network ideas into ‘mainstream’ research. But in its most radical formulations, the study of networks vies to become a kind of fundamental theory of social organization.
    [Show full text]
  • The Analysis of Social Networks
    The Analysis of Social Networks Ronald L. Breiger Department of Sociology University of Arizona Tucson, AZ 85721-0027 [email protected] This document contains excerpts from a close-to-final draft of a chapter now published as R.L. Breiger. 2004. “The Analysis of Social Networks,” pp. 505-526 in Handbook of Data Analysis, edited by Melissa Hardy and Alan Bryman. London: SAGE Publications, 2004. Ronald Breiger The Analysis of Social Networks Handbook of Data Analysis, edited by Melissa hardy and Alan Bryman. Sage Publications, 2004, pp. 505-526. Outline of chapter (click on a section to read it) From Metaphor to Data Analysis Qualitative or Quantitative? Network Basics Types of Equivalence Statistical Models for Network Structure Culture and Cognition Appendix: Computer Programs, Further Study Acknowledgement Note References The Analysis of Social Networks Ronald L. Breiger Study of social relationships among actors—whether individual human beings or animals of other species, small groups or economic organizations, occupations or social classes, nations or world military alliances—is fundamental to the social sciences. Social network analysis may be defined as the disciplined inquiry into the patterning of relations among social actors, as well as the patterning of relationships among actors at different levels of analysis (such as persons and groups). Following an introduction to data analysis issues in social networks research and to the basic forms of network representation, three broad topics are treated under this chapter’s main headings: types of equivalence, statistical models (emphasizing a new class of logistic regression models for networks), and culture and cognition. Each section emphasizes data- analytic strategies used in exemplary research studies of social networks.
    [Show full text]
  • Network Sampling: Some First Steps Author(S): Mark Granovetter Source: the American Journal of Sociology, Vol. 81, No. 6 (May, 1976), Pp
    Network Sampling: Some First Steps Author(s): Mark Granovetter Source: The American Journal of Sociology, Vol. 81, No. 6 (May, 1976), pp. 1287-1303 Published by: The University of Chicago Press Stable URL: http://www.jstor.org/stable/2777005 . Accessed: 16/01/2011 09:58 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at . http://www.jstor.org/action/showPublisher?publisherCode=ucpress. Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission. JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. The University of Chicago Press is collaborating with JSTOR to digitize, preserve and extend access to The American Journal of Sociology. http://www.jstor.org Network Sampling: Some First Steps' Mark Granovetter Harvard University Social networkresearch has been confinedto small groupsbecause large networksare intractable,and no systematictheory of network samplingexists.
    [Show full text]