STSM report – Clustering citation networks with evolutionary algorithms by Frank Havemann

STSM report – Clustering citation networks with evolutionary algorithms by Frank Havemann

Istanbul
Monday, 29. June – Friday, 3. July 2015

The one week STSM visit at Professor Ali Salah’s group (Cognitive Science Program) at the Department of Computer Engineering at Boğaziçi university in Istanbul gave me very interesting new insights not only for my current research on reconstructing research topics in networks of papers.

Foci of discussion were:
* How can evolutionary algorithms be optimised?
* How can different views on a research field result in different topic
structures?
* How can different topic structures of a field be obtained by
clustering algorithms?

In addition to meeting with researchers from Cognitive Science Program I have attended the 5th International Conference on Scientometrics and Informetrics, Istanbul, 29.6.2015 – 3.7.2015 (organised by Professor Ali Salah and colleagues), where I presented a paper at the special session titled “Same data – different results? The performative nature of algorithms for topic detection in science” (organised by Wolfgang Glänzel, Jochen Gläser and Andrea Scharnhorst).

Frank Havemann