Evidence map›Paper›PMID 42430354›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Multiplexing in networks and diffusion.

Arun G Chandrasekhar, Vasu Chaudhary, Benjamin Golub, Matthew O Jackson

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Multiplexing in networks and diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

4 authors.

Arun G Chandrasekhar *Department of Economics, Stanford University, Stanford, CA 94305.
Vasu Chaudhary *Department of Economics, Northwestern University, Evanston, IL 60208.
Benjamin Golub *Department of Economics, Northwestern University, Evanston, IL 60208.
Matthew O Jackson *Department of Economics, Stanford University, Stanford, CA 94305.ORCID 0000-0001-9846-4249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study multiplexing-the extent to which people have multiple, distinct types of relationships with the same others. We document empirical multiplexing patterns in Indian village data. We show that relationships such as socializing, advising, helping, and lending are correlated but distinct, while commonly used proxies for networks based on ethnicity and geography are nearly uncorrelated with actual relationships. We also show that these layers and their overlap affect information diffusion in a field experiment. On the theoretical side, we show that increased overlap in people's different types of relationships impedes the spread of simple contagions-such as diseases or basic information that spread through a single interaction. In contrast, such higher levels of multiplexing enhance the spread of a complex contagion (e.g., a behavior or belief that requires multiple interactions for transmission) when infection rates are low, but impede complex contagion if infection rates are high. Finally, we identify empirical differences in multiplexing by gender and connectedness.

Indexed as

Social NetworkingHumansIndiaInterpersonal Relationscomplex contagioncontagiondiffusionmultiplexnetworks

Identifiers

PMID42430354
PMCPMC13367815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.