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Library's collection Library's IT development CancelIn this research, the writer aims to find out the extent of the influence of
the NonChinese shop assistants? social networks (plexity and density) on their
recognition of some spoken Chinese loanwords. The writer chooses the
NonChinese shop-assistants who work in the Chinese-owned shops of Simokerto-Pabean
cantina sub-districts because they must have some relationships with the
Chinese (Chinese boss, boss? family, and friends). In addition, the writer uses two
kinds of questionnaires in order to know the respondents? social networks (plexity
and density) and the respondents? recognition level of the spoken Chinese
loanwords. As for social networks, she uses Janet Holmes? theory and as for the
spoken Chinese loanwords, she uses Philip Leo and Giok Lan Tan?s. From three
categories of sixty questions in spoken Chinese loanwords and consisting of
twenty questions each, the writer gets the respondents? data of their spoken
Chinese loanwords recognition. Of the three categories, the findings show that
most of the respondents have the highest scores in numerical terms and the lowest
scores in cultural terms. This result is because numerical terms loanwords are
closely related to the business transaction. On the other hand, the lowest scores of
cultural terms happen because most of the loanwords in cultural terms are not
familiar for the respondents and this category is not related to a business
transaction. From the findings of scores of their respondents, the writer then seeks
whether there is any correlation between the scores of mastering the loanwords
and social networks (plexity and density). The research finds out that plexity
influences 55% of the respondents? recognition of spoken Chinese loanwords and
density influences 60% of the respondents? scores of the loanwords recognition.
In conclusion, the social networks of the respondents do not give significant on
the respondents? recognition of some spoken Chinese loanwords.