Bibliometrics, Stylized Facts and the Way Ahead: How to Build Good Social Simulation Models of Science?

This paper discusses how stylized facts derived from bibliometric studies can be used to build social simulation models of science. Based on a list of six stylized facts of science it illustrates how they can be brought into play to consolidate and direct research. Moreover, it discusses challenges such a stylized facts based approach of modeling science has to solve.Bibliometrics, Stylized Facts, Methodology, Model Comparison, Validation

Community college faculty job satisfaction: A network approach

This study addresses the question, \u27how do network dynamics and leadership behavior influence community college faculty job satisfaction?\u27 Using ORA\u27s dynamic network analysis (DNA) tools, this study investigates how network interactions relate to faculty job satisfaction, how beliefs about leader-member exchange (LMX) relationships relate to network interactions, and how beliefs about LMX relationships relate to job satisfaction. A faculty network is analyzed as a whole, then clusters are identified and analyzed using standard network measurements and a belief propagation algorithms. Results indicate that job satisfaction and perceptions of relationship with leaders are co-created within networks. Cluster which have high network density (tightly coupled) and clusters which have low network density (loosely coupled) have lower co-created realities of job satisfaction and perceptions of quality of relationships with leaders than clusters with moderate network density (moderate coupling). Network theory asserts that networks which have moderate density also respond more adaptively to internal and external challenges, are more creative, and allow for more appropriate flow of information into and out of the network than those with low or high density. In other words, clusters with moderate density are not only adaptive systems, but also that members of moderately dense clusters have high levels of job satisfaction and perceive high quality relationships with leaders. An additional finding is that larger, co-located clusters of agents are likely to have moderate network density. Agents within larger clusters are likely to have high job satisfaction and perceptions of high-quality relationships with leaders. Furthermore, this study offers a new approach to studying job satisfaction though the use of in-depth analysis of the co-created network conditions under which satisfaction occurs. Changes in satisfaction are projected through modeling using a belief propagation algorithm