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Streams of interactions: Social connectedness in daily life.

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Title: Streams of interactions: Social connectedness in daily life.
Authors: Roth, Adam R. (AUTHOR), Peng, Siyun (AUTHOR)
Source: Social Networks. Jul2024, Vol. 78, p203-211. 9p.
Subjects: Social belonging, Everyday life, Social networks, Diary (Literary form), Social comparison, Social interaction, Time management, Social context
Abstract: This study contributes to the social connectedness literature by exploring the range of social interactions that people experience on a daily basis using time diary data. First, we investigate the different types of people whom individuals encounter in everyday life (i.e., family, friends, co-workers, acquaintances, others). Quantifying the degree of this social exposure provides insight into potential sources of support, information, comparison, and control. It further allows us to capture certain types of social connections that are commonly missed in traditional social network questionnaires. Second, we examine how social context fosters interactions between different types of people. Upon analyzing data from the American Time Use Survey, we find that a majority of respondents (69%) engaged in at least one interaction with a non-household member in a 24-hour period. We also found that interactions with different types of people varied according to social context. Interactions with friends, acquaintances, and "others" were significantly more likely to occur in public contexts rather than private or professional contexts. Collectively, our findings highlight the prevalence of social exposure among the American population as well as the important role of social context in making these interactions possible. • Uses time diary data to assess social connectedness in everyday life. • Quantifies number of social interactions people experience in day. • Examines how interactions with different types of people are contextually patterned. [ABSTRACT FROM AUTHOR]
Copyright of Social Networks is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Regional Business News
FullText Text:
  Availability: 0
Header DbId: bwh
DbLabel: Regional Business News
An: 177604759
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Streams of interactions: Social connectedness in daily life.
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  Data: <searchLink fieldCode="AR" term="%22Roth%2C+Adam+R%2E%22">Roth, Adam R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Peng%2C+Siyun%22">Peng, Siyun</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Social+Networks%22">Social Networks</searchLink>. Jul2024, Vol. 78, p203-211. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Social+belonging%22">Social belonging</searchLink><br /><searchLink fieldCode="DE" term="%22Everyday+life%22">Everyday life</searchLink><br /><searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Diary+%28Literary+form%29%22">Diary (Literary form)</searchLink><br /><searchLink fieldCode="DE" term="%22Social+comparison%22">Social comparison</searchLink><br /><searchLink fieldCode="DE" term="%22Social+interaction%22">Social interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Time+management%22">Time management</searchLink><br /><searchLink fieldCode="DE" term="%22Social+context%22">Social context</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study contributes to the social connectedness literature by exploring the range of social interactions that people experience on a daily basis using time diary data. First, we investigate the different types of people whom individuals encounter in everyday life (i.e., family, friends, co-workers, acquaintances, others). Quantifying the degree of this social exposure provides insight into potential sources of support, information, comparison, and control. It further allows us to capture certain types of social connections that are commonly missed in traditional social network questionnaires. Second, we examine how social context fosters interactions between different types of people. Upon analyzing data from the American Time Use Survey, we find that a majority of respondents (69%) engaged in at least one interaction with a non-household member in a 24-hour period. We also found that interactions with different types of people varied according to social context. Interactions with friends, acquaintances, and "others" were significantly more likely to occur in public contexts rather than private or professional contexts. Collectively, our findings highlight the prevalence of social exposure among the American population as well as the important role of social context in making these interactions possible. • Uses time diary data to assess social connectedness in everyday life. • Quantifies number of social interactions people experience in day. • Examines how interactions with different types of people are contextually patterned. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Social Networks is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bwh&AN=177604759
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.socnet.2024.03.001
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 9
        StartPage: 203
    Subjects:
      – SubjectFull: Social belonging
        Type: general
      – SubjectFull: Everyday life
        Type: general
      – SubjectFull: Social networks
        Type: general
      – SubjectFull: Diary (Literary form)
        Type: general
      – SubjectFull: Social comparison
        Type: general
      – SubjectFull: Social interaction
        Type: general
      – SubjectFull: Time management
        Type: general
      – SubjectFull: Social context
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      – TitleFull: Streams of interactions: Social connectedness in daily life.
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            NameFull: Roth, Adam R.
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            NameFull: Peng, Siyun
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            – D: 01
              M: 07
              Text: Jul2024
              Type: published
              Y: 2024
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              Value: 78
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            – TitleFull: Social Networks
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