Evidence map›Paper›PMID 30839819›Full record

ArticleApplied network science2018

Profiling the EU lobby organizations in Banking and Finance.

Borut Sluban, Mojca Mikac, Petra Kralj Novak, Stefano Battiston, Igor Mozetič

Abstract read
In one paragraph

Article in Applied network science, 2018. 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. 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

5 authors.

Borut Sluban *1Department of Banking and Finance, University of Zurich, Andreasstrasse 15, Zürich, Switzerland.
Mojca Mikac *2Department of Knowledge Technologies, Jožef Stefan Institute, Jamova 39, Ljubljana, Slovenia.
Petra Kralj Novak2Department of Knowledge Technologies, Jožef Stefan Institute, Jamova 39, Ljubljana, Slovenia.
Stefano Battiston1Department of Banking and Finance, University of Zurich, Andreasstrasse 15, Zürich, Switzerland.
Igor Mozetič2Department of Knowledge Technologies, Jožef Stefan Institute, Jamova 39, Ljubljana, Slovenia.ORCID 0000-0002-5466-0608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Creating a map of actors and their leanings is important for policy makers and stakeholders in the European Commission's 'Better Regulation Agenda'. We explore publicly available information about the European lobby organizations from the Transparency Register, and from the open public consultations in the area of Banking and Finance. We consider three complementary types of information about lobbying organizations: (i) their formal categorization in the Transparency Register, (ii) their responses to the public consultations, and (iii) their self-declared goals and activities. We consider responses to the consultations as the most relevant indicator of the actual leaning of an individual lobbyist. We partition and cluster the organizations according to their demonstrated interests and the similarities among their responses. Thus each lobby organization is assigned a profile which shows its prevailing interest in consultations' topics, similar organizations in interests and responses, and a prototypical question and answer. We combine methods from network analysis, clustering, and text mining to obtain these profiles. Due to the non-homogeneous consultations, we find that it is crucial to first construct a response network based on interests in consultations topics, and only then proceed with more detailed analysis of the actual answers to consultations. The results provide a first step in the understanding of how lobby organizations engage in the policy making process.

Indexed as

Banking and financeCommunity detectionCo-voting agreementLobby organizations

Identifiers

PMID30839819
PMCPMC6214332

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.