Guest Editorial Team

Dr. Dominik E. Froehlich, University of Vienna

Dr. Jasperina Brouwer, University of Groningen

Aim of this special issue

This special issue proposed to Frontline Learning Research focuses on papers that use social network analysis (SNA) to understand how individuals involved in activities related to education and learning are affected by or use their social networks. We welcome papers that seek to make empirical, methodological, and/or theoretical contributions to our understanding of social networks in the context of learning and education. In that sense, the call is open to a wide variety of submissions. There are only two major requirements: the paper needs to discuss or apply SNA (as a method or a theory) and be related to the field of learning and education.

If you feel unsure about the suitability your submission, please get in touch with us to verify the suitability of your project — just drop us a line at dominik.froehlich@univie.ac.at!

Note: Papers with a strong methodological orientation in the domain of mixed-methods should better be submitted to a parallel call for chapters in an edited volume about mixed approaches to social network analysis. You can find this call here: https://goo.gl/XBZsxQ

Submit your proposal

Please submit a proposal (max. 1,500 words including references) to dominik.froehlich@univie.ac.at by 01.12.2017. Your proposal will be evaluated using the following criteria:

• Responsiveness to the call
• Applicability to the journal’s scope
• Scientific merit (e.g., research design, sample, analyses)
• Likelihood of successful completion within timeline
• Fit with other submissions

Editorial Team

Dr. Dominik E. Froehlich, University of Vienna
Dr. Martin Rehm, UNU-Merit & PH Weingarten
Prof. Bart Rienties, Open University

Aim of this edited volume

The main objective of this edited volume for Routledge is to establish an informed theoretical and methodological basis for research using Mixed Methods approaches to Social Network Analysis (MMSNA). This objective is achieved through two main innovations. First, the edited volume strives to provide an integrated and cohesive view of the affordances and limitations of integrating mixed-methods research (Creswell, 2014; Hesse-Biber & Johnson, 2015) with social network analysis. We strive to build a bridge that connects these two research communities that draw theoretically, conceptually, and analytically from each other, but that did not always engage in discussions very directly. Second, the edited volume features a wide range of MMSNA topics, ranging from theoretical and methodological discussions to hands-on “tutorials” of how MMSNA may be actually implemented.

Against this backdrop, we invite chapters that address pertinent questions with respect to MMSNA. Chapters can have a theoretical, methodological or empirical focus, or may be a combination of those three. Your final contribution will then be commented on by established mixed methods researchers.

If you feel unsure about your submission, please get in touch with us to verify the suitability of your project — just drop us a line.

Submission

Please submit your brief abstract of 200-500 words by 31.10.2017 to dominik.froehlich@univie.ac.at. Please mention MMSNA in the subject. We will evaluate your proposal based on the responsiveness to the call, scientific merit, the likelihood of successful completion within the timeline, and the fit with other submissions.

Publication of the book is planned for 2019.