Towards Understanding the Evolution of the WWW Conference
Pavel Savov, Adam Jatowt, Radoslaw Nielek

TL;DR
This paper investigates the evolution of the WWW Conference by analyzing publication trends and topics over the years using a novel approach based on classification errors related to publication years.
Contribution
It introduces a new method that tracks classification errors to identify key years and topics in the conference's history.
Findings
Identified crucial years in the conference's evolution
Detected important research topics over time
Provided insights into the conference's development trajectory
Abstract
The World Wide Web conference is a well-established and mature venue with an already long history. Over the years it has been attracting papers reporting many important research achievements centered around the Web. In this work we aim at understanding the evolution of WWW conference series by detecting crucial years and important topics. We propose a simple yet novel approach based on tracking the classification errors of the conference papers according to their predicted publication years.
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Taxonomy
TopicsWeb Data Mining and Analysis · Semantic Web and Ontologies · Advanced Text Analysis Techniques
