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Social Network Analysis

General data

Course ID:	4016-SIECISPOL-OG
Erasmus code / ISCED:	14.0 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0310) Social and behavioural sciences, not further defined The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Social Network Analysis
Name in Polish:	Sieci społeczne i ich analiza
Organizational unit:	Inter-faculty Institute in Social Studies
Course groups:	General university courses General university courses General university courses in the social sciences
ECTS credit allocation (and other scores):	3.00 Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Type of course:	general courses
Prerequisites (description):	(in Polish) Umiejętność czytania tekstów naukowych i popularnonaukowych w jęz. angielskim
Short description:	The course aims at familirizing students with the basics of network theory, with the network analysis methods and with potential application areas of network science.
Full description:	In the course of the seminar students will learn the basics of social network analysis. The first part of the course (4 lectures) will familiarize them with the network paradigm and show the ubiquity of network applications, specifically within social sciences. The second part (5 lectures) will delve into specific network measures: global network characteristics (structure type, information flow) and vertex properties (centrality, betweeness). The last part (5 lectures) will present particular applications of the network paradigm, with emphasis on the usage of network measures in the social sciences.
Bibliography:	(in Polish) Wymagana: A.L. Barabasi, Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life...
Learning outcomes:	(in Polish) Po ukończeniu przedmiotu student: - przedstawia struktury społeczne w postaci sieci - analizuje charakterystyki globalne sieci - analizuje cechy poszczególnych węzłów sieci - kategoryzuje sieci społeczne ze względu na ich strukturę - rozpoznaje możliwe obszary zastosowań metod sieciowych
Assessment methods and assessment criteria:	(in Polish) Końcowe zaliczenie pisemne Inne - prace domowe

Classes in period "Summer semester 2023/24" (in progress)

Time span:	2024-02-19 - 2024-06-16	Selected timetable range: weekly course term Navigate to timetable MO SEM TU W TH FR
Type of class:	Seminar, 30 hours, 10 places more information
Coordinators:	Agnieszka Rychwalska
Group instructors:	Agnieszka Rychwalska
Students list:	(inaccessible to you)
Examination:	Course - Grading Seminar - Grading
Bibliography:	(in Polish) Wymagana: A.L. Barabasi, Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life...
Notes:	(in Polish) Przedmiot fakultatywny, rok 1-5, studia stacjonarne Założenia wstępne: Umiejętność czytania tekstów naukowych i popularnonaukowych w jęz. angielskim

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