The data measures the frequency of long ties in different geographic locations of the US and Mexico. Long ties, the edges in the connectivity network without any mutual contact, have been shown to play an important role in access to economic opportunities. Clustering coefficient is yet another related measure that captures the level of structural diversity in a network. Both these measures are provided at two different levels: zip codes and counties (or municipalities in Mexico). The data is described in more detail in the accompanying paper “Long ties, disruptive life events and economic prosperity.”
Details
Title
Replication Data for: Long ties, disruptive life events and economic prosperity
Access Rights
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Citation
Jahani, Eaman, Fraiberger, Samuel, Bailey, Michael, and Eckles, Dean. Replication Data for: Long ties, disruptive life events and economic prosperity. Inter-university Consortium for Political and Social Research [distributor], 2023-06-21. https://socialmediaarchive.org/record/27
Data Formats
aggregate data observational data web platform data
Purpose
To study the association between disruptive life events and the formation of long ties.
To study the association between long ties and economic outcomes.
Design
We use the commenting activity on the Facebook platform to construct a network among all users in the US (or Mexico). In this network, an edge exists between two users if they have reciprocally posted comments to each other during a fixed snapshot period (180 days prior 2021-11-01).
Analysis Units
political administrative area
Related Resources
Long ties, disruptive life events and economic prosperity, Journal Article, Is Source Of, DOI, (https://doi.org/10.31235/osf.io/g2nkq)
Related Items
Relation Type
Is Source Of
Related Item
Journal Article
Title
Long ties, disruptive life events and economic prosperity