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Ph.D. course on Social Network Analysis: Call For Application
时间:2017-03-17 阅读:733 【打印

Time
From Sunday afternoon, 12 November, to Saturday morning, 18 Nov 2017.

Location
Sino-Danish Center on Yanqihu campus of University of Chinese Academy of Sciences in north-eastern Beijing.

Instructors
Professor Thomas Schøtt, Dept. of Entrepreneurship and Relationship Management, University of Southern Denmark, and several Chinese network researchers, who will give guest lectures.

Participants
The course is intended for researchers and PhD students who are studying networks in business, organization or social life, and who wish to acquire network analytic tools and skills to map and analyze networks. The course does not presume acquaintance with network analysis (although familiarity with quantitative research methods will be useful).

Cost: none
The course is free. Accommodation and meals are provided freely at the Sino-Danish Center. Stipends for travel from Denmark can be awarded by emailing Thomas Schøtt.

Application
By 1 October 2017 to tsc @ sam.sdu.dk (early registration is recommended, as the course expectedly will fill up).

Requirement

Training exercises will be emailed to participants by 1 October 2017. The exercises will train a basic understanding of ideas and techniques of network analysis.  Solutions must be submitted before meeting in the course.

Credits/evaluation
5 ECTS (European Credit Transfer System). Certificates will be issued by University of Southern Denmark to participants who complete all requirements (including submission of all required assignments and full participation).

Purpose and content
Networks can be mapped as relations among actors. An actor may be a person, an organization, a nation, a region or some other entity that can engage in action. For example, we may examine - qualitatively and quantitatively - how networks constrain and enable actors' thoughts and behaviors. Networks are analyzed in sociology, psychology, anthropology, political science, history, geography, communication, and studies of business, management, administration, policy and social development. Introductions to principles of network analysis can be read via www.analytictech.com. The aim of the course is to empower the participants to analyze networks and to integrate theory and methodology in the analyses of social networks, e.g. business networks. The course will teach the general theoretical and methodological principles and apply them to actual networks. The course has two goals. First, the participants will be exposed to, and discuss, a variety of conceptual and theoretical perspectives on the study of networks, along with methods utilized in these theoretical frameworks. Second, the participants will learn to conduct quantitative analyses of networks. Training will be offered in analyses at the level of the whole system, at the level of subgroups, and at the level of individual actors. The format combines lectures and discussion with training in analyses. We use SPSS and network analytic software such as UCINET and NETDRAW which each student will have to install. Data on some networks will be made available by the instructor (e.g. some data on interlocking directorates among enterprises in a city, or flows between provinces in China), but the participants are also welcome to bring some data on networks (if you have some data on networks, please tell Thomas when registering).

 

Literature

Analyzing Social Networks, Stephen Borgatti et al (Sage 2013); read this around the time you register for the course.

Doing Social Network Research, Garry Robins (Sage, 2015); read this around the time you register for the course.

UCINET software package (including NetDraw), that you download from www.analytictech.com

The SPSS software, that you at your university should get installed on your laptop.

Introduction to Social Network Methods; free from www.faculty.ucr.edu/~hanneman/nettext/  (optional reading).

 

Program

Sunday: Arrivals to Sino-Danish Center on UCAS Yanqihu campus in Beijing (Danes may fly to arrive a’noon).

      Individual consultation with Thomas on your interest; optional (schedule it by emailing Thomas).

Dinner for all participants at 6 pm.

Participants present themselves and their background and discuss their interests.

Monday 8-9am breakfast. 9am-5pm instruction with lunch and snacks. 6pm dinner. Topics:

Visualization of a network.

Exercises in drawing networks, using UCINET and NetDraw.

       Research designs for collecting data on social networks.

       Exercise in writing a questionnaire for measuring a network around an actor.

Tuesday  8-9am breakfast. 9am-5pm instruction with lunch and snacks. 6pm dinner. Topics:

       Conceptualizing the network around an actor, and theorizing about it.

       Formalizing properties of the network around an actor.

       Exercises in analyzing networks around actors, and testing hypotheses, using SPSS.

Wednesday    8-9am breakfast. 9am-5pm instruction with lunch and snacks. 6pm dinner. Topics:

       Conceptualizing actor participation in a bounded system of actors, and theorizing about it.

       Measuring properties of the network around an actor and actor participation, using UCINET.

       Exercises in analyzing networks around actors, and actor participation, using UCINET.

Thursday       8-9am breakfast. 9am-5pm instruction with lunch and snacks. 6pm dinner. Topics:

       Conceptualizing groups of actors within a system, and theorizing about this.

       Formalizing concepts of a group.

       Exercises in identifying groups such as cliques and positions within a system.

       Reconceptualizing a system of interrelated actors as a system of interrelated roles.

       Exercises in describing a system of actors as a system of roles with role-relations.

Friday     8-9am breakfast. 9am-5pm instruction with lunch and snacks. 6pm dinner. Topics:

       Conceptualizing properties of the system such as its configuration, e.g. center-and-periphery.

       Exercises in analyzing properties of the system, using UCINET.

       Handling data for analysis in UCINET.

       Exercises in handling data, using UCINET.

Saturday        8-9am breakfast.

      Individual consultation with Thomas on your interest; optional (schedule a timeslot with Thomas).

Departure (e.g. Danes may easily go to airport for flight in afternoon).

 

Further information

Email to Thomas tsc @ sam.sdu.dk

 

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