Department of Mathematics

ECON 430 | Course Introduction and Application Information

Course Name

Social and Economic Networks

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
ECON 430	Fall/Spring	3	0	3	6

Prerequisites

	ECON 101 To succeed (To get a grade of at least DD)
or	ECON 102 To succeed (To get a grade of at least DD)
or	GEEC 203 To succeed (To get a grade of at least DD)
or	ECON 100 To succeed (To get a grade of at least DD)

Course Language

English

Course Type

Elective

Course Level

First Cycle

Mode of Delivery

Teaching Methods and Techniques of the Course

National Occupation Classification

Course Coordinator

Prof. Dr. Alper DUMAN

Course Lecturer(s)

Prof. Dr. Alper DUMAN

Assistant(s)

Araş. Gör. D. Barış ŞEN

Course Objectives	This course focuses on the analysis of social and economic networks. One of the sub aims of the course is to make students learn structural characteristics of networks based on simulations and derived from real world examples. Another aim is to let students to understand the dynamics of networks and study the interaction of individual agents’ behavior and emergent macro outcomes.
Learning Outcomes	The students who succeeded in this course; The students who succeeded in this course will be able to; Explore various social and economic networks and edit the raw data into a network database Understand how typical/generic networks can form Calculate adequate network measures essential for comparative analysis of networks Examine which factors can influence the stability and robustness of networks Analyze the interaction between the individual behavior on the networks and the macro outcomes
Course Description	The subjects of the course are the social and economic networks that permeate our social lives. Materials to be covered in the course include firm ownership networks and job search networks as well as friendship networks. Networks measures such as centrality, density and average distance will be discussed. Random link formation and strategic link formation will be examined. The spread of information, epidemics or opinions on the networks will be studied. In the course students will use network analysis software packages such as PAJEK, Dephi and igraph.
Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation
1	ıntroduction: Network examples	SEN, chapter 1
2	Network types and network measures	SEN, chapter 2
3	Significance of social and economic networks	NCM, chapter 1
4	Random Network dynamics	SEN, chpater 3
5	Strategic Network Formation	SEN, chapter 4
6	Cliques and communities	NCM, chapter 3
7	Small Worlds, Preferential Attachment	SEN, chapter 5
8	Midterm
9	Diffusion on networks	SEN, chapter 6
10	Learning on networks	SEN, chapter 7
11	Collective action on networks	SEN, chapter 8
12	Games on networks	SEN, chapter 9
13	Games on networks	SEN, chapter 9
14	Review of the Semester
15	Individual behavior and macro outcomes	SEN, chapter 10
16	Cool Network Applications

Course Notes/Textbooks	Social and Economic Networks, 2008, Matthew O. Jackson, Princeton University Press. (SEN)
Suggested Readings/Materials	Networks, Crowds, and Markets: Reasoning about a Highly Connected World. By David Easley and Jon Kleinberg. Cambridge University Press, 2010. Complete preprint on-line at http://www.cs.cornell.edu/home/kleinber/networks-book/, (NCM)

EVALUATION SYSTEM

Semester Activities	Number	Weigthing
Participation	-	-
Laboratory / Application	-	-
Field Work	-	-
Quizzes / Studio Critiques	-	-
Portfolio	-	-
Homework / Assignments	4	40
Presentation / Jury	-	-
Project	1	25
Seminar / Workshop	-	-
Oral Exams	-	-
Midterm	-	-
Final Exam	1	35
Total	6	100

Weighting of Semester Activities on the Final Grade	5	65
Weighting of End-of-Semester Activities on the Final Grade	1	35
Total	6	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	2	32
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16	1	16
Study Hours Out of Class	16	3	48
Field Work	-	-	-
Quizzes / Studio Critiques	-	-	-
Portfolio	-	-	-
Homework / Assignments	4	8	32
Presentation / Jury	-	-	-
Project	1	20	20
Seminar / Workshop	-	-	-
Oral Exam	-	-	-
Midterms	-	-	-
Final Exam	1	30	30
		Total	178

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	Program Competencies/Outcomes	* Contribution Level
#	Program Competencies/Outcomes	1	2	3	4	5
1	To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.	-	-	-	-	-
2	To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.	-	-	-	-	-
3	To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.	-	-	-	-	-
4	To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.	-	-	-	-	-
5	To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.	-	-	-	-	-
6	To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.	-	-	-	-	-
7	To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.	-	-	-	-	-
8	To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.	-	-	-	-	-
9	To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.	-	-	-	-	-
10	To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.	-	-	-	-	-
11	To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.	-	-	-	-	-
12	To be able to speak a second foreign language at a medium level of fluency efficiently.	-	-	-	-	-
13	To be able to relate the knowledge accumulated throughout the human history to their field of expertise.	-	-	-	-	-