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You are now using version 3.1

ABOUT

Scientific conferences play a crucial role in the field of Computer Science by promoting the cross-pollination of ideas and technologies, fostering new collaborations, shaping scientific communities, and connecting research efforts from academia and industry. However, current systems for analysing research data do not provide a good representation of conferences. Specifically, these solutions do not allow to track research trends, to compare conferences in similar fields, and to analyse the involvement of industrial sectors. In order to address these limitations, we developed the AIDA Dashboard, a tool for exploring and making sense of scientific conferences which integrates statistical analysis, semantic technologies, and visual analytics.

Relevant Paper

If you want to know more about this research initiative please refer to the following paper: Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature (published at ISWC 2022).


About AIDA Knowledge Graph

How to Use

The AIDA Dashboard allows the users to analyze different entities in Computer Science. In the current version only conferences are searchable (soon we will allow users to search conferences by topics, stay tuned).

A conference can be searched through its name or its acronym using the search bar in the middle of the home page. Then, the system will automatically suggest the closest matches. Clicking on one of the suggested conferences the system will redirect the users to the conference page

The conference page (e.g. Neurips - Neural Information Processing Systems) is organized in different sections:

  • Overview tab is the introductory page of a conference, where the user is first redirected. It provides general information about the conference performance and trends. This page is organized in two sections. The bar on the left gives information and metrics (e.g., the period of activity, the total number of publications and citations, the h5-index) about the underlying conference. It also provides general information about the average h-index of the organizations and authors who published in the conference as well as the average citations received by the published papers. In the lower part, it reports the focus areas and the rank of the conference in each of them (according to the average citations in the last 5 years). The section on the right provides several charts about the number of publications and citations over the years, the main authors and organizations in terms of publications (in the last 10 years), and the top fingerprint topics in terms of publications and citations (in the last 10 years).
  • Citation Analysis tab reports the evolution in time of several citation-based metrics such as the impact factor and the average citations for paper. It also shows the evolution of the rank and the percentile of the conference in the focus areas.
  • Organizations tab shows several analytics about the main institutions active in the conference. In this section the users can assess the main organizations according to their number of publications, citations, and average citation. Organizations can also be filtered according to their types (academia, industry, or all). The default interface used by the dashboard for reporting these data is a bar chart in which each item is associated with the total of the metric in a period (e.g., last five years). The user can also change this view (using the `time-based' button) to a line-chart showing the same data across the years, which allows users to easily analyze trends in time.
  • Countries tab allows the users to analyze the contribution of specific countries. The user can switch between the Chart view and the Map view. The first one shows the set of countries according to their number of publications, citations, and average citations. The second view arranges the information about the frequency of articles by country in a world map.
  • Topics tab allows the users to analyze the topic trends over time. Specifically, it shows two selections of topics: main topics and fingerprint topics.
  • Authors tab uses the same interface for displaying the main researchers associated with their number of publications, citations, and average citations. The researchers can also be sorted by their overall H-index and H5-index, in order to quickly identify high impact researchers.
  • Related Conferences tab allows the users to compare the underlying conference against all the others in the same fields according to their number of publications, citations, and average citations for paper. The user can contextualise the comparison to different fields clicking on other focus areas present in the contextualised tab menu.
  • Industry tab reports the number of publications and citations from academia, industry, and collaborative efforts as well as the industrial sectors analysis. The latter shows the percentage of produced publications and citations received by companies in different industrial sectors.

Metrics

TAB Citation Analysis

  • Left chart:

    • Blue bars $$average\_citation_y = \frac{CIT_y}{|paper_y|}$$ where y is a year in which the venue receipt publications, and CITy are the number of citations received by those papers in the year y

    • Black line $$impact\_factor_y = \frac{Citations_y}{Publications_{y-1} + {Publications_{y-2}}}$$. It’s important to note that Citationsy are only the citations received in the year y by the publications written in the years (y−1)&(y−2)

  • Right chart: This chart represent the ranking trend for the venue computed for every associated focus area using the average citation value. This means that rank(X)y = Position(X,focus_area)y which means that is the position of venue X among all the venues classified in the focus_area in the year y. This representation can be view in rank view (absolute rank) or in a percentile view, which say in which percentile the venue X was placed in the year y.

TAB Organization/Countries/Authors/Compare/Industry

Overview

  • All Citations: is the summary of all the citations received in the selected time frame (e.g. last 5 year).

  • AVERAGE Citations: $$average\_citations_{tf} = \frac{Citations_{tf}}{Publications_{tf}}$$ where tf is the selected time frame (e.g. last 5 years), Citationstf is the total number of citations received by the papers written in the selected tf, and Publicationstf is the total number of articles written in tf

Time based

  • All Citations: $$\sum{Citations_{y}}$$ where y is an year. This means that in Citations2021 we can have papers written in 2021 who cites article written in every year.

  • AVERAGE Citations: $$average\_citations_{y} = \frac{\sum{Citations_{y}}}{Publications_{y}}$$ Here we compute the average number of citations received by papers written in a year y. For example, the average citations in 2019 is computed as follows: We retrieve all the papers written in 2019. We count all the citations received by those papers in years ≥ 2019 and we divide the number of citations by the number of articles obtaining the average number of citations received by papers written in 2019 by an entity

TEAM

The AIDA Dashboard has been developed in collaboration between the Department of Mathematics and Computer Science (DMI) of the University of Cagliari, the Knowledge Media Institute (KMi) of the Open University, and Springer Nature.