We use public data from Twitter to study the breakups of the romantic relationships of 661 couples. Couples are identified through profile references such as @user1 writing "@user2 is the best boyfriend ever!!". Using this data set we find evidence for a number of existing hypotheses describing psychological processes including (i) pre-relationship closeness being indicative of post-relationship closeness, (ii) "stonewalling", i.e., ignoring messages by a partner, being indicative of a pending breakup, and (iii) post-breakup depression. We also observe a previously undocumented phenomenon of "batch un-friending and being un-friended" where users who break up experience sudden drops of 15-20 followers and friends. Our work shows that public Twitter data can be used to gain new insights into psychological processes surrounding relationship dissolutions, something that most people go through at least once in their lifetime.
@cite_30 study the importance of social networks in the dissolution of a romantic relationship. They define certain factors such as the overlap of networks of partners or social capital and study how these factors affect breakup. Though we did not collect data for the Twitter social , or its changes over time, it would be possible to validate their findings on Twitter using our approach of identifying breakups.
@cite_30
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Previous research on the dissolution of long-term romantic relationships has mostly focused on determinants that reflect either the characteristics of the individual partners or the characteristics of the relationship itself. The role of the social context in which couples are embedded has received less attention. This study assesses the association between three characteristics of the social context and the dissolution of long-term romantic relationships simultaneously: the prevalence of divorce in the network of the couple, the extent to which the networks of partners overlap each other, and the amount of social capital in the network of the couple. Using nationally representative panel data from the first and second waves of the Netherlands Kinship Panel Study, partial support was found for the link between the prevalence of divorce and network overlap on the one hand, and the likelihood to dissolve long-term romantic relationships on the other hand, among a sample of 3406 married and 648 unmarried coh...