From Filled to Empty Time Intervals: Quantifying Online Behaviors with Digital Traces

Peng, Tai‐Quan; Zhou, Yixin; Zhu, Jonathan J. H.

doi:10.1080/19312458.2020.1812556

Cited by 13 publications

(8 citation statements)

References 55 publications

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“…It can be adapted in other network impact analysis such as the social relation impact on idea innovation [35]. Second, visualization and interactions of showing the post-hoc tests temporally could be used in other pairwise comparisons of impact evolvement [44]. The CareerLine (glyph + line chart) also provides new visual representations to show multivariate sequences with state transitions.…”

Section: Discussionmentioning

confidence: 99%

Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers

Wang¹,

Peng²,

Lu³

et al. 2021

Preprint

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How to achieve academic career success has been a long-standing research question in social science research. With the growing availability of large-scale well-documented academic profiles and career trajectories, scholarly interest in career success has been reinvigorated, which has emerged to be an active research domain called the Science of Science (i.e., SciSci). In this study, we adopt an innovative dynamic perspective to examine how individual and social factors will influence career success over time. We propose ACSeeker, an interactive visual analytics approach to explore the potential factors of success and how the influence of multiple factors changes at different stages of academic careers. We first applied a Multi-factor Impact Analysis framework to estimate the effect of different factors on academic career success over time. We then developed a visual analytics system to understand the dynamic effects interactively. A novel timeline is designed to reveal and compare the factor impacts based on the whole population. A customized career line showing the individual career development is provided to allow a detailed inspection. To validate the effectiveness and usability of ACSeeker, we report two case studies and interviews with a social scientist and general researchers.

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Section: Discussionmentioning

confidence: 99%

Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers

Wang¹,

Peng²,

Lu³

et al. 2021

Preprint

Self Cite

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“…Mean gap duration. This measures how long an individual typically refrains from activating the smartphone screen, on average (Peng et al, 2020;van Berkel et al, 2016). For each subject, this is computed by subtracting total screen time from the 168-h week, and dividing by the total number of sessions in the week.…”

Section: Number Of Sessionsmentioning

confidence: 99%

Selectively localized: Temporal and visual structure of smartphone screen activity across media environments

Muise

Pan

et al. 2022

Mobile Media & Communication

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This study demonstrates how localization and homogenization can co-occur in different aspects of smartphone usage. Smartphones afford individualization of media behavior: users can begin, end, or switch between countless tasks anytime, but this individualization is shaped by shared environments such that smartphone usage may be similar among those who share such environments but contain differences, or localization, across environments or regions. Yet for all users, smartphone screen interactions are bounded and guided by nearly identical smartphone interfaces, suggesting that smartphone usage may be similar or homogenized across all individuals regardless of environment. We study homogenization and localization by comparing the temporal, visual, and experiential composition of screen activity among individuals in three dissimilar media environments—the United States, China, and Myanmar—using one week of screenshot data captured passively every 5 s by the novel Screenomics framework. We find that overall usage levels are consistently dissimilar across media environments, while metrics that depend more on moment-level decisions and user-interface design do not vary significantly across media environments. These results suggest that quantitative research on homogenization and localization should analyze behavior driven by user interfaces and by contextually determined parameters, respectively.

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“…The development of information age changes people's behavior pattern online [8]. Individuals will undoubtedly adapt their behavioral patterns to evolving technologies [9].…”

Section: 1reconstructing Time For Following Contemporary Life Pacementioning

confidence: 99%

“…The development of information age changes people's behavior pattern online [8]. Individuals will undoubtedly adapt their behavioral patterns to evolving technologies [9]. David M. Levy said that with email, mobile phones, social media and other electronic devices, the pace of work has become faster and more stressful.…”

Section: 1reconstructing Time For Following Contemporary Life Pacementioning

confidence: 99%

People’s Tendency of Watching Films Has Already Been Influenced the Development of Information Age

Waiping¹

2021

Advances in Social Science, Education and Humanities Research

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Film-related videos has been invented and developed in a rapid speed after the development of information age. This paper examines how the development of the information age has affected the trend of movie-watching. Here, in order to understand the film-watching habits of the public, I obtained quantitative and qualitative data through questionnaire survey and in-depth interview. From this study, it can be concluded that the development of the information age, especially the increasing popularity of the Internet and mobile phones, has an impact on people's life pace and behavior pattern, such as the limit time for resting and the desire for more choices. This impact from the development of information age causes the trend of public movie-watching change and enables more people be willing to watch film related videos. This research has implications for the future of the film industry and the people behavior of using internet.

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From Filled to Empty Time Intervals: Quantifying Online Behaviors with Digital Traces

Cited by 13 publications

References 55 publications

Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers

Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers

Selectively localized: Temporal and visual structure of smartphone screen activity across media environments

People’s Tendency of Watching Films Has Already Been Influenced the Development of Information Age

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