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Related Concept Videos

Circadian Rhythms and Gene Regulation02:19

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The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...
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Circadian rhythms are cyclic changes that are crucial in plasma drug concentrations. Various standard circadian parameters, including core body temperature, heart rate, and other cardiovascular factors, directly impact disease states and the therapeutic response to drug therapy.
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Causes of Social Behavior II: Cognitive Processes01:15

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Cognitive processes affect social behavior by guiding how individuals perceive, interpret, and respond to social stimuli. These mental processes enable individuals to assess others' behaviors, attribute causes to their actions, and form expectations based on past experiences.Causes of Behavior and Social JudgmentsIndividuals determine the causes of others' behaviors by distinguishing between personal traits and external circumstances. For example, if a friend frequently arrives late, an...
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The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.
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Related Experiment Video

Updated: Apr 4, 2026

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
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Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

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Circadian Rhythms in Socializing Propensity.

Cheng Zhang1, Chee Wei Phang1, Xiaohua Zeng2

  • 1Department of Information Management and Information Systems, Fudan University, Shanghai, China.

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Area of Science:

  • Social network analysis
  • Human behavior studies
  • Computational social science

Background:

  • Understanding social connection formation is key to human interaction.
  • Previous research has explored factors influencing socialization, but temporal patterns remain less understood.
  • Virtual worlds offer unique opportunities to study large-scale social dynamics.

Purpose of the Study:

  • To investigate the hourly variations in the propensity to socialize.
  • To identify specific times of day when individuals are most and least likely to form new social connections.
  • To determine if these temporal patterns are consistent across different days and user demographics.

Main Methods:

  • Longitudinal tracking of friend-adding activities within a large-scale virtual world.
  • Analysis of interaction data to identify patterns in social connection formation over time.
  • Statistical examination of temporal trends, controlling for individual and geographical factors.

Main Results:

  • Socializing propensity significantly varies by hour of the day.
  • Peak socialization activity occurs around 8 p.m. and 12 a.m.
  • Lowest socialization activity is observed around 8 a.m.
  • Observed patterns are consistent on weekdays and weekends and across diverse user characteristics.

Conclusions:

  • Daily temporal rhythms significantly influence the formation of new social connections.
  • Evening and late-night hours are prime times for virtual social interaction.
  • Understanding these temporal dynamics can inform the design and engagement strategies in online social platforms.