document: The web of topics : discovering the topology of topic evolution in a corpus In this paper we study how to discover the evolution of topics over time in a time-stamped document collection . Our approach is uniquely designed to capture the rich topology of topic evolution inherent in the corpus . Instead of characterizing the evolving topics at fixed time points , we conceptually define a topic as a quantized unit of evolutionary change in content and discover topics with the time of their appearance in the corpus . Discovered topics are then connected to form a topic evolution graph using a measure derived from the underlying document network . Our approach allows inhomogeneous distribution of topics over time and does not impose any topological restriction in topic evolution graphs . We evaluate our algorithm on the ACM corpus . The topic evolution graphs obtained from the ACM corpus provide an effective and concrete summary of the corpus with remarkably rich topology that are congruent to our background knowledge . In a finer resolution , the graphs reveal concrete information about the corpus that were previously unknown to us , suggesting the utility of our approach as a navigational tool for the corpus .
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