Evidence map›Paper›PMID 24912755›Full record

ArticleScientific reports2014

Triadic motifs in the dependence networks of virtual societies.

Wen-Jie Xie, Ming-Xia Li, Zhi-Qiang Jiang, Wei-Xing Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

4 authors.

Wen-Jie Xie1] Departmenent of Mathematics, East China University of Science and Technology, Shanghai 200237, China [2] School of Business, East China University of Science and Technology, Shanghai 200237, China.
Ming-Xia Li1] Departmenent of Mathematics, East China University of Science and Technology, Shanghai 200237, China [2] School of Business, East China University of Science and Technology, Shanghai 200237, China.
Zhi-Qiang Jiang1] Departmenent of Mathematics, East China University of Science and Technology, Shanghai 200237, China [2] Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China.
Wei-Xing Zhou1] Departmenent of Mathematics, East China University of Science and Technology, Shanghai 200237, China [2] School of Business, East China University of Science and Technology, Shanghai 200237, China [3] Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In friendship networks, individuals have different numbers of friends, and the closeness or intimacy between an individual and her friends is heterogeneous. Using a statistical filtering method to identify relationships about who depends on whom, we construct dependence networks (which are directed) from weighted friendship networks of avatars in more than two hundred virtual societies of a massively multiplayer online role-playing game (MMORPG). We investigate the evolution of triadic motifs in dependence networks. Several metrics show that the virtual societies evolved through a transient stage in the first two to three weeks and reached a relatively stable stage. We find that the unidirectional loop motif (M9) is underrepresented and does not appear, open motifs are also underrepresented, while other close motifs are overrepresented. We also find that, for most motifs, the overall level difference of the three avatars in the same motif is significantly lower than average, whereas the sum of ranks is only slightly larger than average. Our findings show that avatars' social status plays an important role in the formation of triadic motifs.

Indexed as

FriendsInternetInterpersonal RelationsRole PlayingHumansModels, Statistical

Identifiers

PMID24912755
PMCPMC5381493

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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.