*****  To join INSNA, visit  *****


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

How networks matter.

Theoretical, methodological and empirical advances on network mechanisms and

"The hallmark of network analysis," as stated by Edward O. Laumann, "is to
explain, at least in part, the behavior of network elements … 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’s 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

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:

●      Theoretical concepts and models of the ways social networks affect
individual and collective action;

●      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);

●      Ways of treating the promises and problems arising from causality
and the concurrency of influence and selection processes;

●      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:

●      February 6 & 7, 2020

●      University of Bremen, Germany

Important dates:

●      Sound abstract (max. 2 page) submission deadline: November 15, 2019

●      Notification of acceptance: December 1, 2019

Please submit your abstract to  <mailto:[log in to unmask]>
[log in to unmask] and  <mailto:[log in to unmask]
de> [log in to unmask]

Organizers: Raphael H. Heiberger (U Stuttgart), Betina Hollstein (U Bremen

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:  <mailto:[log in to unmask]>
[log in to unmask]


QUALISERVICE- Research Data Center for Qualitative Social Science Research
Data, Head
 < >  -

Newly published:

in/publikationen/?publ=8749> 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),
< >


.42.issue-2.xml> .

SOCNET is a service of INSNA, the professional association for social
network researchers ( To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.