Evidence map›Paper›PMID 30867537›Full record

ArticleScientific reports2019

Structural transition in social networks: The role of homophily.

Yohsuke Murase, Hang-Hyun Jo, János Török, János Kertész, Kimmo Kaski

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Trust based attachment.PloS one · 2023
    Article
  8. The formation of political discussion networks.Royal Society open science · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

5 authors.

Yohsuke MuraseRIKEN Center for Computational Science, Kobe, Hyogo, 650-0047, Japan. yohsuke.murase@gmail.com.ORCID 0000-0002-5872-420X
Hang-Hyun JoAsia Pacific Center for Theoretical Physics, Pohang, 37673, Republic of Korea.ORCID 0000-0002-4214-9204
János TörökDepartment of Theoretical Physics, Budapest University of Technology and Economics, Budapest, H-1111, Hungary.
János KertészDepartment of Computer Science, Aalto University, Espoo, FI-00076, Finland. KerteszJ@ceu.edu.
Kimmo KaskiDepartment of Computer Science, Aalto University, Espoo, FI-00076, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a model for the formation of social networks, which takes into account the homophily or the tendency of individuals to associate and bond with similar others, and the mechanisms of global and local attachment as well as tie reinforcement due to social interactions between people. We generalize the weighted social network model such that the nodes or individuals have F features and each feature can have q different values. Here the tendency for the tie formation between two individuals due to the overlap in their features represents homophily. We find a phase transition as a function of F or q, resulting in a phase diagram. For fixed q and as a function of F the system shows two phases separated at F

Indexed as

Models, PsychologicalSocial BehaviorSocial NetworkingAnimalsCommunity NetworksHumansInterpersonal RelationsModels, Theoretical

Identifiers

PMID30867537
PMCPMC6416335

What OpenQuestion holds

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Registered trials

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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.