SOCIAL NETWORKS ANALYSIS

Course Information
TitleΑΝΑΛΥΣΗ ΚΟΙΝΩΝΙΚΩΝ ΔΙΚΤΥΩΝ / SOCIAL NETWORKS ANALYSIS
CodeIW-06
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorAthina Vakali
CommonNo
StatusActive
Course ID600000817

Programme of Study: PPS School of Informatics (2014-today)

Registered students: 11
OrientationAttendance TypeSemesterYearECTS
TECΗNOLOGIES GNŌSĪS DEDOMENŌN KAI LOGISMIKOUElective Courses belonging to the selected specialization217.5
TECΗNOLOGIES PLĪROFORIAS KAI EPIKOINŌNIŌN STĪN EKPAIDEUSĪElective Courses217.5
PSĪFIAKA MESA- YPOLOGISTIKĪ NOĪMOSYNĪElective Courses217.5
DIKTYAKA SYSTĪMATAElective Courses217.5

Class Information
Academic Year2015 – 2016
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600011405
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Learning Outcomes
The students will be able to grasp the basic network analysis techniques. They acquire the necessary knowledge to be able to analyze a network and model it in order to make useful conclusions related to its structure and the significance of its constituents.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work in teams
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Notion of networks. Centrality measures. Random graphs, small-world graphs, and power law graphs. Cascades on networks. Network resilience. Community detection algorithms. Sentiment analysis and fraud detection.
Educational Material Types
  • Slide presentations
  • Multimedia
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Project1023.4
Written assigments421.4
Exams421.4
Total2257.5
Student Assessment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
Bibliography
Additional bibliography for study
[1] Networks, Crowds and Markets. D. Easley and J. Kleinberg. http://www.cs.cornell.edu/home/kleinber/networks-book/ [2] Network Science. A.L. Barabasi. http://barabasilab.neu.edu/networksciencebook/downlPDF.html
Last Update
21-03-2016