WWW Conference Analytics

The data in the Microsoft Academic Graph makes it possible to gain analytic insights about any of the entities in our knowledge graph: fields of study (opens in new tab), authors (opens in new tab), author affiliations (opens in new tab), journals (opens in new tab), and conferences (opens in new tab). In this series, we present analytic insights about current conferences, that we hope will help you prepare for attending the event.

All the insights below are derived from the Microsoft Academic Graph (opens in new tab), and visualized in PowerBI. You can generate your own similar insights and more by accessing the Microsoft Academic Graph through the Academic Knowledge API (opens in new tab), or through Azure Data Lake Store (opens in new tab) (please contact Academic API (opens in new tab) for the latter option).

If you would like to learn how we generated the insights below, please see our GitHub repository with source code (opens in new tab).

In this post, we present analytic insights about the conference WWW – The Web Conference, taking place in Lyon, France between April 23-27, 2018. We derive insights since the first year of the conference to the latest available year.

Paper Output

The chart below shows the evolution of number of conference papers for each conference year.

 

 

In the following chart, the black bars represent average numbers of references per conference paper for each year. The green bars show the average numbers of citations received by conference papers written in a given year.

Memory of References

How old are papers cited by WWW papers? Follow a given year’s column to see the age of papers cited in conference papers published that year. For example, in 2017, WWW papers collectively cited 1041 papers published in 2016, 1213 papers published in 2015, and so on.

 

If some years appear to cite publications from the future, it is most likely because they cited books. When a new edition of the book appeared, it replaced the previous one in the Microsoft Academic Graph, and the citation appears to be from the future. In this representation, we remove all instances of papers citing papers more than two years in the future to generate a cleaner view.

Outgoing references

What venues do WWW papers cite?

The chart shows the top 20 venues cited by WWW papers over time. WWW, KDD, and SIGIR emerge as the top 3.

The table below shows the number of references given by WWW papers to each of the top 20 venues, year by year.

 

Incoming citations

What venues cite WWW papers?

The flow diagram below shows the top 20 venues of all time that cite WWW papers. Again, WWW is has the most incoming citations, followed by CIKM and SIGIR. See the table for year-by-year details of citations coming from each of the top 20 venues.

Yearly number of papers citing WWW papers are presented in the table below.

Most cited authors

Who are the most cited authors of all time in WWW papers? The chart below ranks the most cited authors by publication count or citation count. Authors do not have to have published in WWW to appear on this chart.

Top institutions

The bubble chart visualizes the top institutions at WWW by citation count. The size of the bubble is proportional to the total number of publications from that institution at WWW.

You can also explore the top institutions at WWW in more detail. Open the interactive Power BI Visual by clicking on the table below.

• Click on a column to rank the top institutions by publication or citation count.
• Click the link symbol to explore that institution’s page on Microsoft Academic (opens in new tab).

 

Top authors

The next three charts show author rankings according to different criteria.

The bubble chart displays WWW authors ranked by citation count, with bubble size being relative to publication count.

Click the following table open interactive Power BI Visual. The interactive list ranks authors by publication or citation count. Follow the links to each author’s page on Microsoft Academic (opens in new tab).

The bubble chart below visualizes author rank, which is calculated by Microsoft Academic using a formula that is less susceptible to citation counts than similar measures. The X axis shows author rank. The higher an author’s rank, the closer they are to the right side. The Y axis normalizes the rank by publication count and enables us to identify impactful authors who might not have had a very large number of publications. The closer an author is to the top, the higher their normalized rank. Of course, the area of the chart that represents the highest rank is the top right corner.

(opens in new tab)

WWW Top Authors by Static RankWe hope you have enjoyed the analytic insights into this conference made possible by the Microsoft Academic Graph. Please visit our Microsoft Academic Analyst page to learn how you can use our knowledge graph to generate your own custom analytics about an institution, a topic, an author, a publication venue, and any combination of these.

As always, we would like to hear from you either through the feedback link at the bottom right of the website (opens in new tab), or on Twitter (opens in new tab). You can also find our project home page with this blog on the Microsoft Research site at aka.ms/msracad (opens in new tab).

Opens in a new tab