Introduction to the Special Issue on Ego Networks

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY Network Science Pub Date : 2020-05-29 DOI:10.1017/nws.2020.18

B. Perry, B. Pescosolido, M. Small, Ann McCranie

引用次数: 3

Abstract

1Department of Sociology and Indiana University Network Science Institute, Indiana University Bloomington, Bloomington IN, 47408, USA (e-mail: blperry@indiana.edu), 2Department of Sociology, Indiana Consortium for Mental Health Services, Indiana University Network Science Institute, Indiana University Bloomington, Bloomington IN, 47408, USA (e-mail: pescosol@indiana.edu), 3Department of Sociology, Harvard University, Cambridge, MA 02138, USA (e-mail: mariosmall@fas.harvard.edu), 4Indiana University Network Science Institute, Indiana University Bloomington, Bloomington IN, 47408, USA ∗Corresponding author. Email: amccrani@indiana.edu

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1印第安纳大学布卢明顿分校社会学系和印第安纳大学网络科学研究所，印第安纳州布卢明顿，47408 (e-mail: blperry@indiana.edu); 2印第安纳大学布卢明顿分校印第安纳大学网络科学研究所，印第安纳州心理健康服务联盟社会学系，印第安纳州布卢明顿，47408 (e-mail: pescosol@indiana.edu); 3哈佛大学社会学系，马萨诸塞州剑桥02138 (e-mail:mariosmall@fas.harvard.edu)， 4印第安纳大学网络科学研究所，印第安纳大学布卢明顿分校，美国布卢明顿，47408 *通讯作者。电子邮件:amccrani@indiana.edu

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来源期刊

Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

3.50

自引率

5.90%

发文量

期刊介绍： Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.

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