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Record W3124883378

Swedish Biotech Smes: The Veiled Values in Online Networks

2006· article· en· W3124883378 on OpenAlexaff
Leyland Pitt, Rian van der Merwe, Esmail Salehi‐Sangari, Balbir Barn, Pierre Berthon

Bibliographic record

VenueSSRN Electronic Journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHyperlinkThe InternetValue (mathematics)BusinessPoint (geometry)Key (lock)Social network analysisSocial mediaWorld Wide WebComputer scienceMathematicsWeb page
DOInot available

Abstract

fetched live from OpenAlex

This study considers the role of social networktheory in unveiling the hidden value in Internet networks in the Swedishbiotechnology industry. To value informal internet-based networks, socialnetwork analysis is used to identify key nodes in the network on the Internetfor small- to medium-sized enterprises (SMEs), using data from the Swedishbiotech industry. Data concerning the online networks of Swedish biotech SMEs (defined asenterprises with fewer than 100 employees) were gathered through: (1)identifying three different biotech SME company websites as the starting point;(2) recording all the hyperlinks referring to external websites; (3) visitingthose links back to the originating links; and (4) constructing a sociogram ofthis network. Prominence and structural hole analyses were used to determinethe most important networks and actors in the system. The findings show that networks can be constructed from the links betweenthe websites of actor firms. The findings also suggest the possibility of usingsocial network theory to identify the most prominent actors and to outline theentrepreneurial opportunities in whichthese identified actors can engage.(CBS)

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.273
Teacher spread0.263 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2006
Admission routes1
Has abstractyes

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