tag:blogger.com,1999:blog-6718014252464606072.post6866650445214037552..comments2023-11-25T09:49:10.735+00:00Comments on The Adventures of Auck: Cultural Variation and Social NetworksSean Robertshttp://www.blogger.com/profile/10866561489634450589noreply@blogger.comBlogger4125tag:blogger.com,1999:blog-6718014252464606072.post-45667855116969128802023-09-03T18:53:03.307+01:002023-09-03T18:53:03.307+01:00https://saglamproxy.com
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...Thanks for your comments - both make good points.<br /><br />Of course, the data contains inter-country links and there's no way of filtering them. This is a problem I'm trying to fix by using twitter's local search to find users within 20km of particular cities. I'm also collecting specific IDs of friends and filtering by location, instead of using the friend count. I'll post the data when I have it, but collecting this data is going much slower.<br /><br />As I say in the post, The number of languages spoken in a country and the percentage of the population of a country that speak the majority language. I tried to partial out some of the effects of geographic isolation by including measures of GDP, Internet Prevelance and population size in the regression. The results are still qualitatively the same.<br /><br />For the number of languages, the correlation between mean outdegree and number of languages within a country is 0.06 (p < 0.0001) and the adjusted R-squared = 0.67, F(4,7786) = 3950, p < 0.0001.<br /><br />I extended the study to incorporate the Greenberg Diversity Index (see http://theadventuresofauck.blogspot.com/2010/05/levels-of-bilingualism-update.html). The results are similar:<br />Indegree and outdegree significantly improve the fit of the model: F(2,7253) = 9.09, p < 0.001. Adjusted R-squared: 0.1168, F(4,7253) = 241, p< 0.0001. Correlation between outdegree and GDI = 0.067, p < 0.0001.<br /><br />As I said, I'm not sure what to make of this yet, I'll post more when I am!Sean Robertshttps://www.blogger.com/profile/10866561489634450589noreply@blogger.comtag:blogger.com,1999:blog-6718014252464606072.post-70208392425137750432010-05-05T03:12:36.924+01:002010-05-05T03:12:36.924+01:00Interesting stuff.
I wonder what are the sizes o...Interesting stuff. <br /><br />I wonder what are the sizes of your correlations..? Also, what are the partial effect sizes..?<br /><br />Your results seem to suggest that fewer people follow a person who inhabits a country with GREATER LING. DIVERSITY, relative to a person who lives in a country with LESSER LING. DIVERSITY. How are you defining liguistic diversity and opposed to number of languages? I assume you mean more dialects = greater ling. diversity...? In which case fewer people follow a person living in a country with many dialects, many variations upon a language, possibly meaning having geographic factors which promote isolation, hence dialects...<br /><br />On the other hand, people who live in a country with GREATER LING. DIVERSITY (with factors promoting geographic isolation) tend to follow more people than those who live in a country with LESSER LING. DIVERSITY. Here's where your confound lurks and the obvious one is people following people outside their national borders. Check to see the percentage of dialects spoken cross national borders.<br /><br />If significant, I think your findings are interesting. But check that linguistic diversity is not a proxy for some other factor such as geographic isolation.mrivera0001noreply@blogger.comtag:blogger.com,1999:blog-6718014252464606072.post-44296674984549514522010-04-10T20:47:29.590+01:002010-04-10T20:47:29.590+01:00Yo Sean,
That is really interesting stuff. Combin...Yo Sean,<br /><br />That is really interesting stuff. Combing network literature with bilingualism seems like a great idea -specially given the cost effective nature of publicly available data.<br /><br />I'd be interested to know what your descriptives stats are for your measures of linguistic variance?<br />Since it is cross-country reg and there is large diversity in countries (even with your controls) there may be problems of outliers in terms of countries with 10-15 dialects (if you use your second measure) etc. But we are not necessarily thinking about what the is the average observation doing so it might not be a problem for you. <br /><br />Your baseline results are interesting ( perhaps many nodes out of you means that you are likely to be worldly and many nodes in you means that you are less likely to know other languages as your language is the one in town). <br />But interesting you mentioned that there is a positive correlation between the number of languages and both indegree and outdegree - does this just mean that a European country may be 'busier' than the US for example - from your 117 countries this is interesting. Do you have the same observations from each country? <br />Anyway sorry for the incoherent ramblings <br />AlastairAnonymousnoreply@blogger.com