%0 Journal Article %1 yan2012topics %A Yan, Erjia %A Ding, Ying %A Milojevic, Stasa %A Sugimoto, Cassidy R. %D 2012 %J Journal of Informetrics %K Ko-Autoren entwicklung netzwerke %N 1 %P 140 - 153 %R 10.1016/j.joi.2011.10.001 %T Topics in dynamic research communities: An exploratory study for the field of information retrieval %U http://www.sciencedirect.com/science/article/pii/S1751157711000976 %V 6 %X Research topics and research communities are not disconnected from each other: communities and topics are interwoven and co-evolving. Yet, scientometric evaluations of topics and communities have been conducted independently and synchronically, with researchers often relying on homogeneous unit of analysis, such as authors, journals, institutions, or topics. Therefore, new methods are warranted that examine the dynamic relationship between topics and communities. This paper examines how research topics are mixed and matched in evolving research communities by using a hybrid approach which integrates both topic identification and community detection techniques. Using a data set on information retrieval (IR) publications, two layers of enriched information are constructed and contrasted: one is the communities detected through the topology of coauthorship network and the other is the topics of the communities detected through the topic model. We find evidence to support the assumption that IR communities and topics are interwoven and co-evolving, and topics can be used to understand the dynamics of community structures. We recommend the use of the hybrid approach to study the dynamic interactions of topics and communities.

@article{yan2012topics, abstract = {Research topics and research communities are not disconnected from each other: communities and topics are interwoven and co-evolving. Yet, scientometric evaluations of topics and communities have been conducted independently and synchronically, with researchers often relying on homogeneous unit of analysis, such as authors, journals, institutions, or topics. Therefore, new methods are warranted that examine the dynamic relationship between topics and communities. This paper examines how research topics are mixed and matched in evolving research communities by using a hybrid approach which integrates both topic identification and community detection techniques. Using a data set on information retrieval (IR) publications, two layers of enriched information are constructed and contrasted: one is the communities detected through the topology of coauthorship network and the other is the topics of the communities detected through the topic model. We find evidence to support the assumption that IR communities and topics are interwoven and co-evolving, and topics can be used to understand the dynamics of community structures. We recommend the use of the hybrid approach to study the dynamic interactions of topics and communities.}, added-at = {2011-12-06T12:27:52.000+0100}, author = {Yan, Erjia and Ding, Ying and Milojevic, Stasa and Sugimoto, Cassidy R.}, biburl = {https://www.bibsonomy.org/bibtex/28896a7e5326346db2b7899f812a5cd75/wdees}, description = {ScienceDirect - Journal of Informetrics : Topics in dynamic research communities: An exploratory study for the field of information retrieval}, doi = {10.1016/j.joi.2011.10.001}, interhash = {2da607f3386247a96c6419da358ae8bf}, intrahash = {8896a7e5326346db2b7899f812a5cd75}, issn = {1751-1577}, journal = {Journal of Informetrics}, keywords = {Ko-Autoren entwicklung netzwerke}, number = 1, pages = {140 - 153}, timestamp = {2011-12-06T12:27:52.000+0100}, title = {Topics in dynamic research communities: An exploratory study for the field of information retrieval}, url = {http://www.sciencedirect.com/science/article/pii/S1751157711000976}, volume = 6, year = 2012 }