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Record W3209223322 · doi:10.33423/jabe.v23i5.4562

History of Social Networks: From the Era of Bartering to the Collaborative Economy

2021· article· en· W3209223322 on OpenAlexvenueno aff
Christophe Assens

Bibliographic record

VenueJournal of Applied Business and Economics · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategy and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsBarterRealmIntermediarySharing economyFunction (biology)Social capitalThe InternetDimension (graph theory)BusinessEconomyEconomic systemComputer scienceSociologyEconomicsPolitical scienceSocial scienceMarketingMarket economyWorld Wide WebMathematics

Abstract

fetched live from OpenAlex

This article aims to provide a historical overview of the notion of a network and its effects in the realm of management. Originally deriving from the technical sphere with graph theory in mathematics, the concept of a network has progressively been extended to the social sphere where its ramifications have been the sharing of social capital. As technology has developed in terms of transportation and communication, social networks have gradually structured the economy more and more by increasing trust and thus reducing the uncertainty involved in trade. Today, these social networks have taken on a new dimension through social media, based in internet platforms that bring together billions of anonymous people in the collaborative economy. Despite all these developments over the centuries, networks still have the same universal function: they are sustainable structures for collaboration with intermediaries that guarantee trust.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0040.015
Scholarly communication0.0080.013
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.179
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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