FI:IV124 Complex Networks - Course Information
IV124 Complex Networks
Faculty of InformaticsSpring 2025
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
In-person direct teaching - Teacher(s)
- RNDr. Josef Spurný, Ph.D. (lecturer)
Ing. Eva Výtvarová (lecturer)
RNDr. Jan Fousek, Ph.D. (lecturer)
doc. RNDr. Eva Hladká, Ph.D. (lecturer) - Guaranteed by
- doc. RNDr. Eva Hladká, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Image Processing and Analysis (programme FI, N-VIZ)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Discrete algorithms and models (programme FI, N-TEI)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Informatics (programme FI, B-INF) (2)
- Informatics in education (programme FI, B-IVV) (2)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Networks and Communications (programme FI, N-PSKB)
- Principles of programming languages (programme FI, N-TEI)
- Programming and development (programme FI, B-PVA)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Teacher of Informatics and IT administrator (programme FI, N-UCI)
- Informatics for secondary school teachers (programme FI, N-UCI) (2)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Natural language processing (programme FI, N-UIZD)
- Course objectives
- Many complex systems can be viewed as a network of interacting units. This view helps to study and understand important phenomena present in systems such as human brain, internet, economy, social groups and others. The prezence of big data stimulated development of fundamental theories to describe and analyse complex networks in many fields.
- Learning outcomes
- The students will be able to describe the local and global network properties. They will understand the principles of generating natural or man-made complex networks. The students will be able to apply the complex network analysis to empirical data sets across the application domains in both humanities and sciences. Given raw data, they will be also capable of designing a network-oriented analysis, formulate relevant hypothesis and interpret correctly the results.
- Syllabus
- Intro
- Random graphs
- Central nodes
- COmunity structure
- Application of centrality and modularity
- Power law I
- power-law II
- Small-world networks
- Random walks
- Robustness and stability
- Social-economic networks
- Internet as a complex network
- Biologic networks
- Visualisation
- Literature
- recommended literature
- BARABÁSI, Albert-László and Márton PÓSFAI. Network science. First published. Cambridge: Cambridge University Press, 2016, xviii, 456. ISBN 9781107076266. info
- NEWMAN, M. E. J. Networks : an introduction. Oxford: Oxford University Press, 2010, xi, 772. ISBN 9780199206650. info
- CSERMELY, Péter. Weak links : stabilizers of complex systems from proteins to social networks. 1st ed. Berlin: Springer, 2006, xix, 392. ISBN 3540311513. info
- BARABÁSI, Albert-László. V pavučině sítí. Translated by František Slanina. Vyd. 1. V Praze: Paseka, 2005, 274 s. ISBN 8071857513. info
- Teaching methods
- Lectures, tutorial, home works.
- Assessment methods
- Colloqium requirements: - At least 60 % attendance - Submission of Miniproject or Reader's Journal
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (Spring 2025, recent)
- Permalink: https://is.muni.cz/course/fi/spring2025/IV124