Complex networks and big data, 6 credits

Komplexa nätverk och stora datamängder, 6 hp

TSKS33

Main field of study

Information Technology Computer Science and Engineering Computer Science Electrical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Erik G. Larsson

Director of studies or equivalent

Lasse Alfredsson

Education components

Preliminary scheduled hours: 54 h
Recommended self-study hours: 106 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese (Communication) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese (Control and Information Systems) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese (Data Science and Machine Intelligence) 7 (Autumn 2022) 2 3 Swedish/English Linköping C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French (Communication) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French (Control and Information Systems) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French (Data Science and Machine Intelligence) 7 (Autumn 2022) 2 3 Swedish/English Linköping C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German (Communication) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German (Control and Information Systems) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German (Data Science and Machine Intelligence) 7 (Autumn 2022) 2 3 Swedish/English Linköping C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese (Communication) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese (Control and Information Systems) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese (Data Science and Machine Intelligence) 7 (Autumn 2022) 2 3 Swedish/English Linköping C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish (Communication) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish (Control and Information Systems) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish (Data Science and Machine Intelligence) 7 (Autumn 2022) 2 3 Swedish/English Linköping C
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering (Communication) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering (Control and Information Systems) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering (Data Science and Machine Intelligence) 7 (Autumn 2022) 2 3 Swedish/English Linköping C
6MCSY Communication Systems, Master's Programme 1 (Autumn 2022) 2 3 Swedish/English Linköping E
6MCSY Communication Systems, Master's Programme 3 (Autumn 2022) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, Master of Science in Engineering 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, Master of Science in Engineering (AI and Machine Learning) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, Master of Science in Engineering (Communication) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, Master of Science in Engineering (Computer Systems Architecture) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, Master of Science in Engineering (Programming and Algorithms) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CMJU Computer Science and Software Engineering, Master of Science in Engineering 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CMJU Computer Science and Software Engineering, Master of Science in Engineering (AI and Machine Learning) 7 (Autumn 2022) 2 3 Swedish/English Linköping
6CMJU Computer Science and Software Engineering, Master of Science in Engineering (Programming and Algorithms Specialization) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, Chinese (Specialization Computer Science and Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, Chinese (Specialization Electrical Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, French (Specialization Computer Science and Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, French (Specialization Electrical Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, German (Specialization Computer Science and Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, German (Specialization Electrical Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, Japanese (Specialization Computer Science and Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, Japanese (Specialization Electrical Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, Spanish (Specialization Computer Science and Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, Master of Science in Engineering, Spanish (Specialization Electrical Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIII Industrial Engineering and Management, Master of Science in Engineering (Specialization Computer Science and Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CIII Industrial Engineering and Management, Master of Science in Engineering (Specialization Electrical Engineering) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CITE Information Technology, Master of Science in Engineering 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CITE Information Technology, Master of Science in Engineering (AI and Machine Learning) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CITE Information Technology, Master of Science in Engineering (Computer Systems Architecture) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6CITE Information Technology, Master of Science in Engineering (Programming and Algorithms Specialization) 7 (Autumn 2022) 2 3 Swedish/English Linköping E
6KMAT Mathematics, Bachelor's Programme 5 (Autumn 2022) 2 3 Swedish/English Linköping E
6KMAT Mathematics, Bachelor's Programme (Applied Mathematics) 5 (Autumn 2022) 2 3 Swedish/English Linköping E
6KMAT Mathematics, Bachelor's Programme (Mathematical Statistics for Machine Learning) 5 (Autumn 2022) 2 3 Swedish/English Linköping E
6MMAT Mathematics, Master's Programme 1 (Autumn 2022) 2 3 Swedish/English Linköping E

Main field of study

Information Technology, Computer Science and Engineering, Computer Science, Electrical Engineering

Course level

Second cycle

Advancement level

A1X

Specific information

Replaces TSKS11.

Course offered for

  • Master of Science in Computer Science and Engineering
  • Master of Science in Industrial Engineering and Management
  • Master of Science in Information Technology
  • Master of Science in Computer Science and Software Engineering
  • Master of Science in Applied Physics and Electrical Engineering
  • Master of Science in Industrial Engineering and Management - International
  • Master of Science in Applied Physics and Electrical Engineering - International
  • Bachelor's Programme in Mathematics
  • Master's Programme in Communication Systems
  • Master's Programme in Mathematics

Prerequisites

Linear algebra. Basic knowledge and understanding of probability theory/statistics. Programming skills in Python and Matlab.

Intended learning outcomes

After completing the course the students should

  • with adequate terminology, in a well-structured manner and logically coherent, be able to describe and conduct simpler calculations that relate to the specific concepts listed under "course contents". 
  • be able to describe, apply, and implement in a conventional programming language, and show engineering understanding of the theory and models used in the course.
  • be able to, in a structured manner, and using adequate language and terminology, orally report computer laboratory work.

Course content

Introduction to complex networks and network science. Graph representation of networks, adjacency matrix, degree sequence and degree distribution. Walks, paths and network motifs. Laplacian and its properties. Signed networks, bipartite, affiliation and tripartite networks. Similarity and clustering metrics. Centrality metrics, eigenvector centrality, Katz, PageRank, hubs and authorities. Sampling of networks, random walks, and friendship paradoxes. Assortativity metrics, modularity and degree correlations. Community detection and partitioning: Kernighan-Lin, Girvan-Newman and spectral algorithms. Network formation models: Poisson random networks, configuration model, preferential attachment, power-laws and scale-free networks, cutoffs. Watts-Strogatz model, Kleinberg model, small-world phenomena, searchability and reachability. Cascades, linear threshold models, DeGroot dynamic models and diffusion. Introduction to graph learning and graph signal processing.

Teaching and working methods

The course consists of 12 lectures, 7 tutorials and a series of computer laboratories. In-class examination of the computer laboratory work.

Examination

TEN1Written examination4 creditsU, 3, 4, 5
LAB1Laboratory work2 creditsU, G

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Courses in computer, information and communication networks, Internet and web technology, social networks, graph theory, machine learning and network analysis.

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is “Swedish”, the course as a whole could be given in Swedish, or partly in English. Examination language is Swedish, but parts of the examination can be in English.
  • If teaching language is “English”, the course as a whole is taught in English. Examination language is English.
  • If teaching language is “Swedish/English”, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English depending on teaching language.

Other

The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed. 

The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.  

If special circumstances prevail, the vice-chancellor may in a special decision specify the preconditions for temporary deviations from this course syllabus, and delegate the right to take such decisions.

Department

Institutionen för systemteknik

Course literature

Regulary literature

Books

  • Latora, Vito, Nicosia, Vincenzo, Russo, Giovanni, (2017) Complex networks : principles, methods and applications Cambridge : Cambridge University Press, 2017.
    ISBN: 9781107103184, 1107103185, 9781108299961

Additional literature

Compendia


  • Supplementary notes by E. G. Larsson.
Code Name Scope Grading scale
TEN1 Written examination 4 credits U, 3, 4, 5
LAB1 Laboratory work 2 credits U, G

Regulary literature

Books

Latora, Vito, Nicosia, Vincenzo, Russo, Giovanni, (2017) Complex networks : principles, methods and applications Cambridge : Cambridge University Press, 2017.

ISBN: 9781107103184, 1107103185, 9781108299961

Additional literature

Compendia

Supplementary notes by E. G. Larsson.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
TEN1
LAB1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
TEN1
LAB1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
TEN1
LAB1

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
X
X
X
TEN1
LAB1

                            
1.5 Insight into current research and development work
X

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
TEN1
LAB1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
X
LAB1

                            
2.3 System thinking
X
X
TEN1
LAB1

                            
2.4 Attitudes, thought, and learning
X
X
LAB1

                            
2.5 Ethics, equity, and other responsibilities
X
LAB1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications
X
LAB1

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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