Evidence map›Paper›PMID 39713094›Full record

ReviewApplied network science2024

Leading by the nodes: a survey of film industry network analysis and datasets.

Aresh Dadlani, Vi Vo, Ayushi Khemka, Sophie Talalay Harvey, Aigul Kantoro Kyzy, Pete Jones, Deb Verhoeven

Abstract readReview
In one paragraph

Review in Applied network science, 2024. 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

7 authors.

Aresh DadlaniDepartment of Mathematics and Computing, Mount Royal University, Calgary, Alberta Canada.
Vi VoFaculty of Arts, University of Alberta, Edmonton, Alberta Canada.
Ayushi KhemkaFaculty of Arts, University of Alberta, Edmonton, Alberta Canada.
Sophie Talalay HarveyFaculty of Arts, University of Alberta, Edmonton, Alberta Canada.
Aigul Kantoro KyzyFaculty of Arts, University of Alberta, Edmonton, Alberta Canada.
Pete JonesFaculty of Arts, University of Alberta, Edmonton, Alberta Canada.
Deb VerhoevenFaculty of Arts, University of Alberta, Edmonton, Alberta Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a comprehensive survey of network analysis research on the film industry, aiming to evaluate its emergence as a field of study and identify potential areas for further research. Many foundational network studies made use of the abundant data from the Internet Movie Database (IMDb) to test network methodologies. This survey focuses more specifically on examining research that employs network analysis to evaluate the film industry itself, revealing the social and business relationships involved in film production, distribution, and consumption. The paper adopts a classification approach based on node type and summarises the key contributions in relation to each. The review provides insights into the structure and interconnectedness of the field, highlighting clusters of debates and shedding light on the areas in need of further theoretical and methodological development. In addition, this survey contributes to understanding film industry network analysis and informs researchers interested in network methods within the film industry and related cultural sectors.

Indexed as

Collaboration networksFilm industryLiterature surveyNode classificationSocial network analysis

Identifiers

PMID39713094
PMCPMC11655611

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.