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10.1016/j.comcom.2015.07.018 http://scihub22266oqcxt.onion/10.1016/j.comcom.2015.07.018 C4784725!4784725!26973360     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Comput+Commun 2016 ; 73 (Pt B): 291-300 Nephropedia Template TP {{tp|p=26973360|t=2016. Analysing the connectivity and communication of suicidal users on twitter |pdf=|usr=}}{{26973360}} gab.com Text Analysing the connectivity and communication of suicidal users on twitter JO: Comput Commun http://www.kidney.de/pget.php?&tw=1&pmid=26973360 #FOAvip ?We investigate the characteristics of the authors of Tweets containing suicidal intent or thinking, through the analysis of their online social network relationships and interactions.?Results show a high degree of reciprocal connectivity between the authors of suicidal content when compared to other studies of Twitter users, suggesting a tightly-coupled virtual community.?Analysis of the retweet graph identified bridge nodes and hub nodes connecting users posting suicidal ideation with users who were not, suggesting a potential for information cascade and risk of possible ?contagion?.?Retweet graphs of suicidal content exhibit an average shortest path similar to that of a large comparison network, demonstrating large scale information propagation in small-scale networks. Twit Text FOAVip Analysing the connectivity and communication of suicidal users on twitter ????Comput Commun http://www.kidney.de/pget.php?&tw=1&pmid=26973360 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26973360 #FOAvip English Wikipedia <ref>{{Cite pmid|26973360}}</ref> Analysing the connectivity and communication of suicidal users on twitter #MMPMID26973360 Colombo GB; Burnap P; Hodorog A; Scourfield J Comput Commun 2016[Jan]; 73 (Pt B): 291-300 PMID26973360show ga ?We investigate the characteristics of the authors of Tweets containing suicidal intent or thinking, through the analysis of their online social network relationships and interactions.?Results show a high degree of reciprocal connectivity between the authors of suicidal content when compared to other studies of Twitter users, suggesting a tightly-coupled virtual community.?Analysis of the retweet graph identified bridge nodes and hub nodes connecting users posting suicidal ideation with users who were not, suggesting a potential for information cascade and risk of possible ?contagion?.?Retweet graphs of suicidal content exhibit an average shortest path similar to that of a large comparison network, demonstrating large scale information propagation in small-scale networks. äAnalysing the connectivity and communication of suicidal users on twit(epmc).pdf DeepDyve Pubget Overpricing