Measuring the Impact of Topic Drift in Scholarly Networks

Tehmina Amjad, Ali Daud, Min Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)


With the increase in collaboration among researchers of various disciplines, changing the research topic or working on multiple topics is not an unusual behavior. Several comprehensive efforts have been made for predicting, quantifying, and studying the researcher's impact. The question, that how the change in the field of interest over time or working in more than one topics can influence the scientific impact, remains unanswered. In this research, we study the effect of topic drift on the scientific impact of an author. We apply Author Conference Topic (ACT) model to extract topic distribution of individual authors who are working on multiple topics to compare and analyze with authors who work on a single topic. We analyze the productivity of the authors on the basis of publication count, citation count and h-index. We find that authors who stick to one topic, produce a higher impact and gain more attention. To further strengthen our results we gather the h-index of top-ranked authors working on one topic and top-ranked authors working on multiple topics and examine whether there are similar trends in their progress. The results show an evidence of significant impact of topic drift on career choices of researchers.

Original languageEnglish
Title of host publicationThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
PublisherAssociation for Computing Machinery, Inc
Number of pages6
ISBN (Electronic)9781450356404
Publication statusPublished - 2018 Apr 23
Event27th International World Wide Web, WWW 2018 - Lyon, France
Duration: 2018 Apr 232018 Apr 27

Publication series

NameThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018


Conference27th International World Wide Web, WWW 2018

Bibliographical note

Publisher Copyright:
© 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software


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