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Time is a network good.

Cristobal Young1, Julia L Melin1

  • 1Department of Sociology, Stanford University, 450 Serra Mall, Building 120, Room 160, Stanford, CA 94305, USA.

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Time is a network good, similar to technology, where its value increases with shared usage. Coordinated social time, like weekends, enhances well-being, while disruptions negatively impact society.

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Area of Science:

  • Social Sciences
  • Sociology
  • Psychology

Background:

  • Time's value is often perceived individually, but it shares characteristics with network goods.
  • Network goods, such as communication technologies, derive value from widespread adoption and shared usage.
  • Understanding time as a network good offers new insights into social coordination and well-being.

Purpose of the Study:

  • To explore the concept of time as a network good.
  • To review research on the societal importance of collective social time and temporal coordination.
  • To examine the role of the standard workweek and weekend in social coordination and well-being.

Main Methods:

  • Literature review of recent research on social time, temporal coordination, and network goods.
  • Comparative analysis of time with other network goods (e.g., personal computers, social media).
  • Examination of the impact of temporal coordination (or lack thereof) on individuals and communities.

Main Results:

  • Time functions as a network good, with its value contingent on shared availability and usage.
  • Collective social time, facilitated by temporal coordination (e.g., the weekend), significantly enhances community ties and subjective well-being.
  • Disruptions in temporal coordination, such as within the workweek, can detrimentally affect individuals, families, and communities.

Conclusions:

  • Recognizing time's network properties is crucial for understanding its societal implications.
  • Temporal coordination, particularly through institutions like the workweek and weekend, is vital for social cohesion and emotional health.
  • Future research should further investigate the network dynamics of time and its impact on societal structures.