Evidence map›Paper›PMID 26353080›Full record

ArticlePloS one2015

Circadian Rhythms in Socializing Propensity.

Cheng Zhang, Chee Wei Phang, Xiaohua Zeng, Ximeng Wang, Yunjie Xu, Yun Huang, Noshir Contractor

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Cheng ZhangDepartment of Information Management and Information Systems, Fudan University, Shanghai, China.
Chee Wei PhangDepartment of Information Management and Information Systems, Fudan University, Shanghai, China.
Xiaohua ZengCollege of Business, City University of Hong Kong, Hong Kong SAR, China.
Ximeng WangDepartment of Information Management and Information Systems, Fudan University, Shanghai, China.
Yunjie XuDepartment of Information Management and Information Systems, Fudan University, Shanghai, China.
Yun HuangSchool of Communication, Northwestern University, Evanston, Illinois, United States of America.
Noshir ContractorSchool of Communication, Northwestern University, Evanston, Illinois, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using large-scale interaction data from a virtual world, we show that people's propensity to socialize (forming new social connections) varies by hour of the day. We arrive at our results by longitudinally tracking people's friend-adding activities in a virtual world. Specifically, we find that people are most likely to socialize during the evening, at approximately 8 p.m. and 12 a.m., and are least likely to do so in the morning, at approximately 8 a.m. Such patterns prevail on weekdays and weekends and are robust to variations in individual characteristics and geographical conditions.

Indexed as

Circadian RhythmInterpersonal RelationsVideo GamesFriendsGeographyHumansTime Factors

Identifiers

PMID26353080
PMCPMC4564240

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.