Communication with Family and Friends across the Life Course

Dávid-Barrett, Tamás; Kertész, János; Rotkirch, Anna; Ghosh, Asim; Bhattacharya, Kunal; Monsivais, Daniel; Kaski, Kimmo

doi:10.1371/journal.pone.0165687

Cited by 66 publications

(45 citation statements)

References 48 publications

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“…Aside from this, there may also be differences between parent-child pairs that co-reside and those that do not. Further investigation into the location data as well as egocentric communication patterns in this group may shed light on this issue [28,29].…”

Section: Discussionmentioning

confidence: 99%

“…The poor accuracy among the parent-child pairs where the child is in the M group but less than 35 years of age may be due to the variations inherent in this group. The age group of the younger user (29)(30)(31)(32)(33)(34) year old) likely corresponds to the very early stages of forming a family, where the younger user may have young infants or toddlers, or no children at all. It is possible that the calling patterns between the younger users and their parents may change significantly after the younger users have children of their own.…”

Section: Discussionmentioning

confidence: 99%

“…It is entirely possible that the relationships as given by the age and gender difference also change with the age of the users: for example, spouses raising young kids may have different mobile communication patterns compared to older spouses [28,29]. We thus categorize the pairs by the age bracket of the younger user: <18, 18-28, 29-45, 46-55, 56-79 and ≥80.…”

Section: Methodology the Datasetmentioning

confidence: 99%

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Link-centric analysis of variation by demographics in mobile phone communication patterns

et al. 2020

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We present a link-centric approach to study variation in the mobile phone communication patterns of users. Unlike most previous research on call detail records that focused on the variation of phone usage across individual users, we examine how the calling and texting patterns obtained from call detail records vary among pairs of users and how these patterns are affected by the nature of relationships between users. To demonstrate this link-centric perspective, we extract factors that contribute to the variation in the mobile phone communication patterns and predict demographics-related quantities for pairs of users. The time of day and the channel of communication (calls or texts) are found to explain most of the variance among pairs that frequently call each other. Furthermore, we find that this variation can be used to predict the relationship between the pairs of users, as inferred from their age and gender, as well as the age of the younger user in a pair. By looking at the classifier performance across different age and gender groups, we gain insights into how communication patterns vary across different relationships.August 1, 2019 1/19 networks [23,24] have also been adopted. These studies have mainly relied on the egocentric perspective, working on the implicit assumption that an individual's traits determine his or her calling and texting patterns. Thus, when using an egocentric approach in predicting individual user information, all calls and texts made by the target individual are aggregated over all its neighbors, so the links in the target individual's egocentric network are not differentiated from each other. While the communication patterns have been shown to vary with age and gender at the individual level as discussed above, the communication patterns between two individuals have also been found to vary with the relationship between them [25,26]. However, while an egocentric perspective works well in studying variation at the individual level, it cannot, by design, provide much insight into variation among pairs. We hope to expand knowledge in this area by focusing on the links rather than the nodes in the mobile phone communication network, analyzing each link independently from others instead of aggregating them over the egocentric network. Such link-centric approach has not been explored much in relation to mobile phone data [27,28], especially in prediction tasks. In particular, only Herrera et al. [23] have used isolated link information as well as the demographic information of one user in the link to predict the age and gender of the other user. Still, as their aim was to predict individual user information, they did not touch on the connection between the communication patterns and the relationships between the pairs of users.It is important to note that while the age and gender can be categorically confirmed from the datasets, determining the relationships between any pair of users from the mobile phone data relies on inference. In particular, unless otherwise specified, we mean such in...

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodology the Datasetmentioning

confidence: 99%

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Link-centric analysis of variation by demographics in mobile phone communication patterns

et al. 2020

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“…Family ties are characterised by substantial flows of support and assistance, also in contemporary wealthy and urbanised societies (e.g., Madsen et al, ; Mulder & Kalmijn, ; Stewart‐Williams, ; White & Riedmann, ; Wrzus, Hanel, Wagner, & Neyer, ). European parents and their adult children help each other in many ways, including frequent provisions of emotional and practical support as well as financial assistance (Bordone, ; Coall & Hertwig, ; David‐Barrett et al, ; Michielin, Mulder, & Zorlu, ; Szydlik, ). Kin help flows both between and within family generations.…”

Section: Introductionmentioning

confidence: 99%

Migration patterns of parents, children and siblings: Evidence for patrilocality in contemporary Finland

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Bhattacharya

et al. 2018

Population Space and Place

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Family members are known to serve as geographical attractors in migration, yet evidence for sex‐biased family migration in developed societies is mixed. We investigate gender differences in migration of family members in Finland. Using the FinnFamily register data set (N = 60,000 index individuals and their close kin), we explore family coresidence and migration within the 19 administrative regions of Finland in 1970–2012. We study the propensity for regional migration by gender and age, the likelihood for children to reside in the same region as their parents and to reunite after migration to different regions, and whether siblings function as regional attractors. Finland experienced intense regional migration to the capital area during the study period. Individual migration propensity peaked at infancy and at 18–28 years. Throughout their lives, most Finns live in the same region as their family members: over 65% with parents, over 55% with full sibling(s), and over 50% with half sibling(s). Siblings are likely to migrate to the same region, and having more siblings strengthens this attraction. Results also indicate some degree of patrilocality. Daughters migrate earlier and with higher rates than sons, whereas sons are at any age more likely to live in the same region as their parents. The propensity for adult brothers to live in the same region is also higher than for other sibling pairs. Family members serve as important geographical attractors to each other through the life course in contemporary Finland, and this is more pronounced for males than for females.

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“…Hill and Kaplan, 1999). In the human life cycle, these domains are differently prioritised depending on various factors including the individual's life stage and socioeconomic status (Virpi, 2009;David--Barrett et al 2016) and require different kinds of support from available kin and peer social networks (Geary and Flinn, 2001;Geary et al, 2003;Hall, 2011;Rose and Rudolph, 2006).…”

Section: Introductionmentioning

confidence: 99%