ENSb1315 Network analysis: social, ecological, and social-ecological approaches

Fakulta sociálních studií
jaro 2024
Rozsah
0/0/0. 5 kr. Ukončení: zk.
Vyučující
Yanhua Shi, M.A. (přednášející)
Harald Waxenecker, MA (přednášející)
Garance
Christian Kimmich, Ph.D., M.Sc.
Katedra environmentálních studií – Fakulta sociálních studií
Kontaktní osoba: Mgr. Kateřina Hendrychová
Dodavatelské pracoviště: Fakulta sociálních studií
Rozvrh
Pá 10:00–11:40 U41
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Mateřské obory/plány
Cíle předmětu
This course introduces the students to qualitative and quantitative network analysis and its interdisciplinary applications in institutional analysis, political economy and ecology, social-ecological economics, international relations, among others Social Network Analysis (SNA), Ecological Network AnalysiS (ENA) , and Social-Ecological Network Analysis (SENA) will be introduced. The students will understand the basics of network analysis across disciplines and be prepared to transfer parts of the acquired knowledge to cases of their own interest.
Výstupy z učení
After this course participants will have gathered a basic understanding of the concepts of network analysis and its applications across disciplines. The students will understand the fundamental network theories, concepts and ideas; be able to carry out network visualization and basic network descriptive analysis through taught software, and understand basics of simple statistical models; be able to transfer and apply the acquired knowledge to a self-selected case.
Osnova
  • 1. Introduction: overview of network analysis across disciplines, course outline, relevance, and applications.
  • 2. Basic network concepts and ideas: basics of research design, network elements, network structures, network centralities, network models.
  • 3. Social Network Analysis
  • 4. Ecological Network Analysis.
  • 5. Social-Ecological Network Analysis. 6. Networks of Action Situations and Social-Ecological Action Situations.
  • 7. Introduction to network analysis software: Pajek, Gephi, and Rstudio, focusing on visualization, basic network descriptives, and simple statistical models.
  • 8. Group work presentation and discussion on applications selected by the students.
  • 9. final discussion and reflections of the course
Literatura
    doporučená literatura
  • Carmichael T, & Hadžikadić M. (2019). The fundamentals of complex adaptive systems. In: Carmichael T, Collins A, & Hadžikadić M, (editors). Complex adaptive systems: Views from the physical, natural, and social sciences. Switzerland: Springer Nature; p.
  • Voutsa Venetia, Battaglia Demian, Bracken Louise J., Brovelli Andrea, Costescu Julia, Díaz Muñoz Mario, Fath Brian D., Funk Andrea, Guirro Mel, Hein Thomas, Kerschner Christian, Kimmich Christian, Lima Vinicius, Messé Arnaud, Parsons Anthony J., Perez Jo
  • McGinnis, M. D. (2011). Networks of adjacent action situations in polycentric governance. Policy studies journal, 39(1), 51-78.
  • Sayama, H. (2015). Introduction to the modeling and analysis of complex systems. New York: Open SUNY Textbooks
  • Miller RE, Blair PD. (2009). Input–output analysis: foundations and extensions. Cambridge, UK: Cambridge University Press.
  • Scott J (2003). Social Network Analysis: A Handbook. 3rd. Sage Publications, 2003
  • Schlüter, M., Haider, L. J., Lade, S. J., Lindkvist, E., Martin, R., Orach, K., ... & Folke, C. (2019). Capturing emergent phenomena in social-ecological systems. Ecology and Society, 24(3).
  • Chen S, Chen B. (2015). Urban energy consumption: different insights from energy flow analysis, input– output analysis and ecological network analysis. Appl. Energy 138, 99–107. (doi:10.1016/j.apenergy. 2014.10.055)
  • Fiscus, D. A., & Fath, B. D. (2018). Foundations for Sustainability: A Coherent Framework of Life–Environment Relations. Academic Press.
  • Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D. U. (2006). Complex networks: Structure and dynamics. Physics reports, 424(4-5), 175-308.
  • Turnbull, L., Hütt, M.T., Ioannides, A.A., Kininmonth, S., Poeppl, R., Tockner, K., Bracken, L.J., Keesstra, S., Liu, L., Masselink, R., Parsons, A.J. (2018). Connectivity and complex systems: learning from a multi-disciplinary perspective. Applied Netwo
  • Prell Ch (2011). Social Network Analysis: History, Theory and Methodology. Social Network Analysis, 1-272
  • Sayles J S, Mancilla García M S, Hamilton M, Alexander S M, Baggio J A, Fischer A P, Ingold K, Meredith G R & Pittmann J (2019). Social-ecological network analysis for sustainability sciences: a systematic review and innovative research agenda for the fu
  • Bodin, Ö., Robins, G., McAllister, R. R. J., Guerrero, A. M., Crona, B., Tengö, M., & Lubell, M. (2016). Theorizing benefits and constraints in collaborative environmental governance: a transdisciplinary social-ecological network approach for empirical i
  • BARABÁSI, Albert-László a Márton PÓSFAI. Network science. First published. Cambridge: Cambridge University Press, 2016, xviii, 456. ISBN 9781107076266. info
    neurčeno
  • Wasserman S & Faust K (1994). Social Network Analysis: Methods and Applications. Structural Analysis in the Social Sciences. Cambridge University Press.
Výukové metody
Lectures and group exercises with short presentations and discussion.
Metody hodnocení
Essay (50%) and presentation (50%)
Další komentáře
Studijní materiály
Předmět je zařazen také v obdobích jaro 2025.
  • Statistika zápisu (nejnovější)
  • Permalink: https://is.muni.cz/predmet/fss/jaro2024/ENSb1315