@inproceedings{bernad_communities_2017, title = {Communities in biographischen {Netzwerken}}, url = {http://ceur-ws.org/Vol-2009/fmt-proceedings-2017-paper12.pdf}, abstract = {Biographical lexica are a rich data source for the Digital Humanities. For example, the connections between places can be studied based on the migrations of scholars. The work at hand resulted from the OpenGLAM.at Cultural Data Hackathon 2017 and describes the analysis of 151 biographies from the Austrian Biographical Dictionary 1815-1950. Communitiy detection algorithms were applied to find groups of places that are densely connected internally and sparsely connected between groups. The resulting communities were examined in detail using network visualization.}, booktitle = {Proceedings of the 10th {Forum} {Media} {Technology} and 3rd {All} {Around} {Audio} {Symposium}}, publisher = {CEUR-WS}, author = {Bernád, Ágoston Zénó and Kaiser, Maximilian and Mair, Sebastian M. and Rind, Alexander}, year = {2017}, note = {Projekt: KAVA-Time}, keywords = {2017, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Publikationstyp Schriftpublikation, heritage, humanities, information visualization, network, ⛔ No DOI found}, pages = {83--87}, }