Evidence map›Paper›PMID 36359717›Full record

ArticleEntropy (Basel, Switzerland)2022

Three-State Opinion Model on Complex Topologies.

Irene Ferri, Conrad Pérez-Vicente, Matteo Palassini, Albert Díaz-Guilera

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Irene FerriDepartament de Física de la Matéria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-1821-1389
Conrad Pérez-VicenteDepartament de Física de la Matéria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-9680-3072
Matteo PalassiniDepartament de Física de la Matéria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-1615-005X
Albert Díaz-GuileraDepartament de Física de la Matéria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-3114-0984

Funding

Ministry of Economy, Industry and Competitiveness PGC2018-094754-B-C22
6 · The paper itself

Abstract

We investigate opinion diffusion on complex networks and the interplay between the existence of neutral opinion states and non-trivial network structures. For this purpose, we apply a three-state opinion model based on magnetic-like interactions to modular complex networks, both synthetic and real networks extracted from Twitter. The model allows for tuning the contribution of neutral agents using a neutrality parameter. We also consider social agitation, encoded as a temperature, that accounts for random opinion changes that are beyond the agent neighborhood opinion state. Using this model, we study which topological features influence the formation of consensus, bipartidism, or fragmentation of opinions in three parties, and how the neutrality parameter and the temperature interplay with the network structure.

Indexed as

community structurecomplex networksmagnetic modelsopinion dynamicssociophysics

Identifiers

PMID36359717
PMCPMC9689946

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.