Showing 1 - 6 of 6
We use anonymized and aggregated data from Facebook to explore the spatial structure of social networks in the New York … related to past migration movements …
Persistent link: https://www.econbiz.de/10012479369
, we use a deep learning algorithm to measure sentiment within Twitter messages on an hourly basis and introduce a new … measures from Twitter greatly improves forecast accuracy, and (ii) there are substantial gains from our proposed MIDAS …
Persistent link: https://www.econbiz.de/10012480449
We use anonymized data from Facebook to construct a new measure of the pairwise social connectedness between 180 …
Persistent link: https://www.econbiz.de/10012481917
There exists significant hype regarding how much machine learning and incorporating social media data can improve forecast accuracy in commercial applications. To assess if the hype is warranted, we use data from the film industry in simulation experiments that contrast econometric approaches...
Persistent link: https://www.econbiz.de/10012452966
links on Facebook, the world's largest online social networking service. Within the U.S., social connectedness is strongly … connectedness is also associated with more cross-county migration and patent citations. Social connectedness between U.S. counties … and foreign countries is correlated with past migration patterns, with social connectedness decaying in the time since the …
Persistent link: https://www.econbiz.de/10012455074
anonymized social network information from Facebook with housing transaction data and a survey. We first show that in the survey …
Persistent link: https://www.econbiz.de/10012456417