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The dynamics of personal networks With three substantive applications Miranda Lubbers & José Luis Molina

The dynamics of personal networks

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Miranda Lubbers & José Luis Molina. The dynamics of personal networks. With three substantive applications. The Spanish team. Miranda Lubbers (PI) , Autonomous University Barcelona Isidro Maya Jariego , University of Seville José Luis Molina , Autonomous University Barcelona - PowerPoint PPT Presentation

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Page 1: The dynamics of personal networks

The dynamics of personal networks

With three substantive applications

Miranda Lubbers & José Luis Molina

Page 2: The dynamics of personal networks

The Spanish team Miranda Lubbers (PI), Autonomous

University Barcelona Isidro Maya Jariego, University of Seville José Luis Molina, Autonomous University

Barcelona Ainhoa Federico de la Rúa, University of

Toulouse II – Le Mirail (and associated with the University of Málaga)

Page 3: The dynamics of personal networks

Our project We focus on the dynamics of personal

networks Sociocentric networks are valuable for

understanding the recurrent influence between a network and a behaviour of its members for which the organizational boundary is relevant (e.g., pupils’ peer relationships at school and their academic performance).

Our subproject is, however, interested in predicting individual outcomes that are not primarily produced within a single context, but for which all social circles in which a person moves need to be considered (e.g., social well-being, health, or adaptation of immigrants).

Page 4: The dynamics of personal networks

Personal networks Personal networks represent an individual's

social context, the intermediate level between the individual and society.

It is at this level that processes of socialization and social integration in society take place.

Page 5: The dynamics of personal networks

Past studies have limited our understanding of this social context:

(1) They tended to capture only a small part of the network (e.g., the 5-10 most intimate and supportive ties). Weak ties have their own virtues, as they are more

numerous, more heterogeneous, and less connected among themselves.

Page 6: The dynamics of personal networks

Past studies have limited our understanding of this social context:

(2) They often measured network composition but not structure The structure of relationships is assumed to affect the

flow of information through a network (mobilization of social support, social control, conformity of opinions), which can have consequences for individual outcomes

egoego

Page 7: The dynamics of personal networks

Past studies have limited our understanding of this social context:

(3) Many measured personal networks cross-sectionally. A longitudinal measurement helps us understand the

processes of socialization or social integration, and accelerating or disruptive effects of life events on such processes

Page 8: The dynamics of personal networks

Thus… If we want to understand the processes of

socialization and integration in society, we need: larger networks, network structure, longitudinal measurement

This type of data is expensive to collect, but the number of studies with a more elaborate measurement of personal networks is growing

Page 9: The dynamics of personal networks

But how to analyze such data? Typically, multilevel analysis is used to predict

persistence of ties over time or changing contents of ties…

… but it assumes that relationships among alters are not important for the relationships they have with ego

Ego

Alter

Page 10: The dynamics of personal networks

Design for this ECRP To use SIENA to model the “co-evolution” between…

Networks: The structure of relationships among alters (dichotomous)

“Behavior”: The strength (/persistence) of relationships between ego and alters (valued / dichotomous)

Outcomes at a higher (ego) level.

Network of alters

Tie strength ego

Page 11: The dynamics of personal networks

This would enable us to investigate… … for example,

whether changes in network structure affect changes in the supportiveness of ego-alter ties

whether alters with whom ego feels closer over time become more embedded in their networks

whether relationships with structurally embedded alters are easier to maintain

Page 12: The dynamics of personal networks

But we would need some changes in SIENA A Bayesian model that works with ML and

symmetric data (…)

Page 13: The dynamics of personal networks

Test this on three projects Two empirical projects proposed for

ECRP José Luis Miranda Isidro Ainhoa

One empirical project attached: Collaboration Claire Bidart, Ainhoa & Miranda on

the analysis of changing networks of youths in the Caen study (4 waves with 3-year intervals)

Personal networks of high school graduates, Alcalá / Sevilla

Personal networks of immigrants, Catalonia

Page 14: The dynamics of personal networks

The study

Illustration: Chris McCarty et al. (2007)

Page 15: The dynamics of personal networks

Research questions At the individual level:

How do the personal networks of immigrants change over time (post-migratory)?

How are these dynamics associated with the process of immigrant adaptation?

At the relationship level: What drives these changes?

RSIENA: e.g., Which characteristics of respondents, alters, and networks explain whether ties with Spanish alters become stronger over time?

Page 16: The dynamics of personal networks

Sample In 2004-’06 (t1): Interviews with 504 immigrants in

Catalonia (N = 301) and New York (N = 203) Funded by NSF; PI: Chris McCarty, University of Florida

In 2007-’08 (t2): Second interview with a selection of 77 of the immigrants from the first project who still lived in Catalonia Funded by ESF (previous ECRP); PI Spanish project: José Luis Molina

In 2012 (t3): Third interview with as many of the participants of the second wave as we can trace, complemented with persons from the first wave only Funded by the Ramón y Cajal grant of MICINN of Miranda Lubbers

Page 17: The dynamics of personal networks

Four groups of origin (in the Spanish project) Argentineans

Diverse motivations for migration; typically individual migration Very diverse occupations (reporter, psychologist, musician, architect, waiter…) Easily accepted by the native Spanish, relatively few experiences with racism

Dominicans Labour migration Secondary labour market (construction, …) More or less half of them report that relatives in origin depend on them economically

Moroccans Most numerous group with longest residence in Catalonia Chain migration, mostly labour migration (families) and family reunification The majority works in the secondary labour market (cleaning, clothing industry, farm labour…)

Senegalese / Gambians Most recent migration of the four groups, predominantly male; 42% already had histories of

migration Chain migration, mostly temporary labour migration (individual) The majority works in the secondary labour market (agriculture, construction, …) Relatives in origin depend on them economically

Page 18: The dynamics of personal networks

Procedure of data collection Mixed-methods design:

1. Quantitative part: Survey with personal network instrument Computer-assisted personal interviews with the software

Egonethttp://sourceforge.net/projects/egonet/

2. Qualitative part: Semi-structured interviews Audio-recorded

Page 19: The dynamics of personal networks

Two examples of changing networks

Illustration: Jürgen Lerner et al. (2008)

Page 20: The dynamics of personal networks

A young Moroccan woman t1, last year in high school High

School

Red: SpaniardsGreen: Moroccans in MoroccoBlue: Moroccans in SpainGray: The othersSIZE: Closeness (1-5, the larger the closer)

Page 21: The dynamics of personal networks

Red: SpaniardsGreen: Moroccans in MoroccoBlue: Moroccans in SpainGray: The othersSIZE: Closeness (1-5)

Husband and brothers/sisters

Friends and neighbors

His family

The rest of her family

A young Moroccan woman t2, trying to find a job

Page 22: The dynamics of personal networks

An example of “ethnic segregation”

“ In the past, I felt I belonged here. At school they always said “You are from here, you are Catalan”. But now… many people [Moroccans] who don´t know anything about Morocco and who only have a Moroccan name, they can´t find a job. “I will call you”. They make you feel Moroccan” “There are people who do not let you feel catalan. They have never said anything to me directly but you know they talk bad about Moroccans. And about the culture. And I am Moroccan. It doesn´t feel good, you know?“I don´t feel I belong here nor there”

Page 23: The dynamics of personal networks

Argentinean woman t1 Husba

nd

Best friends

Inlaws

Catalan class

People known via the inlaws

Family, childhood friends and people known via them

Red: SpaniardsGreen: Argentineans in ArgentinaBlue: Argentineans in SpainGray: The othersSIZE: Closeness (1-5)With margin: Stable

Page 24: The dynamics of personal networks

Argentinean woman t2

Inlaws

People known via the inlaws

Catalan class

Family

Neighbours in Argentina

Husband and friends

Childhood friends

People known via family

Red: SpaniardsGreen: Argentineans in ArgentinaBlue: Argentineans in SpainGray: The othersSIZE: Closeness (1-5)With margin: Stable

Page 25: The dynamics of personal networks

An example of “regression”

“I felt Argentinean and it changes bit by bit… now that I know a bit about the [Catalan] language, I feel a bit more that I belong here, but not completely so.”“It is difficult to go [to Argentina]. Every time I see how my mother is a bit older and it is more difficult to leave her again”.“I like the people there. If I had to go back, I would go easily. I would miss the commodities, the organization is better here, everything is cleaner, but at the sentimental level…. I miss the feeling, the tact, the contact, and here I have nothing”

Page 26: The dynamics of personal networks

Some conclusions from the first two waves

Illustration: Miranda Lubbers (2010)

Page 27: The dynamics of personal networks

Some conclusions: How do the networks change over time?

Although there was quite some turnover in the networks, we do not observe a tendency toward “interactive integration” in the host society… no increases in: the number of Spaniards the strength of ties with Spaniards the centrality of Spaniards

Also, the average strength of ties didn´t increase. But networks became more local over time (more co-

ethnics in Spain plus higher centrality, less co-ethnics in origin)

And the proportion of Spaniards was almost twice as high among the ties that were most recently formed (than among all ties), and these ties do not differ in emotional closeness (nor in stability) from the youngest ties with coethnics in Spain. It´s a slow process…

Page 28: The dynamics of personal networks

Some conclusions: How do the networks change over time?

Immigrants maintained many active relationships with people in the country of origin – and not only did they maintain ties, they also reactivated sleeping ties, formed new ties in origin… transnationalism

The overall trends in fact were not representative of any network: there was a large variety among individuals of trajectories of network change of which integration is only one.

Page 29: The dynamics of personal networks

Are the network dynamics associated with immigrant adaptation? We found that changes in network

composition, even when they were temporal fluctuations (e.g., due to recent travels to origin), covary with fluctuations in ethnic identifications - we cannot conclude this (yet) for sociocultural adaptation, because it differs too strongly between the four immigrant groups)

Page 30: The dynamics of personal networks

What drives these changes? New relationships were acquired in defined

contexts (work places, neighbourhoods, a language course which create meeting opportunities with groups depending on the context) and via others (transitivity)

… We have the data prepared for SIENA …

Page 31: The dynamics of personal networks

The third wave

In preparation

Ilustración: José Luis Molina

Page 32: The dynamics of personal networks

Questions for the third wave... To compare the dynamics at a short time interval

with dynamics at a larger interval We also want to collect new information (and omit

some old variables), among others… Include two new measures of psychological adaptation More data on what flows through the networks that makes

that networks facilitate or hinder adaptation (social support, social control)