The acquisition of perceived descriptive norms as social category learning in social networks. Kashima, Y.; Wilson, S.; Lusher, D.; Pearson, L. J.; and Pearson, C. Social Networks.
The acquisition of perceived descriptive norms as social category learning in social networks [link]Paper  doi  abstract   bibtex   
Abstract Descriptive norms—what people typically do in a certain setting—play a significant role in people's behavioural decisions. However, little is known about how people acquire descriptive norms in their community. We postulate that acquisition of descriptive norms can be construed as social category learning in social networks, where people learn social information relevant about community descriptive norms from others with whom they are associated through social network ties. We distinguish two routes to norm acquisition: experiential and conceptual. The experiential route suggests people observe the behaviours of their associates in their social networks, and infer what people typically do; the conceptual route suggests people learn about their community from what their associates say people typically do. We used a novel statistical method of autologistic actor attribute models (ALAAM) on survey responses collected by snow ball sampling in a rural city in Australia, and found that people experientially learn descriptive norms about community engagement. Implications of this finding and the limitations of the current study are discussed.
@article{kashima_acquisition_????,
	title = {The acquisition of perceived descriptive norms as social category learning in social networks},
	issn = {0378-8733},
	url = {http://www.sciencedirect.com/science/article/pii/S0378873313000531},
	doi = {10.1016/j.socnet.2013.06.002},
	abstract = {Abstract 
Descriptive norms—what people typically do in a certain setting—play a significant role in people's behavioural decisions. However, little is known about how people acquire descriptive norms in their community. We postulate that acquisition of descriptive norms can be construed as social category learning in social networks, where people learn social information relevant about community descriptive norms from others with whom they are associated through social network ties. We distinguish two routes to norm acquisition: experiential and conceptual. The experiential route suggests people observe the behaviours of their associates in their social networks, and infer what people typically do; the conceptual route suggests people learn about their community from what their associates say people typically do. We used a novel statistical method of autologistic actor attribute models (ALAAM) on survey responses collected by snow ball sampling in a rural city in Australia, and found that people experientially learn descriptive norms about community engagement. Implications of this finding and the limitations of the current study are discussed.},
	urldate = {2013-07-15},
	journal = {Social Networks},
	author = {Kashima, Yoshihisa and Wilson, Samuel and Lusher, Dean and Pearson, Leonie J. and Pearson, Craig},
	keywords = {Category learning, Descriptive norms, Norm learning, Social category, social networks},
	file = {ScienceDirect Full Text PDF:files/46897/Kashima et al. - The acquisition of perceived descriptive norms as .pdf:application/pdf}
}
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