Network analysis of political communications

Course: International Communications

Structural unit: Educational and scientific institute of international relations

Title
Network analysis of political communications
Code
ВБ15.2
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
7 Semester
Number of ECTS credits allocated
4
Learning outcomes
Understand the features of the network approach in the study of political communications. Understand the possibilities of network analysis in terms of forecasting efficiency. Know the typology of networks and the scope of their effective operation. Be able to choose the method of visualization of the network scheme in accordance with the purpose of the study, to use software to build network diagrams. Be able to highlight key characteristics of the network, the main actors in communication, to determine the forecast characteristics and develop recommendations based on the analysis of schemes. Be able to argue orally and / or in writing the choice of visualization method / algorithm, to formulate forecasts and recommendations based on the analysis of schemes. Independently perform analysis and visualization of network schemes on professional topics
Form of study
Prerequisites and co-requisites
- Knowledge of the basics of communication theory, public relations, psychology and ethics of communication, theoretical and methodological foundations of communication management in international relations, graph theory - Ability to visualize network data, choose the method and form of presentation of visual information, formulate generalizations and recommendations - Basic skills of work on a PC and the use of software, work with sources and channels of information
Course content
1. The essence of the network approach. Typology of networks. Areas of effective functioning. 2. Features of the network approach in the study of political communications. 3. Examples of network graphs. Case studies. 4. Ways to visualize the network. Structuring subnets. 5. Basic metrics of network analysis. Attributes of the main actors. 6. Formation of forecasts and recommendations.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
Lecture, practical classes, case studies, educational discussions, individual and group practical tasks
Assessment methods and criteria
1. Activity and participation in the discussion and in group practical work, the quality of argumentation in the discussion; the quality of the individual task – up to 60 points. 2. Tasks for individual work (case study presentation) – up to 20 points. 3.Module control work (online testing) – up to 20 points.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline