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  1. Article: Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices.

    Elmer, Timon

    EPJ data science

    2023  Volume 12, Issue 1, Page(s) 58

    Abstract: Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity - and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (CSS) grows up, ...

    Abstract Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity - and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (CSS) grows up, it must strike a balance between its own practices and those of neighboring disciplines to achieve scientific rigor and refine its identity. However, there are certain areas within CSS that are reluctant to adopt rigorous scientific practices from other fields, which can be observed through an overreliance on passively collected data (e.g., through digital traces, wearables) without questioning the validity of such data. This paper argues that CSS should embrace the potential of combining both passive and active measurement practices to capitalize on the strengths of each approach, including objectivity and psychological quality. Additionally, the paper suggests that CSS would benefit from integrating practices and knowledge from other established disciplines, such as measurement validation, theoretical embedding, and open science practices. Based on this argument, the paper provides ten recommendations for CSS to mature as an interdisciplinary field of research.
    Language English
    Publishing date 2023-12-12
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2705691-0
    ISSN 2193-1127
    ISSN 2193-1127
    DOI 10.1140/epjds/s13688-023-00434-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Computational social science is growing up

    Timon Elmer

    EPJ Data Science, Vol 12, Iss 1, Pp 1-

    why puberty consists of embracing measurement validation, theory development, and open science practices

    2023  Volume 19

    Abstract: Abstract Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity – and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (CSS) ... ...

    Abstract Abstract Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity – and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (CSS) grows up, it must strike a balance between its own practices and those of neighboring disciplines to achieve scientific rigor and refine its identity. However, there are certain areas within CSS that are reluctant to adopt rigorous scientific practices from other fields, which can be observed through an overreliance on passively collected data (e.g., through digital traces, wearables) without questioning the validity of such data. This paper argues that CSS should embrace the potential of combining both passive and active measurement practices to capitalize on the strengths of each approach, including objectivity and psychological quality. Additionally, the paper suggests that CSS would benefit from integrating practices and knowledge from other established disciplines, such as measurement validation, theoretical embedding, and open science practices. Based on this argument, the paper provides ten recommendations for CSS to mature as an interdisciplinary field of research.
    Keywords Computational social science ; Passive-measurement ; Digital trace data ; Validity ; Open science practices ; Meta science ; Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 028
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: In Which Direction Does Happiness Predict Subsequent Social Interactions? A Commentary on Quoidbach et al. (2019).

    Elmer, Timon

    Psychological science

    2021  Volume 32, Issue 6, Page(s) 955–959

    MeSH term(s) Happiness ; Humans ; Interpersonal Relations ; Personal Satisfaction ; Social Interaction
    Language English
    Publishing date 2021-05-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 2022256-7
    ISSN 1467-9280 ; 0956-7976
    ISSN (online) 1467-9280
    ISSN 0956-7976
    DOI 10.1177/0956797620956981
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Modeling social interaction dynamics measured with smartphone sensors: An ambulatory assessment study on social interactions and loneliness.

    Elmer, Timon / Lodder, Gerine

    Journal of social and personal relationships

    2022  Volume 40, Issue 2, Page(s) 654–669

    Abstract: More and more data are being collected using combined active (e.g., surveys) and passive (e.g., smartphone sensors) ambulatory assessment methods. Fine-grained temporal data, such as smartphone sensor data, allow gaining new insights into the dynamics of ...

    Abstract More and more data are being collected using combined active (e.g., surveys) and passive (e.g., smartphone sensors) ambulatory assessment methods. Fine-grained temporal data, such as smartphone sensor data, allow gaining new insights into the dynamics of social interactions in day-to-day life and how these are associated with psychosocial phenomena - such as loneliness. So far, however, smartphone sensor data have often been aggregated over time, thus, not doing justice to the fine-grained temporality of these data. In this article, we demonstrate how time-stamped sensor data of social interactions can be modeled with multistate survival models. We examine how loneliness is associated with (a) the time between social interaction (i.e., interaction rate) and (b) the duration of social interactions in a student population (N
    Language English
    Publishing date 2022-08-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2023968-3
    ISSN 1460-3608 ; 0265-4075
    ISSN (online) 1460-3608
    ISSN 0265-4075
    DOI 10.1177/02654075221122069
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Subjective long-term emotional and social effects of recreational MDMA use: the role of setting and intentions.

    Elmer, Timon / Vannoy, Tanya K / Studerus, Erich / Lyubomirsky, Sonja

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 3434

    Abstract: MDMA is a recreational drug commonly used to enhance euphoria, but it is also used in non-party settings with self-insight or social connection intentions. Yet, little is known about whether distinct consumer groups are formed based on consumption ... ...

    Abstract MDMA is a recreational drug commonly used to enhance euphoria, but it is also used in non-party settings with self-insight or social connection intentions. Yet, little is known about whether distinct consumer groups are formed based on consumption setting and intention. We aimed to characterize different types of recreational MDMA users based on consumption setting and intentions, and to examine their differences in perceptions of long-term social-emotional effects of MDMA use. We analyzed self-reports of 766 individuals (ages 18-61, mostly from Western countries), reporting on their MDMA consumption habits and perceived effects. We used a K-medoids clustering algorithm to identify distinct types of consumption settings and intentions. We identified three setting types - party settings with friends (N = 388), private home settings (N = 132), mixed settings (N = 246) - and three intention types - euphoria and energy (N = 302), self-insight (N = 219), mixed intentions (N = 245). Members of the self-insight and mixed intentions clusters reported considerably more long-term socio-emotional benefits than members of the euphoria and energy cluster. No differences were observed between the setting clusters. In this particular sample, more long-term benefits than harms were reported. Our findings suggest that the long-term social-emotional benefits of MDMA are associated with whether users seek self-insight or have mixed intentions.
    MeSH term(s) Humans ; N-Methyl-3,4-methylenedioxyamphetamine/adverse effects ; Intention ; Emotions ; Illicit Drugs/adverse effects ; Euphoria
    Chemical Substances N-Methyl-3,4-methylenedioxyamphetamine (KE1SEN21RM) ; Illicit Drugs
    Language English
    Publishing date 2024-02-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-51355-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Studying Daily Social Interaction Quantity and Quality in Relation to Depression Change: A Multi-Phase Experience Sampling Study.

    Elmer, Timon / Ram, Nilam / Gloster, Andrew T / Bringmann, Laura F

    Personality & social psychology bulletin

    2023  , Page(s) 1461672231211469

    Abstract: Day-to-day social life and mental health are intertwined. Yet, no study to date has assessed how the quantity and quality of social interactions in daily life are associated ... ...

    Abstract Day-to-day social life and mental health are intertwined. Yet, no study to date has assessed how the quantity and quality of social interactions in daily life are associated with
    Language English
    Publishing date 2023-12-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2047603-6
    ISSN 1552-7433 ; 0146-1672
    ISSN (online) 1552-7433
    ISSN 0146-1672
    DOI 10.1177/01461672231211469
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Considering the 'With Whom': Differences Between Event- and Signal-Contingent ESM Data of Person-Specific Social Interactions.

    Stadel, Marie / van Duijn, Marijtje A J / Wright, Aidan G C / Bringmann, Laura F / Elmer, Timon

    Multivariate behavioral research

    2024  , Page(s) 1–18

    Abstract: Experience sampling studies often aim to capture social interactions. A central methodological question in such studies is whether to use event- or signal-contingent sampling. The little existing research on this issue has not taken into account that ... ...

    Abstract Experience sampling studies often aim to capture social interactions. A central methodological question in such studies is whether to use event- or signal-contingent sampling. The little existing research on this issue has not taken into account that social interactions occur with unique interaction partners (e.g., Anna or Tom). We analyze one week of social interaction data of 286 students from the University of Pittsburgh (60.8% male, mean age 19.2 years), taking into account the unique interaction partners of each student. Specifically, we investigate the differences between event- and signal contingent sampling in (1) the total number of unique interaction partners captured, as well as (2) the kinds of relationships, and (3) the quality of social interactions with these captured interaction partners. Apart from a larger quantity of interactions and unique interaction partners in the event-contingent sampling design, our analyses indicate subtle differences between the two designs when aiming to assess social interactions with more distant interaction partners, such as coworkers or strangers. Most importantly, in our analyses, specific interaction partners and social roles explained a considerable amount of variance in the quality of social interactions (up to 20.5%), suggesting that future research would benefit greatly from considering "with whom" individuals interact.
    Language English
    Publishing date 2024-04-09
    Publishing country United States
    Document type Journal Article
    ISSN 1532-7906
    ISSN (online) 1532-7906
    DOI 10.1080/00273171.2024.2335405
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Thesis ; Online: The intertwined dynamics of social networks and mental health

    Elmer, Timon

    2019  

    Abstract: Most humans are born with a fundamental motivation to socialize with others. A lack of meaningful social ties, therefore, can be detrimental for an individual’s mental health. At the same time, an individual’s mental health can affect how and which ... ...

    Abstract Most humans are born with a fundamental motivation to socialize with others. A lack of meaningful social ties, therefore, can be detrimental for an individual’s mental health. At the same time, an individual’s mental health can affect how and which social ties are created and maintained. Thus, the association between social networks (i.e., the collection of social ties) and mental health is bidirectional. In the worst case, this bidirectionality can turn into a vicious cycle, in which (the lack of) social ties and (poor) mental health affect each other in reinforcing feedback loops. This thesis presents four studies that aim to disentangle the bidirectional association between social networks and mental health by investigating social mechanisms on the level of friendship and social interaction ties. This disentanglement is not trivial, because, so far, theoretical and empirical endeavors have mostly been concerned with one direction of the vicious cycle only or have neglected the dynamic nature of these constructs. In order to overcome these challenges, this thesis introduces a new theoretical model and, throughout its four empirical studies, applies novel methodologies to acquire a better understanding of the bidirectional and dynamic nature of social networks and mental health. In the first study, we investigate how the mental-health-related mechanisms of perceived social integration, social influence, and social selection operate on the friendship networks of a graduate housing community. We show that individuals’ mental health strongly affects the formation of friendship ties (social selection), while the alternative directionality (perceived social integration and social influence) has no significant effect. Based on these findings, a reasonable next step is to understand in more detail how mental health affects the smallest building blocks of social life: social interactions. However, face-to-face social interactions are difficult to describe and measure, and many technological solutions for collecting ...
    Keywords info:eu-repo/classification/ddc/150 ; info:eu-repo/classification/ddc/300 ; Psychology ; Social sciences
    Subject code 300
    Language English
    Publisher ETH Zurich
    Publishing country ch
    Document type Thesis ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Depressive symptoms are associated with social isolation in face-to-face interaction networks.

    Elmer, Timon / Stadtfeld, Christoph

    Scientific reports

    2020  Volume 10, Issue 1, Page(s) 1444

    Abstract: Individuals with depressive symptoms are more likely to be isolated in their social networks, which can further increase their symptoms. Although social interactions are an important aspect of individuals' social lives, little is known about how ... ...

    Abstract Individuals with depressive symptoms are more likely to be isolated in their social networks, which can further increase their symptoms. Although social interactions are an important aspect of individuals' social lives, little is known about how depressive symptoms affect behavioral patterns in social interaction networks. This article analyzes the effect of depressive symptoms on social interactions in two empirical settings (N
    MeSH term(s) Computer Simulation ; Depression/epidemiology ; Female ; Humans ; Interpersonal Relations ; Male ; Radio Frequency Identification Device ; Social Isolation/psychology ; Switzerland/epidemiology ; Young Adult
    Language English
    Publishing date 2020-01-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-020-58297-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.

    Elmer, Timon / van Duijn, Marijtje A J / Ram, Nilam / Bringmann, Laura F

    Psychological methods

    2023  

    Abstract: The depth of information collected in participants' daily lives with active (e.g., experience sampling surveys) and passive (e.g., smartphone sensors) ambulatory measurement methods is immense. When measuring participants' behaviors in daily life, the ... ...

    Abstract The depth of information collected in participants' daily lives with active (e.g., experience sampling surveys) and passive (e.g., smartphone sensors) ambulatory measurement methods is immense. When measuring participants' behaviors in daily life, the timing of particular events-such as social interactions-is often recorded. These data facilitate the investigation of new types of research questions about the timing of those events, including whether individuals' affective state is associated with the rate of social interactions (binary event occurrence) and what types of social interactions are likely to occur (multicategory event occurrences, e.g., interactions with friends or family). Although survival analysis methods have been used to analyze time-to-event data in longitudinal settings for several decades, these methods have not yet been incorporated into ambulatory assessment research. This article illustrates how multilevel and multistate survival analysis methods can be used to model the social interaction dynamics captured in intensive longitudinal data, specifically
    Language English
    Publishing date 2023-09-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2103345-6
    ISSN 1939-1463 ; 1082-989X
    ISSN (online) 1939-1463
    ISSN 1082-989X
    DOI 10.1037/met0000598
    Database MEDical Literature Analysis and Retrieval System OnLINE

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