The Network Autocorrelation Model using Two-mode Data: Affiliation Exposure and Potential Bias in the Autocorrelation Parameter

The network autocorrelation model has been a workhorse for modeling network influences on individual behavior. The standard network approaches to mapping social influence using network measures, however, are limited to specifying an influence weight matrix (W) based on a single mode network. Additionally, it has been demonstrated that the estimate of the autocorrelation parameter ρ of the network effect tends to be negatively biased as the density in W matrix increases. The current study introduces a two-mode version of the network autocorrelation model. We then conduct simulations to examine conditions under which bias might exist. We show that the estimate for the affiliation autocorrelation parameter (ρ) tends to be negatively biased as density increases, as in the one-mode case. Inclusion of the diagonal of W, the count of the number of events participated in, as one of the variables in the regression model helps to attenuate such bias, however. We discuss the implications of these results.     

The dynamics of multicultural values of Banuroja community in building social integration a socio-cultural ethnographic study in Gorontalo

ABSTRACT

This research is prompted by the researchers’ concern with the problems of this nation that seem to have no end, as can be seen in the various social conflicts related to ethnicity, religion, and race, due to intolerance to the diversity of society. Therefore, it is important to build social integration in this multicultural society through the preservation of cultural values, as has been practiced by the community of Banuroja. This research aims to describe the dynamics of the multicultural values of Banuroja people in building social integration in their community. The research approach is qualitative by using ethnographic study method. The results illustrate that the dynamics of the multicultural values of Banuroja community can build social integration in society in terms of: 1) Emphasizing the identity of cultural diversity; 2) Accepting and understanding the cultural diversity; and 3) Applying the principles in a multicultural social life, e.g., sensitivity and equality.     

Social learning within a community of practice: Investigating interactions about evaluation among zoo education professionals

The accessibility and ubiquity of zoos and aquariums—which reach over 700 million people worldwide annually—make them critical sites for science and environmental learning. Through educational offerings, these sites can generate excitement and curiosity about nature and motivate stewardship behavior, but only if their programs are high quality and meet the needs of their audiences. Evaluation is, therefore, critical: knowing what works, for whom, and under what conditions must be central to these organizations. Yet, many zoo and aquarium educators find evaluation to be daunting, and they are challenged to implement evaluations and/or use the findings iteratively in program development and improvement. This article examines how zoo education professionals engage with one another in a learning community related to evaluation. We use a communities of practice lens and social network analysis to understand the structure of this networked learning community, considering changes over time. Our findings suggest that individuals’ roles in a networked learning community are influenced by factors such as communicative convenience and one’s perceptions of others’ evaluation expertise, which also contribute to forming and sustaining professional relationships. This study illuminates how project-based professional networks can become communities of practice.