Centre For Business Network Analysis Summer School 2017
Monday 12 June, 2017 – Friday 16 June, 2017
The Centre for Business Network Analysis at the University of Greenwich, London, is hosting the 6th edition of a Summer School entirely dedicated to research design, data collection, and statistical methods for Social Network Analysis (SNA) of individuals and organisations.
The growing availability of network data - and the concurrent development of specialised methodologies to analyse and interpret them - offer unprecedented opportunities for research in all fields of social sciences. Just as it is important in academia, the study of offline and online social networks increasingly informs business and policy decision-making.
A SNA perspective can be employed to understand political, economic and social phenomena, and in particular: interactions between individual actors, groups or organisations resource and information flows; social influence.
SNA provides insight into structural constraints of actors dependent not only on their own relations but also on the way other actors are related. Embedding actors within the set of their interactions allows for a better understanding of the distribution of power, the effective impact of social and political action, the influence of cultural and social factors on individual behaviour.
Aims
The CBNA Summer School provides training to students and researchers intersted in adopting a network perspective and learning Social Network Analysis (SNA) methods.
A SNA perspective can be employed to understand political, economic and social phenomena, and in particular: interactions between individual actors, groups or organisations resource and information flows; social influence.
SNA provides insight into structural constraints of actors dependent not only on their own relations but also on the way other actors are related. Embedding actors within the set of their interactions allows for a better understanding of the distribution of power, the effective impact of social and political action, the influence of cultural and social factors on individual behaviour.
All social interaction can be viewed in network terms. This is because networks account for the relations between actors. SNA assists in examining individuals within their institutional context and relational contacts. Indeed some sociologists examine all interactions that relate to individuals, social groups or society as dependent on their networks.
Programme
The full-week courses run 4 hours per day over 5 days (Mon 12.6.17 - Friday 16.6.17).
The programme allows students to attend both one of morning courses and one of the afternoon courses.
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Morning Courses |
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09.00-13:00 |
Doing Research with SNA: Tools, Theories, and Applications Introduction to Network Science. From theory to real applications |
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13:00-14:00 |
Lunch buffet and visiting presentations |
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Afternoon Courses |
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14:00-18:00 |
Longitudinal Models for Social Network Analysis: Panel Data with Stochastic Actor-Oriented (SIENA) Models and Relational Events Models Cross-sectional Methods for Social Network Analysis: Quadratic Assignment Procedure and Exponential Random Graph Models Introduction to Machine Learning. Theory and Applications (2-day short course on Tuesday and Wednesday) |
The Summer School is also enriched by a social programme. We invite participants to exchange their views and explore more of Greenwich and London in an informal atmosphere. Opportunities for all participants to the Summer School to meet are scheduled during each day. Specific activities are also organized during some evenings, as per the calendar below.
Fees
| Fee Description | Available From | Available Until | Cost |
| Doing Research with SNA: Tools, Theories, and Applications (Early bird fee) | 10 January, 2017 | 1 May, 2017 | 430.00 (GBP) |
| Longitudinal Models for Social Network Analysis (Early bird fee) | 10 January, 2017 | 1 May, 2017 | 430.00 (GBP) |
| Introduction to Network Science. From theory to applications (Early bird fee) | 10 January, 2017 | 1 May, 2017 | 430.00 (GBP) |
| Cross-sectional Methods for SNA: QAP-based procedure and ERGM (Early bird fee) | 27 March, 2017 | 9 June, 2017 | 430.00 (GBP) |
| Introduction to Machine Learning: Theory and Applications (Early bird fee) | 27 March, 2017 | 9 June, 2017 | 170.00 (GBP) |
The Complex Systems Society (CSS) sponsors the CBNA Summer School and provides full-fee waivers for attending one of the courses to three attendees. To be eligible attendees need to be member of the Complex Systems Society. To apply for a CSS waiver attendees should submit their CV and a cover letter here by the 28th April 2017. The applicants will be selected by the instructors of the CBNA Summer School based on merit and fit of their research interests.
For more information please click "Further Official Information" below.
This opportunity has expired. It was originally published here:
https://showtime.gre.ac.uk/index.php/business/CBNASS17/schedConf/index