Definition
S
cience
Methods of network analysis
d
t
k
l i
t l f
t d i
ent of
Social
S
and network analysis as a tool for studying
migrant organizations
m , Departem e TRAMO-project workshop Oxford, 30.03.2009 es ersität Bochu m e/sozomm Ludger Pries Ludger Pri e Ruhr -Univ e www .r ub. d eNetworks: basic aspects
Definition
Betweenness CentralityS cience ent of Social S m , Departem e Degree Centrality es ersität Bochu m e/sozomm Closenness Centrality Pri e -Univ e .r ub. d e
Networks: Unionization in Krackhardt’s high-tech company?
Definition
S cience Similar relations: - Friendship relation ... - Reports to ... communicates at least ent of Social S - communicates at least 1x/week...- most important informant ... - relevant gate keeper ...
m , Departem e es ersität Bochu m e/sozomm Wassermann, Stanley/Faust, Katherine 1995: Ludger Pri e Ruhr -Univ e www .r ub. d e Katherine, 1995:
Social Network Analysis.
New York: Cambridge University Press, p. 740
Networks: clustering coefficients
Definition
S cience Clustering coefficients: 3 clusters:1 cluster with 1 relation per node 1 cluster with 2 relations per node
ent of
Social
S 1 cluster with 2 relations per node
1 cluster with 3 relations per node
m , Departem e es ersität Bochu m e/sozomm Pri e -Univ e .r ub. d e
Networks: visualization techniques
Definition
S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Ludger Pri e Ruhr -Univ e www .r ub. d eMichael Baur: visone- Analysis and Visualization of Social Networks. http://visone.info/documentation.php (Fakultät für Informatik Universität Karlsruhe (TH), Advanced Political Network Modeling, presentation at International Conference on Advanced Political Network Modeling, June 2007, Mannheim)
Networks: visualization techniques
Definition
S cience ent of Social S m , Departem eQuelle: Vahsen et al. (2001): Projektbericht Altern in fremden Kulturen. Pädagogische es ersität Bochu m e/sozomm Pädagogische Handlungsansätze und soziale Interventionen. Fachhochschule Hildesheim/Holzminden/Göt i Pri e -Univ e .r ub. d e tingen, FB Sozialpädagogik/DIGESA, S. 279
Network analysis and the TRAMO research questions
Definition
6 types of CBMOs
R / Arrival Country S cience Resources/ issues/actions country focused y of origin focusedCross border Weak strong
ent of
Social
S
1. Focal, arrival country centred
coordination Weak strong
m , Departem e es ersität Bochu m e/sozomm Ludger Pri e Ruhr -Univ e www .r ub. d e
Network analysis and the TRAMO research questions
Definition
6 types of CBMOs
R / Arrival Country S cience Resources/ issues/actions country focused y of origin focusedCross border Weak strong
ent of
Social
S
coordination Weak strong
1. Focal, arrival country centred 2. Global, arrival country centred
m , Departem e , y es ersität Bochu m e/sozomm Pri e -Univ e .r ub. d e
Network analysis and the TRAMO research questions
Definition
6 types of CBMOs
R / Arrival Country S cience Resources/ issues/actions country focused y of origin focusedCross border Weak strong
ent of
Social
S
coordination Weak strong
2. Global, arrival country centred 1. Focal, arrival country centred
m
, Departem
e
3. Focal, country of origin centred
, y
4. Global, country of origin centred
es ersität Bochu m e/sozomm Ludger Pri e Ruhr -Univ e www .r ub. d e
Network analysis and the TRAMO research questions
Definition
6 types of CBMOs
R / Arrival Country S cience Resources/ issues/actions country focused y of origin focusedCross border Weak strong
ent of
Social
S
coordination Weak strong
2. Global, arrival country centred 1. Focal, arrival country centred
m
, Departem
e , y
3. Focal, country of origin centred
es ersität Bochu m e/sozomm Pri e -Univ e .r ub. d e
Network analysis and the TRAMO research questions
Definition
6 types of CBMOs
R / Arrival Country S cience Resources/ issues/actions country focused y of origin focusedCross border Weak strong
ent of
Social
S
coordination Weak strong
2. Global, arrival country centred 1. Focal, arrival country centred
m
, Departem
e , y
3. Focal, country of origin centred 4. Global, country of origin centred 5 Multinational es ersität Bochu m e/sozomm 5. Multinational Ludger Pri e Ruhr -Univ e www .r ub. d e
Network analysis and the TRAMO research questions
Definition
6 types of CBMOs
R / Arrival Country S cience Resources/ issues/actions country focused y of origin focusedCross border Weak strong
ent of
Social
S
coordination Weak strong
2. Global, arrival country centred 1. Focal, arrival country centred
m
, Departem
e , y
3. Focal, country of origin centred 4. Global, country of origin centred 5 Multinational es ersität Bochu m e/sozomm 5. Multinational 6. Transnational Pri e -Univ e .r ub. d e
Network analysis and the TRAMO research questions
Definition
Main objectives of Ego-centred Network Data Sheets:
Measure the configuration of personal networks of MO activists in order to:
- analyse the spatial distribution of activists in everyday work and campaigns
S
cience
y
p
y y
p g
- analyse the forms and strength of MO’s coordination mechanisms
- define the perceived organisational field of the MO
ent of Social S m , Departem e es ersität Bochu m e/sozomm Ludger Pri e Ruhr -Univ e www .r ub. d e
Network analysis and the TRAMO research questions
Definition
¾ Could you tell me who are the most important persons in your everyday work
for X (name of MO)? Î names of about 5-10 persons
¾ If you remember the campaign X (of the MO): Who were the most important
k d i h i hi i ? Î f b 5 10
S
cience
persons you worked with in this campaign? Î names of about 5-10 persons
¾ If you think of the cooperation with your MO partners in X (name of country of origin) : Who are the most important persons you work with in your everyday
ent of
Social
S
work for X (name of MO)? Î names of about 5 persons
¾ If you think of the cooperation with your MO partners in X (name of country of origin) : Who were the most important persons in the campaign X (of the MO)?
Î names of about 5 persons
m
, Departem
e Î names of about 5 persons
¾ Thinking of the external addressees and cooperation partners of X (name of MO): Could you name me the most important persons you interact with in your everyday work ? Î names of about 5 persons
es ersität Bochu
m
e/sozomm
everyday work ? Î names of about 5 persons
¾ Thinking of the external addressees and cooperation partners of X (name of MO): Who were the most important persons you interacted with in the campaign X (of the MO)? Î names of about 5 persons
Pri e -Univ e .r ub. d e
- resource mobilisation, members’ mobilisation, assemblies, elections - publications, media, activities/campaigns, resource mobilisation
means/type frequency
Network analysis and the TRAMO research questions
Definition
Persons Activity/type of
relation
Direction of relation Frequency/ intensity
MO-partner (CA)
S
cience
1. name campaigning mutual low
2. name member mobilisation ordering middle
3. name
ent of
Social
S
4. name
MO- partner (CO) 1. name m , Departem e 2. name 3. name 4. name es ersität Bochu m e/sozomm 4. name External partners
1. name money mobilisation dependant high
2 name Ludger Pri e Ruhr -Univ e www .r ub. d e 2. name 3. name 4. name
Network analysis and the TRAMO research questions
Definition
¾ Given the circles in this sheet represent the importance of your personal relations in X (name of MO): Whom of your colleagues would you put where, when the most important persons are in the centre and the not so important in the outer circles?
¾ Where would you put partners of X (MO) in (country of origin)?
S
cience
¾ Where would you put partners of X (MO) in (country of origin)?
¾ Where would you put the most important addressees and cooperation partners of X (MO)?
Interview ent of Social S partner MO partner in CA m , Departem e MO partner in CO O fi ld es ersität Bochu m e/sozomm Org.field partner Mutual interchange Pri e -Univ e .r ub. d e interchange unilateral/
Definition
S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Ludger Pri e Ruhr -Univ e www .r ub. d eDefinition
S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Pri e -Univ e .r ub. d eDefinition
S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Ludger Pri e Ruhr -Univ e www .r ub. d eFischer, Claude S. (1982): To Dwell Among Friends. Personal Networks in Town and City. Chicago/London: The University of Chicago Press, p. 36
Networks: data analysis
Definition
S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Pri e -Univ e .r ub. d eMichael Baur: visone- Analysis and Visualization of Social Networks. http://visone.info/documentation.php (Fakultät für Informatik Universität Karlsruhe (TH), Advanced Political Network Modeling, presentation at
Networks: data analysis
Definition
S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Ludger Pri e Ruhr -Univ e www .r ub. d eMichael Baur: visone- Analysis and Visualization of Social Networks. http://visone.info/documentation.php (Fakultät für Informatik Universität Karlsruhe (TH), Advanced Political Network Modeling, presentation at International Conference on Advanced Political Network Modeling, June 2007, Mannheim)
Networks: data analysis
Definition
S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Pri e -Univ e .r ub. d eMichael Baur: visone- Analysis and Visualization of Social Networks. http://visone.info/documentation.php (Fakultät für Informatik Universität Karlsruhe (TH), Advanced Political Network Modeling, presentation at
Definition
S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Ludger Pri e Ruhr -Univ e www .r ub. d eMichael Baur: visone- Analysis and Visualization of Social Networks. http://visone.info/documentation.php (Fakultät für Informatik Universität Karlsruhe (TH), Advanced Political Network Modeling, presentation at International Conference on Advanced Political Network Modeling, June 2007, Mannheim)