Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
ECN 5057	TOPICS IN SOCIAL NETWORK ANALYSIS	ELECTIVE	3	0	0	6

Offered By

Economics (English)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR MEHMET ALDONAT BEYZATLAR

Offered to

Economics (English)

Course Objective

Everything is connected: people, information, events and places. A practical way of making sense of the tangle of connections is to analyze them as networks. Social Network Analysis (SNA) is a set of analytical methods and theories that study the pattern of relations among actors. Social networks are everywhere and play a role in substantive problems that cut across many subjects and disciplines. Any research problem that involves actors who have relations with each other, and relations that can be observed and measured, may benefit from Social Network Analysis. This course aims to provide students about the structure and evolution of networks, drawing on knowledge from economics.

Learning Outcomes of the Course Unit

1	Demonstrate understanding of basic concepts of network analysis so that students can recognize what are networks and what use is it to study them.
2	Identify different types of networks in order to analyze their impacts under different structures.
3	Be able to use software so that students can analyze different network structures.
4	Make presentations and prepare a term project on a given subject with the purpose of doing descriptive analysis of different networks.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Foundations of SNA
2	Networks
3	Ego-Networks
4	Global Networks
5	Applications of SNA
6	SNA and Online Social Networks
7	Economics and SNA
8	Network Data Collection
9	Network Metrics
10	Network Metrics and Graphs
11	Network Metrics and Graphs
12	Network Metrics and Graphs

Recomended or Required Reading

1. Stanley Wasserman and Katherine Faust. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press.
2. Robert Hanneman. (2005). Introduction to Social Networks. (A free online text-book).

Planned Learning Activities and Teaching Methods

1. Lectures
2. Readings
3. Data Search and Empirical Analysis

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	FCG	FINAL COURSE GRADE
3	FCGR	FINAL COURSE GRADE	MTE * 0.40 + FCG* 0.60
4	RST	RESIT
5	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.40 + RST* 0.60

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1. The learner will clearly define social network analysis' concepts.
2. The learner will use necessary data and empirical tools to explain the interaction through networks.
3. The learner will recognize economic issues defined in reserved books and resources at the library.

Language of Instruction

English

Course Policies and Rules

1. Attending at least 70 percent of lectures is mandatory.
2. Plagiarism of any type will result in disciplinary action.

Contact Details for the Lecturer(s)

mehmet.beyzatlar@deu.edu.tr

Office Hours

Please make an appointment by e-mail.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	12	3	36
Preparations before/after weekly lectures	12	3	36
Preparation for midterm exam	1	15	15
Preparation for final exam	1	15	15
Reading	10	2	20
Preparing presentations	2	10	20
Midterm	1	3	3
Final	1	3	3
TOTAL WORKLOAD (hours)			148

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.4	PO.5	PO.6	PO.7	PO.8	PO.9
LO.1	5	4
LO.2		5		3
LO.3			4		5	4
LO.4						5	5

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION