Manchester Social Networks Group

Events

Upcoming events:

===

Jan 21st 1.00pm-2.00pm Martin Everett "What is Social Network Analysis"
Hanson Room Humanities Bridgeford Street

The first in a regular series of lunch-time talks which provide short,
accessible introductory guides to key research methods under the
auspices of methods@manchester.
http://www.methods.manchester.ac.uk/events/whatis/

Feb 8th 10.00 am-4.00pm Social Networks Day
Room 1.69/1.70, Humanities Bridgeford Street Building

Research on Social Networks at Manchester. Jointly with
methods@manchester, a free event but please register for catering
purposes.
http://www.methods.manchester.ac.uk/events/special/index.shtml

Feb 10th 3.30pm-5.00pm. Bernie Hogan Oxford University
Hanson Room Humanities Bridgeford Street

Seminar programme: Bernie will present some of his work on social
networks and media convergence.

Mar 3rd 3.30-5.00pm. Johan Koskinen Oxford University
Arthur Lewis Boardroom (2.016)

Seminar programme: Johan will discuss statistical issues in social
network analysis.

April 14th-16th 2010 * UK Social Networks Conference, Manchester.

6th UK Social Networks Conference

Wednesday 14th April - Friday 16th 2010
University of Manchester

Workshops on Monday 12th and Tuesday 13th

Keynote Speakers:
Lin Freeman University of California
Russ Bernard University of Florida
Pat Doreian University of Pittsburgh

Important dates:
January 31st: Abstract submission deadline
February 28th: Registration deadline

http://www.socialsciences.manchester.ac.uk/disciplines/sociology/events/sn/

For any further information please email to elisa.bellotti@manchester.ac.uk

Past events:

January 11th-13th 2010 * 3-day short course on Social Network Analysis click here for details .

An MSNG meeting was be held on Wednesday December 9th 2009 and focused on presentations by PhD students and junior colleagues using SNA in their research. (10am - 2pm, venue tbc.)

SNA pioneer Martin Everett has recently been appointed as a Professor of Social Network Analysis, at the University of Manchester, based in Sociology. Martin has a long history of involvement and innovation in SNA and we are very much looking forward to working with him. Part of his brief will be to further develop and expand the SNA profile and activities of the Manchester group, so watch this space!

A 3-day 'Introduction to Social Network Analysis (Using UCINET)' short course will be run on 11th - 13th January 2010, with contributions from Martin Everett, Elisa Bellotti, Nick Crossley and Mark Tranmer. More details here.

The UK Social Networks conference will be held in Manchester from 13-16th April 2010.

Mark Tranmer and colleagues were recently successful in securing funding from the Leverhulme trust to form a 'Multilevel Network Modelling Group' as an international collaborative network. The project involves Pip Pattison and Garry Robins (Melbourne); Tom Snijders and Johan Koskinen (Oxford); Stanley Wasserman (Indiana); Noshir Contractor (Northwestern); Emmanuel Lazega (Paris-Dauphine); Alessandro Lomi (Lugano); Mark Tranmer and Mark Elliot (Manchester); Rafael Wittek (Groningen). This 3 year project commenced on October 1st 2009. Meetings and workshops for this project will be announced here in due course.

* June 9th: a full day workshop on 'Qualitative aspects of network analysis'. Contributions by Sue Heath (Southampton), Gemma Edwards, Elisa Bellotti, Nick Crossley.

* 7-8th may 2009 - workshop on ucinet, netdraw, ego-nets

The School of Social Science, University of Manchester, organises a two days workshop
on the analysis of network data and egonetworks via Ucinet and Netdraw.

The course will be taught by Martin Everett and Elisa Bellotti.

The course will be held Thursday 7th and Friday 8th of May 2009 at the University of Manchester.

15 places are available. Ucinet and Netdraw trial versions are provided on the University computers.

The programme is now available at
http://www.socialsciences.manchester.ac.uk/disciplines/sociology/events/workshop/

* March 17th 2009 - Christiana Prell (Sheffield) 'Small Worlds and Social Captial'

Wednesday February 25th 2009 10.30 - 12.30 Humanities Bridgeford Street Building 1.69/1.70 Special Joint Meeting of the Manchester Social Networks Group and Social Statistics Research Group on 'Social Network Analysis and Multilevel Structures' - Presentations by Veronica de Miguel (Malaga); Janna Fortuin (Leiden); Mark Tranmer (Manchester): Programme (pdf).

* Jan 12-14 2009: Social Network Analysis 3-day course

* Jan - Feb 2009 Visit by Johan Koskinen, University of Melbourne Social Networks Group.

* December 2008 - meeting of group with presentation by Nick Crossley

* 18th November 2008 : Tom Snijders, 'Social Network Dynamics', CCSR seminar series.

* 4th November 2008: Chris Phillipson, 'Social Change and Social Networks in Later Life'. CCSR seminar series. More details of seminar series here

* 20th October 2008: 'the large glasshouse' 3rd floor, Arthur Lewis Building, University of Manchester. 'A multilevel analysis of the personal networks of immigrants to Spain'. Veronica Di Miguel and Mark Tranmer. Presented by Mark Tranmer

* 6th march 2008 - 10.30 - 12

venue 'big glass room' 3rd floor, Arthur Lewis Building

Short presentation by Dr Mark Tranmer:

"Network effects in multilevel analysis"

Mark Tranmer

Johan Koskinen

slides (do not quote without permission from authors)

+ short tutorial on use of pnet software

* 17th october 2007 - Meeting room two - 'the big glass room' - School of Social Sciences, Arthur Lewis Building, University of Manchester

11.30 - 12.30:

two short presentations, with discussion:

"Relationality and social interaction"

Wendy Bottero

University of Manchester

and

"Class Reproduction and Social Networks in the US"

Fiona Devine

University of Manchester

* 4th September 2007

Interdependencies in a social network context from a statistical perspective with an illustration of the treatment of missing data

Johan Koskinen, Department of Psychology, School of Behavioural Science, University of Melbourne, Australia

Room G.030/031 Arthur Lewis Building

Statistical inference typically relies heavily on the assumption of independent observations. In some cases where this assumption is not appropriate, multilevel analysis may be used to account for dependencies that stem from the shared contexts of observations. These contexts may for example be the shared experience of respondents of common neighbourhoods, students going to the same school, having had the same teacher, etc. In the social network analysis (SNA) setup we deal with modelling the social interaction among individuals or the influence and effect of social interactions on various outcomes. The first may for example be the study of information seeking behaviour, collaboration or friendship formation. The latter may be a study of the diffusion of innovations and ideas or the influence of pears in opinion formation and the role of peer pressure for the attitudes of individuals. Here we develop the notion of the types of dependencies among observations one might expect to have in SNA and how these limit the scope for using standard statistical techniques. We proceed to suggest that this calls for the development of new tools and methods for quantitative SNA and we give a brief review of the progress that has been made in this area throughout the years in the SNA group in Melbourne.

Consider the problem of how to fit the recently proposed extension of the exponential family random graph distribution (ERGM or p*) to social network data where information may be missing for some pairs of actors as a result of non-response or insufficient monitoring of actors or dyads (pairs of actors). Some of the risks associated with ignoring missing information in social network analysis are succinctly reflected in their formal representation in the ERGM framework. Making some fairly simplistic assumptions for the missing data mechanisms we show how recent advances in model fitting allows us to estimate statistical parameters using standard Bayesian data augmentation techniques. These results are presented in the context of an illustrational data set. We go on to discuss how the inference scheme can be extended to take into account more realistic missing data mechanisms and how the proposed scheme relates to issues of missing nodes.

Manchester Social Networks Group
Home Events Courses Research Publications Masters and PhD Study People Links CCSR Social Statistics	Events Upcoming events: === Jan 21st 1.00pm-2.00pm Martin Everett "What is Social Network Analysis" Hanson Room Humanities Bridgeford Street The first in a regular series of lunch-time talks which provide short, accessible introductory guides to key research methods under the auspices of methods@manchester. http://www.methods.manchester.ac.uk/events/whatis/ Feb 8th 10.00 am-4.00pm Social Networks Day Room 1.69/1.70, Humanities Bridgeford Street Building Research on Social Networks at Manchester. Jointly with methods@manchester, a free event but please register for catering purposes. http://www.methods.manchester.ac.uk/events/special/index.shtml Feb 10th 3.30pm-5.00pm. Bernie Hogan Oxford University Hanson Room Humanities Bridgeford Street Seminar programme: Bernie will present some of his work on social networks and media convergence. Mar 3rd 3.30-5.00pm. Johan Koskinen Oxford University Arthur Lewis Boardroom (2.016) Seminar programme: Johan will discuss statistical issues in social network analysis. April 14th-16th 2010 * UK Social Networks Conference, Manchester. 6th UK Social Networks Conference Wednesday 14th April - Friday 16th 2010 University of Manchester Workshops on Monday 12th and Tuesday 13th Keynote Speakers: Lin Freeman University of California Russ Bernard University of Florida Pat Doreian University of Pittsburgh Important dates: January 31st: Abstract submission deadline February 28th: Registration deadline http://www.socialsciences.manchester.ac.uk/disciplines/sociology/events/sn/ For any further information please email to elisa.bellotti@manchester.ac.uk == Past events: January 11th-13th 2010 * 3-day short course on Social Network Analysis click here for details . An MSNG meeting was be held on Wednesday December 9th 2009 and focused on presentations by PhD students and junior colleagues using SNA in their research. (10am - 2pm, venue tbc.) SNA pioneer Martin Everett has recently been appointed as a Professor of Social Network Analysis, at the University of Manchester, based in Sociology. Martin has a long history of involvement and innovation in SNA and we are very much looking forward to working with him. Part of his brief will be to further develop and expand the SNA profile and activities of the Manchester group, so watch this space! A 3-day 'Introduction to Social Network Analysis (Using UCINET)' short course will be run on 11th - 13th January 2010, with contributions from Martin Everett, Elisa Bellotti, Nick Crossley and Mark Tranmer. More details here. The UK Social Networks conference will be held in Manchester from 13-16th April 2010. Mark Tranmer and colleagues were recently successful in securing funding from the Leverhulme trust to form a 'Multilevel Network Modelling Group' as an international collaborative network. The project involves Pip Pattison and Garry Robins (Melbourne); Tom Snijders and Johan Koskinen (Oxford); Stanley Wasserman (Indiana); Noshir Contractor (Northwestern); Emmanuel Lazega (Paris-Dauphine); Alessandro Lomi (Lugano); Mark Tranmer and Mark Elliot (Manchester); Rafael Wittek (Groningen). This 3 year project commenced on October 1st 2009. Meetings and workshops for this project will be announced here in due course. * June 9th: a full day workshop on 'Qualitative aspects of network analysis'. Contributions by Sue Heath (Southampton), Gemma Edwards, Elisa Bellotti, Nick Crossley. * 7-8th may 2009 - workshop on ucinet, netdraw, ego-nets The School of Social Science, University of Manchester, organises a two days workshop on the analysis of network data and egonetworks via Ucinet and Netdraw. The course will be taught by Martin Everett and Elisa Bellotti. The course will be held Thursday 7th and Friday 8th of May 2009 at the University of Manchester. 15 places are available. Ucinet and Netdraw trial versions are provided on the University computers. The programme is now available at http://www.socialsciences.manchester.ac.uk/disciplines/sociology/events/workshop/ * March 17th 2009 - Christiana Prell (Sheffield) 'Small Worlds and Social Captial' Wednesday February 25th 2009 10.30 - 12.30 Humanities Bridgeford Street Building 1.69/1.70 Special Joint Meeting of the Manchester Social Networks Group and Social Statistics Research Group on 'Social Network Analysis and Multilevel Structures' - Presentations by Veronica de Miguel (Malaga); Janna Fortuin (Leiden); Mark Tranmer (Manchester): Programme (pdf). * Jan 12-14 2009: Social Network Analysis 3-day course * Jan - Feb 2009 Visit by Johan Koskinen, University of Melbourne Social Networks Group. * December 2008 - meeting of group with presentation by Nick Crossley * 18th November 2008 : Tom Snijders, 'Social Network Dynamics', CCSR seminar series. * 4th November 2008: Chris Phillipson, 'Social Change and Social Networks in Later Life'. CCSR seminar series. More details of seminar series here * 20th October 2008: 'the large glasshouse' 3rd floor, Arthur Lewis Building, University of Manchester. 'A multilevel analysis of the personal networks of immigrants to Spain'. Veronica Di Miguel and Mark Tranmer. Presented by Mark Tranmer * 6th march 2008 - 10.30 - 12 venue 'big glass room' 3rd floor, Arthur Lewis Building Short presentation by Dr Mark Tranmer: "Network effects in multilevel analysis" Mark Tranmer Johan Koskinen slides (do not quote without permission from authors) + short tutorial on use of pnet software * 17th october 2007 - Meeting room two - 'the big glass room' - School of Social Sciences, Arthur Lewis Building, University of Manchester 11.30 - 12.30: two short presentations, with discussion: "Relationality and social interaction" Wendy Bottero University of Manchester and "Class Reproduction and Social Networks in the US" Fiona Devine University of Manchester * 4th September 2007 Interdependencies in a social network context from a statistical perspective with an illustration of the treatment of missing data Johan Koskinen, Department of Psychology, School of Behavioural Science, University of Melbourne, Australia Room G.030/031 Arthur Lewis Building Statistical inference typically relies heavily on the assumption of independent observations. In some cases where this assumption is not appropriate, multilevel analysis may be used to account for dependencies that stem from the shared contexts of observations. These contexts may for example be the shared experience of respondents of common neighbourhoods, students going to the same school, having had the same teacher, etc. In the social network analysis (SNA) setup we deal with modelling the social interaction among individuals or the influence and effect of social interactions on various outcomes. The first may for example be the study of information seeking behaviour, collaboration or friendship formation. The latter may be a study of the diffusion of innovations and ideas or the influence of pears in opinion formation and the role of peer pressure for the attitudes of individuals. Here we develop the notion of the types of dependencies among observations one might expect to have in SNA and how these limit the scope for using standard statistical techniques. We proceed to suggest that this calls for the development of new tools and methods for quantitative SNA and we give a brief review of the progress that has been made in this area throughout the years in the SNA group in Melbourne. Consider the problem of how to fit the recently proposed extension of the exponential family random graph distribution (ERGM or p*) to social network data where information may be missing for some pairs of actors as a result of non-response or insufficient monitoring of actors or dyads (pairs of actors). Some of the risks associated with ignoring missing information in social network analysis are succinctly reflected in their formal representation in the ERGM framework. Making some fairly simplistic assumptions for the missing data mechanisms we show how recent advances in model fitting allows us to estimate statistical parameters using standard Bayesian data augmentation techniques. These results are presented in the context of an illustrational data set. We go on to discuss how the inference scheme can be extended to take into account more realistic missing data mechanisms and how the proposed scheme relates to issues of missing nodes.