Institution: GIGA Doctoral Programme
Lecturer: PD Dr. Lothar Krempel, MPIfG Cologne
Date: November 6-7, 2014
Place: GIGA German Institute of Global and Area Studies, Neuer Jungfernstieg 21
Language of instruction: English
Registration: Participants need to register until 15 October via e-mail with Adam Kephart. Please use the registration sheet to be found on the website of the GIGA Doctoral Programme.
Institution: see Organisers & Acknowledgements
Programme of study: International Research Workshop
Lecturer: Dr. Per Kropp (Institute for Employment Research/IAB)
Date: Thursday, 02/10/14 from 09.30-18.00 h
Max. number of participants: 20
Credit Points: 5 CP for participating in the whole IRWS
Language of instruction: English/German (depending on participants)
Contents:
This course will familiarize students with basic concepts in social network analysis and its application. The focus will be on social networks as structure.. We will use the software package Pajek (the book edition: http://vlado.fmf.uni-lj.si/pub/networks/book/esna2.htm) to analyse centrality and prestige in networks, subgroup, and roles and positions.
Recommended literature and pre-readings:
You have to register for the 8th International Research Workshop to participate in this course.
Instructors: Dr. Thomas Grund
Date: 28. – 29. November 2013
The empirical study of social network dynamics and emergence of social structures is currently receiving considerable attention. For example, novel actor-oriented modeling strategies that can be used to study how network structures evolve, dramatically change the way scholars assess the social world. This workshop gives an introduction to the statistical analysis of social networks. Topics include: introduction to R, network centrality and centralization, visualization, random networks, conditional uniform graphs, quadratic assignment procedure, p2 models, exponential random graph models, stochastic actor-oriented network models (SIENA), modeling of relational events.
Depending on the languages of the participants, the workshop will be held either in English or in German.
Learning objectives
You will gain a solid understanding of social networks and how they can be modeled.
Course entrance requirements
Some basic knowledge of regression analysis.
The Department of Humanities, Social and Political Sciences at ETH Zurich (www.gess.ethz.ch) invites applications for a tenure track assistant professorship in Social Network Analysis. The position is part of the interdisciplinary Behavioral Studies Section and open to applications from all scientific disciplines.
The candidate should have an internationally recognized track record in Social Network Analysis and be able to build and sustain a strong research program. Furthermore, he or she should document an ability to teach effectively and be clearly committed to doing research in an interdisciplinary environment. The new professor will be expected to teach undergraduate level courses (in German or English) and graduate level courses (in English) within the scope of the required electives in the humanities and social sciences. ETH Zurich offers an environment that expects and supports high quality teaching and research.
Assistant professorships have been established to promote the careers of younger scientists. The initial appointment is for four years with the possibility of renewal for an additional two-year period and promotion to a permanent position.
Please apply online.
Applications should include a curriculum vitae, a list of publications and a statement of future research and teaching interests. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Ralph Eichler. The closing date for applications is 30 September 2013. ETH Zurich is an equal opportunity and family friendly employer and is further responsive to the needs of dual career couples. In order to increase the number of women in leading academic positions, we specifically encourage women to apply.
CGG Lecture Series “Dynamiken sozialer Netzwerke”
Do. 13. Juni 2013, 18 Uhr
Hörsaal K, Hauptgebäude,
Edmund-Siemers-Allee 1
Julia Gluesing & Ken Riopelle,
Wayne State University, Detroit/Ill
Governing Innovation: Using Social Network Analysis
In today’s globalized economy, organizations are increasingly spanning geographical, cultural and organizational boundaries to accomplish work, supported by an integrated information technology infrastructure. For the global corporation, working well across boundaries, especially to innovate, is a necessity to stay ahead of the competition and survive. Yet in these global companies it is increasingly difficult to understand or to manage the extended communication networks through which innovation emerges and is brought to the marketplace.
The purpose of this lecture is to share the social network analysis approach and results of a five-year, National Science Foundation funded study that addresses a central business problem – how to accelerate the adoption of new ideas, processes and technologies when organizations depend on the speed of implementation to be competitive. The project team from Wayne State University and the University of Illinois at Chicago worked in partnership with information technology professionals from Ford Motor Company and Visteon. The team harnessed information in real time that already flows through a company’s information technology infrastructure to create seven metrics that are promising, accurate indicators of collaboration and team performance in an innovation network. The research results have wide applicability and benefit for governing distributed collaborative innovation using a social network analysis tools and techniques in organizations of all kinds.
Business anthropology has had a long tradition in network analysis and can have an increasingly important role to play in the future in fostering an understanding of micro organizational processes and contextual variation in both meanings and behaviors in global networked organizations. To understand global organizing, especially in the postindustrial or post-bureaucratic organizations that are enabled by information technology (IT), mixing research methods is a good way to accomplish both depth and breadth of understanding and to keep pace with emerging patterns and meanings. Quantitative and qualitative methods, automated IT-based data collection and indepth ethnography, are complementary and are important considerations in research design for studying networked organizations going forward. The IT-based analytics can tell us much about how networks are structured and how they evolve as well as about the central messages that flow through the communication networks. However, anthropology and the ethnographic tradition in network analysis can play a critical role in the future to help uncover new patterns of work, emergent roles, and different meanings for work and relationships within global networks.
CGG Lecture Series “Dynamiken sozialer Netzwerke”
Mi. 8. Mai 2013, 18 Uhr
Hörsaal J, Hauptgebäude,
Edmund-Siemers-Allee 1
Prof. Sue Heath, Ph.D.
University of Manchester
Educational Decisions and the Role of Social Networks
This paper will focus on a research project which sought to understand the educational decisionmaking of adults through exploring the positioning of these adults within their broader social networks rather than viewing educational decision making as an individualised process. To achieve this, we adopted a qualitative social network approach and conducted in-depth interviews not just with egos but with nominated members of their networks, achieving a sample of 107 individuals across 16 different networks. Through researching the socially embedded and co-constructed nature of educational narratives, our research highlighted the different forms of social capital which were utilised within particular social networks. It also illustrated how decisions about potential participation in formal and informal education were deeply rooted in shared intergenerational understandings of the value of different educational and occupational pathways. This approach not only highlighted the complexity of educational decision-making, but also the tensions, contradictions and moments of solidarity which occurred within networks.
Sue Heath is a Professor of Sociology and a co-director of the Morgan Centre for the Study of Relationships and Personal Life at the University of Manchester.
Die Anmeldephase für die 7. Trierer Summer School on Social Network Analysis hat begonnen.
Die Trierer Summer School on Social Network Analysis (23.-28. September 2013) bietet im Rahmen eines einwöchigen Intensivangebots eine umfassende Einführung in die theoretischen Konzepte, Methoden und Anwendungen der Sozialen Netzwerkanalyse. Die Veranstaltung richtet sich an NachwuchswissenschaftlerInnen und Studierende aller geistes-, kultur- und sozialwissenschaftlichen Fächer, die sich mit der Analyse sozialer Strukturen beschäftigen und Einblick in die Methoden der Sozialen Netzwerkanalyse (SNA) nehmen möchten.
Das Angebot auf einem Blick:
Weitere Informationen finden Sie auf der Summer School Homepage.
Institution: see Organisers & Acknowledgements
Program of study: International Research Workshop
Lecturer: Dr. Per Kropp (Institute for Employment Research)
Date:
03.10.2013, 09:30 – 17:30
Room: n.s.
Max. number of participants: 20
Semester periods per week: n.s.
Credit Points: 5 CP for participating in the whole IRWS
Language of instruction: English/German (depending on participants)
Contents:
This course will familiarize students with basic concepts in social network analysis. The focus will be on two topics: social networks as resources, and social networks as structure. The resource approach focuses on the social embeddedness of individual action and can be investigated using standard statistical tools. Investigating social networks as structure, however, requires special network analysis software (Pajek). Centrality and prestige in networks, subgroup analysis, and roles and positions will be analyzed.
De Nooy, W., A. Mrvar, et al. (2011). Exploratory Social Network Analysis with Pajek, Cambridge University Press.
Freeman, L. (2011): The Development of Social Network Analysis—with an Emphasis on Recent Events. In J. Scott and P. J. Carrington (eds.) The SAGE Handbook of Social Network Analysis. London: SAGE Publications.
Mouw, T. (2003). Social Capital and Finding a Job: Do Contacts Matter? American Sociological Review 68(6): 868- 898.
You have to register for the 7th International Research Workshop to participate in this course.
Description:
The incumbent will conduct research related to challenges arising from analyzing large-scale social networks. This will include optimizing existing and developing new centrality and grouping algorithms for big data. In the context of dynamic network data and streaming data, change detection algorithms will be developed. The incumbent will work in existing research projects with the Research faculty member supervisor in the above mentioned areas; the work will focus on doing research and writing papers on the results. We are looking for someone who can start on or around February 1, 2013.
Qualifications:
Education: PhD in Computer Science, Statistics, Mathematics, or with a strong emphasis on Social Network Analysis. Experience: Experience in handling large data sets and in writing scientific articles. Strong background in Network Analysis and its methods and algorithms.
Skills: Excellent verbal communication and good written skills. Physical Mobility: normal sedentary, but travel across campus, across town, and out of town may be required.
Mental: excellent analytical problem solving and organizational skills;
ability to comprehend system and application related materials; able to understand and follow directions; ability to work under pressure; pay attention to detail; meet flexible deadlines.
Minimum Education Level: Doctorate or equivalent
Advisor: Assistant Research Professor Dr. Jürgen Pfeffer
Organization: Institute for Software Research, School of Computer Science, Carnegie Mellon University
Primary Location: United States-Pennsylvania-Pittsburgh
FT/PT Status: Regular Full Time, Special Faculty
Salary: 50000-55000 US Dollars Annually
Fringe Benefits: http://www.cmu.edu/hr/benefits/benefit_programs/index.html
Questions: jpfeffer@cs.cmu.edu
Submit Application:
https://cmu.taleo.net/careersection/2/jobsearch.ftl
Job Position 9684
Institution: see Organisers & Acknowledgements
Program of study: International Research Workshop
Lecturer: Anja Iseke (University of Paderborn)
Date: 03.10.2012, 09:30 – 17:30
Room: n.s.
Max. number of participants: 25
Semester periods per week: n.s.
Credit Points: 5 CP for participating in the whole IRWS
Language of instruction: English/German (depending on participants)
Contents:
This course will familiarize students with basic concepts in social network analysis. Topics include handling network data, introduction to network analysis software (UCINET and Netdraw), centrality and prestige in networks, subgroup analysis, and roles and positions. This is an applied course that will require students to test and analyze social networks of employees in a high-tech organization.
References:
Wasserman, S., & Faust, K. 1997. Social Network Analysis: Methods and Applications. Cambridge, New York: Cambridge University Press.
Borgatti, S. P., & Foster, P. C. 2003. The Network Paradigm in Organizational Research: A Review and Typology. Journal of Management, 29(6): 991–1013.
You have to register for the 6th International Research Workshop to participate in this course.