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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 e

(2)

Networks: basic aspects

Definition

Betweenness Centrality

S 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

(3)

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

(4)

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

(5)

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 e

Michael 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)

(6)

Networks: visualization techniques

Definition

S cience ent of Social S m , Departem e

Quelle: 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

(7)

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 focused

Cross 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

(8)

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 focused

Cross 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

(9)

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 focused

Cross 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

(10)

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 focused

Cross 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

(11)

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 focused

Cross 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

(12)

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 focused

Cross 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

(13)

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

(14)

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

(15)

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

(16)

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/

(17)

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 e

(18)

Definition

S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Pri e -Univ e .r ub. d e

(19)

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 e

Fischer, Claude S. (1982): To Dwell Among Friends. Personal Networks in Town and City. Chicago/London: The University of Chicago Press, p. 36

(20)

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 e

Michael 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

(21)

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 e

Michael 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)

(22)

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 e

Michael 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

(23)

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 e

Michael 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)

(24)

Definition

S cience ent of Social S m , Departem e es ersität Bochu m e/sozomm Pri e -Univ e .r ub. d e

References

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