Why Context Matters

1. Front Matter

   Pages 1-7

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2. Why Context Matters

   • Thomas N. Friemel

   Pages 9-13

3. A Hidden Variable Approach to Analyze “Hidden” Dynamics of Social Networks

   • Victor V. Kryssanov, Frank J. Rinaldo, Evgeny L. Kuleshov, Hitoshi Ogawa

   Pages 15-35

4. Three-Valued Modal Logic for Reconstructing the Semantic Network Structure of a Corpus of Coded Texts

   • Georg P. Mueller

   Pages 37-54

5. Context Overlap and Multiplexity in Personal Relationships

   • Gerald Mollenhorst

   Pages 55-77

6. Navigating and Annotating Semantically-Enabled Networks of People and Associated Objects

   • Sheila Kinsella, Andreas Harth, Alexander Troussov, Mikhail Sogrin, John Judge, Conor Hayes et al.

   Pages 79-96

7. The Flow of Information in Evolving Social Groups

   • Wolfgang Sodeur, Volker G. Täube

   Pages 97-117

8. Academic Employment Networks and Departmental Prestige

   • Debra Hevenstone

   Pages 119-140

9. A QAP Network Analysis of Intergovernmental Cooperation between Swiss Cantons

   • Daniel Bochsler

   Pages 141-159

10. Structural Changes in Agent-Based Simulations: Representing HIV/AIDS Impact on Social Networks

    • Shah Jamal Alam, Ruth Meyer

    Pages 161-173

11. Back Matter

    Pages 175-179

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In the last few years there has been a growing interest in using computers not only for quantitative but also for qualitative content analyses of various kinds of texts and unstructured interviews (Fielding and Lee 1993, Kelle 1998, Kuckartz 2001, Miles and Huberman 2005, Lewins and Silver 2007). This trend has given rise to the development of new software products such as MAXqda, NVivo, NUD. IST, and ATLAS. ti, which can be used for automatic coding, text retrieval, hyp- linking of related text segments, etc. Some of these programs such as ATLAS. ti or MAXqda even allow to represent the results of qualitative content analyses in graphical form as semantic networks of coded texts (Sowa 1984: 76 ff. , Lewins and Silver 2007: 179 ff. ). Such networks consist of 1. text segments or so-called quotations, which generally constitute a n- overlapping partition of the analyzed text corpus, 2. codes, which are classificatory attributes of the mentioned text segments, 3. links, which are the result of the content analytic coding and describe the attribute relations between the mentioned codes and quotations. Minestrone Soup Non-Eggs Ticinese Leek soup White wine Vegetables Romandie Figure 1: An example of a semantic network of a coded text: soup recipes from Latin Switzer- 1 land Fig.

• Social Network
• complex systems
• gatekeepers
• network
• network structures
• new methods
• opinion leaders
• social science

Thomas N. Friemel is Assistant Professor at the Institute of Mass Communication and Media Research at the University of Zurich (IPMZ). The 3rd and 4th Conferences on Applications of Social Network Analysis (ASNA 2006/2007) were held under his chairmanship.