Role of activity in human dynamics
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TLDR
A systematic empirical exploration of the time between two consecutive ratings of movies (the interevent time) is presented, finding a monotonous relation between the activity of individuals and the power law exponent of the intereven time distribution.Abstract:
The human society is a very complex system; still, there are several non-trivial, general features. One type of them is the presence of power-law-distributed quantities in temporal statistics. In this letter, we focus on the origin of power laws in rating of movies. We present a systematic empirical exploration of the time between two consecutive ratings of movies (the interevent time). At an aggregate level, we find a monotonous relation between the activity of individuals and the power law exponent of the interevent time distribution. At an individual level, we observe a heavy-tailed distribution for each user, as well as a negative correlation between the activity and the width of the distribution. We support these findings by a similar data set from mobile phone text-message communication. Our results demonstrate a significant role of the activity of individuals on the society-level patterns of human behavior. We believe this is a common character in the interest-driven human dynamics, corresponding to (but different from) the universality classes of task-driven dynamics.read more
Citations
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疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A
TL;DR: PfPMP1）与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作�ly.
Journal ArticleDOI
Evidence for a bimodal distribution in human communication.
TL;DR: This work presents clear empirical evidence from Short Message correspondence that observed human actions are the result of the interplay of three basic ingredients: Poisson initiation of tasks and decision making for task execution in individual humans as well as interaction among individuals.
Journal ArticleDOI
Characterizing and Modeling the Dynamics of Activity and Popularity
TL;DR: An evolving model is proposed for social media networks, in which the evolution is driven only by two-step random walk, and it is found that cross links between users and items are more likely to be created by active users and to be acquired by popular items than the inactive users.
Journal ArticleDOI
Scaling laws of human interaction activity.
TL;DR: This research identifies a generalized version of Gibrat's law of social activity expressed as a scaling law between the fluctuations in the number of messages sent by members and their level of activity and attributes this scaling law to long-term correlation patterns in human activity.
Journal ArticleDOI
Circadian pattern and burstiness in mobile phone communication
TL;DR: In this paper, the authors investigated the role of human task execution-based mechanisms in the burstiness of human mobile phone communication events and found that the heavy tails in the inter-event time distributions remain robust with respect to this procedure.
References
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疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A
TL;DR: PfPMP1）与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作�ly.
Book
Micromotives and Macrobehavior
TL;DR: The Micromotives and Macrobehavior was originally published over twenty-five years ago, yet the stories it tells feel just as fresh today as discussed by the authors, and the subject of these stories-how small and seemingly meaningless decisions and actions by individuals often lead to significant unintended consequences for a large group-is more important than ever.
Journal ArticleDOI
Modeling bursts and heavy tails in human dynamics.
Alexei Vazquez,Alexei Vazquez,J. G. Oliveira,J. G. Oliveira,Zoltan Dezso,Kwang-Il Goh,Kwang-Il Goh,Imre Kondor,Albert-László Barabási,Albert-László Barabási +9 more
TL;DR: It is shown that the bursty nature of human behavior is a consequence of a decision based queuing process: when individuals execute tasks based on some perceived priority, the timing of the tasks will be heavy tailed, most tasks being rapidly executed, while a few experiencing very long waiting times.