the next Conference of the Section on Social Network Analysis of the German Sociological Association will take place February 6 and 7, 2020, in Bremen.
We invite abstracts for presentations (deadline is Nov 15) and would be delighted to seeing you there!
Please see details below.
Betina Hollstein and Raphael Heiberger
Spring Conference of the Section on Social Network Analysis of the German Sociological Association (DGS /GSA), February 6 and 7, 2020, University of Bremen, Germany
"The hallmark of network analysis," as stated by Edward O. Laumann, "is to explain, at least in part, the behavior of network elements $B!D(B by appeal to specific features of the interconnections among the elements" (1979, p. 349). Ever since numerous studies have provided evidence for the impact of social networks on individual and collective action. Prominent network studies link the structure of relationships to attitudes and behavior of actors, such as the effect of social networks on academic prestige, economic success, diffusion of ideas, business innovation, finding employment, participation in social movements or family formation. Networks can affect behavior through social capital or social support or by means of social influence. Social influence can take various forms, such as contagion through actual personal contact or diffusion through structural equivalence (Burt 1987, Valente 2010). Channels of social influence can be social learning, social pressure, subjective obligation (Bernardi 2004, Keim et al. 2009) or different ways of brokerage and structurally connecting actors (Gould/Fernandez 1994, Passy 2004, Burt 2007, Obstfeld et al. 2013). Social capital and social support, too, can take different forms and work through different mechanisms, such as direct or buffering effects of social support, feedback processes, the invisible hand of social capital (Lin/Ao 2008) or unanticipated gains of social relationships (Small 2009). Influence can work through strong relationships, as family or friendship ties, but also via weak, hierarchical or competitive ties (Granovetter 1973, Burt 1987, Marsden/Friedkin 1993, Small 2009, Lin/Erickson 2010).
Social Network Analysis comprises a multitude of data and methods to investigate network effects. Today$B!G(Bs increased technical possibilities, rapid methodological advancements and the growing availability of longitudinal and big data allow researchers to study networks on different scales by using various methods stemming from social research, computational and natural sciences. Besides, small-scale qualitative studies provide rich data on the practices and perceptions of individual actors, and contexts of social action.
Nevertheless, there are still a lot of open questions with regard to the processes and mechanisms of how social networks matter and the conditions and contexts of networks effects. For instance, theoretical challenges are the modeling of the source and nature of social influence and network effects, and distinguishing between effects of media, the social environment and specific influencing individuals (Kadushin 2012). Still, a basic question is how interactional networks contribute to constructing reference groups as important aspects of social comparisons and social influence (Marsden/Friedkin 1993). Methodological challenges concern establishing causality and disentangling of influence and selection processes, among others.
At the conference we will discuss theoretical, methodological and empirical challenges and advances in the study of network processes, mechanisms and effects. Especially, we would like to create the opportunity for exchange and dialogue between different, and often disconnected, theoretical perspectives and methodological approaches to research on social networks. We invite papers contributing to the following topics:
$B!|(B Theoretical concepts and models of the ways social networks affect individual and collective action;
$B!|(B Methodological considerations and methodical advances on how to investigate social influence, network mechanisms and network effects, such as the smart combining of methods (multi-methods, mixed methods);
$B!|(B Ways of treating the promises and problems arising from causality and the concurrency of influence and selection processes;
$B!|(B Empirical studies on network effects and mechanisms in various areas of network research, such as personal networks, organizational networks, or social movements.
Keynote: Mario L. Small (Harvard University)
When and Where:
$B!|(B February 6 & 7, 2020
$B!|(B University of Bremen, Germany
$B!|(B Sound abstract (max. 2 page) submission deadline: November 15, 2019
$B!|(B Notification of acceptance: December 1, 2019
Organizers: Raphael H. Heiberger (U Stuttgart), Betina Hollstein (U Bremen /SOCIUM)
Prof. Dr. Betina Hollstein
University of Bremen
SOCIUM - Research Center on Inequality and Social Policy, Head
Mary-Somerville-Str. 9, R. 9.3090
D - 28359 Bremen
tel +49 (0)421-218-58512 / 218-58638 (secr. Ms. Neumann)
e-mail: [log in to unmask]
QUALISERVICE– Research Data Center for Qualitative Social Science Research Data, Head
https://www.qualiservice.org/de/ - relaunch!
What autobiographical narratives tell us about the life course. Contributions of qualitative sequential analytical methods, in: Advances in Life Course Research, online-first (18.12.2018), doi:10.1016/j.alcr.2018.10.001
SOZIOLOGISCHE REVUE - Heft 3, 2019