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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.

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 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. Figure \ref{fig:dash_overview} shows as example the Overview tab of the NeurIPS conference. 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.

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.