Start Date
11-12-2016 12:00 AM
Description
This study examines the historical Information Systems research collaboration network. We build the network using co-authorship information in the Senior Scholar Basket of 8 journals from the publication of MISQ’s first issue in April 1977 to November 2015. The different journals vary widely in their network configurations. We examine the influence of gender, temporal, and geographic homophily on co-authorship in the network. Using exponential random graph modeling on a randomly selected subset of the network, preliminary evidence suggests that ties in the IS collaboration network exhibit homophily according to gender and geography. Conversely, co-authorship seems to exhibit great diversity along the temporal dimension – researchers that graduated around the same time are not more likely to collaborate than would be expected from chance. We also reveal the current center of the IS collaboration network. Based on this center, we propose a metric to measure a researcher’s connectedness within the network.
Recommended Citation
Chipidza, Wallace, "Who is Our Paul Erdös? An Analysis of the Information Systems Collaboration Network" (2016). ICIS 2016 Proceedings. 3.
https://aisel.aisnet.org/icis2016/GeneralIS/Presentations/3
Who is Our Paul Erdös? An Analysis of the Information Systems Collaboration Network
This study examines the historical Information Systems research collaboration network. We build the network using co-authorship information in the Senior Scholar Basket of 8 journals from the publication of MISQ’s first issue in April 1977 to November 2015. The different journals vary widely in their network configurations. We examine the influence of gender, temporal, and geographic homophily on co-authorship in the network. Using exponential random graph modeling on a randomly selected subset of the network, preliminary evidence suggests that ties in the IS collaboration network exhibit homophily according to gender and geography. Conversely, co-authorship seems to exhibit great diversity along the temporal dimension – researchers that graduated around the same time are not more likely to collaborate than would be expected from chance. We also reveal the current center of the IS collaboration network. Based on this center, we propose a metric to measure a researcher’s connectedness within the network.