{"id":1250,"date":"2018-03-21T15:53:24","date_gmt":"2018-03-21T15:53:24","guid":{"rendered":"http:\/\/dccs.udd.cl\/?p=1250"},"modified":"2018-03-21T15:53:24","modified_gmt":"2018-03-21T15:53:24","slug":"1250","status":"publish","type":"post","link":"https:\/\/gobierno.udd.cl\/doctorate\/2018\/03\/21\/1250\/","title":{"rendered":"Three degrees of distance on Twitter"},"content":{"rendered":"

\"National<\/h1>\n

FOLLOW 4 FOLLOW<\/span><\/h1>\n

This project analyzes the retweet as a contagious behavior to study distance the phenomenon of the three degrees of distance on Twitter. In their research, Twitter data was extracted using Python tools such as Tweepy (calls to Twitter) and NetworkX (a Python library for SNA) along with additional libraries, including Apigee. These tools allow the investigation of different forms of SNA beyond egocentric analysis. It explores the diffusion in digital networks and the similarity it presents with physical networks, which implies that there are human barriers to communication in online spaces. Social influence is diffused to three degrees, but not further due to noisy communication and technology \/ time issues that lead to the decay of information.<\/p>\n

\"The
The figure shows the relationship between retweets and social distnance with 3+ RTs<\/figcaption><\/figure>\n
\n

NETWORKS + SOCIAL DINAMICS<\/span><\/h3>\n

The evolution of knowledge and social relations can be better understood if the relationships between individuals measured by the use of technology are considered. This in the framework of addressing the creation of knowledge as a social enterprise and to better understand human behavior and social interaction phenomena in a multidimensional and integrated manner. It is also integrated in the use of tools from diverse scientific fields including econometrics, data mining, spatial analysis and experimental methods.
\n<\/span><\/p>\n<\/blockquote>\n

 <\/p>\n

Researcher<\/h1>\n\n\n\n
\"\"<\/span><\/td>\n\n
\n

Jorge F\u00e1brega<\/span><\/a><\/h2>\n
\n

Principal\u00a0Researcher<\/h3>\n

Ph.D. en Pol\u00edticas P\u00fablicas, Universidad de Chicago.<\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Products<\/h1>\n\n\n\n
\n

PAPERS<\/h2>\n\n\n\n
Fabrega, J., & Paredes, P. (2012). Three Degrees of Distance on Twitter.\u00a0arXiv preprint arXiv:1207.6839<\/i>.<\/a><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/h2>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

FOLLOW 4 FOLLOW This project analyzes the retweet as a contagious behavior to study distance the phenomenon of the three degrees of distance on Twitter. In their research, Twitter data was extracted using Python tools such as Tweepy (calls to Twitter) and NetworkX (a Python library for SNA) along with additional libraries, including Apigee. These […]<\/p>\n","protected":false},"author":0,"featured_media":1170,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-1250","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-projects"],"yoast_head":"\nThree degrees of distance on Twitter - Doctoral Program in Social Complexity Sciences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gobierno.udd.cl\/doctorate\/2018\/03\/21\/1250\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Three degrees of distance on Twitter - Doctoral Program in Social Complexity Sciences\" \/>\n<meta property=\"og:description\" content=\"FOLLOW 4 FOLLOW This project analyzes the retweet as a contagious behavior to study distance the phenomenon of the three degrees of distance on Twitter. 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