Evidence map›Paper›PMID 41509679›Full record

ArticleSocial network analysis and mining2026

Applying a panel network formation model to limited partnership matching in the private capital market.

Yuanyuan Shang, Philip Leifeld

Abstract read
In one paragraph

Article in Social network analysis and mining, 2026. 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

2 authors.

Yuanyuan ShangPreqin Ltd., 10 Bressenden Pl, London, SW1E 5DH UK.ORCID https://orcid.org/0000-0002-8405-1352
Philip LeifeldDepartment of Social Statistics, University of Manchester, Humanities Bridgeford Street Building, Oxford Road, Manchester, M13 9PL UK.ORCID https://orcid.org/0000-0002-6834-5705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In private capital investment, limited partners (LPs) and general partners (GPs) frequently encounter the challenge of finding suitable counterparts amid limited information, a process often hindered by market inefficiencies. This article addresses this issue by exploring the micro-level mechanisms that shape private capital networks, employing temporal exponential random graph models. Our findings uncover activity and popularity effects, persistence mechanisms, and homophily in preferences concerning region, strategy, and industry. These factors jointly shape the dynamically evolving network structure across asset classes and the hybrid network with all asset classes, revealing a shared network formation process. This article offers practical insights into the matching problem within the private capital market.

Indexed as

Alternative assetsGeneral partnersLimited partnersNetwork formationPrivate capitalTemporal exponential random graph model (TERGM)

Identifiers

PMID41509679
PMCPMC12774956

What OpenQuestion holds

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LicenceCC BY
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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.