A team led by City College physicist Hern\u00b4an A. Makse was legally granted access to two massive big datasets: all the phone calls of the entire population of Mexico for three months and the banking information of a subset of people. All the data, approximately 110 million phone calls and 500,000 bank clients, was anonymous with no names.<\/p>\n “It is commonly believed that patterns of social ties affect individuals’ economic status<\/strong>, said Makse, whose research interest includes the theoretical understanding of complexity. “We analyzed these two large-scale sources — the telecommunications and financial data of a whole country’s population. Our results showed that an individual’s location<\/strong>, measured as the optimal collective influence to the structural integrity of the social network<\/strong>, is highly correlated with personal economic status<\/strong>.”<\/p>\n The social network patterns of influence observed mimicked the patterns of economic inequality<\/strong>. For pragmatic use and validation, Makse and his colleagues carried out a marketing campaign that showed a three-fold increase in response rate by targeting individuals identified by their social network metrics as compared to random targeting.<\/p>\n<\/div>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":" From the City College of New York press release: New big-data analytics by a City College of New York-led team suggests that both an individual’s economic status and how they… Read more »<\/a><\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[368,335,348],"tags":[13,294,87,12,98,166,186,252],"_links":{"self":[{"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/posts\/21288"}],"collection":[{"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/comments?post=21288"}],"version-history":[{"count":2,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/posts\/21288\/revisions"}],"predecessor-version":[{"id":21306,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/posts\/21288\/revisions\/21306"}],"wp:attachment":[{"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/media?parent=21288"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/categories?post=21288"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/tags?post=21288"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"http:\/\/therapytoronto.ca\/news\/wp-content\/uploads\/2017\/05\/SocialNetwork-Hierarchy-300x200.jpg\")
New big-data analytics by a City College of New York-led team suggests that both an individual’s economic status and how they are likely to react to issues and policies can be inferred by their position in social networks<\/strong>. The study could be useful in maximizing the effects of large-scale economic stimulus policies.<\/p>\n