{"action":"created","issue":{"url":"https://api.github.com/repos/JuliaDynamics/RecurrenceAnalysis.jl/issues/23","repository_url":"https://api.github.com/repos/JuliaDynamics/RecurrenceAnalysis.jl","labels_url":"https://api.github.com/repos/JuliaDynamics/RecurrenceAnalysis.jl/issues/23/labels{/name}","comments_url":"https://api.github.com/repos/JuliaDynamics/RecurrenceAnalysis.jl/issues/23/comments","events_url":"https://api.github.com/repos/JuliaDynamics/RecurrenceAnalysis.jl/issues/23/events","html_url":"https://github.com/JuliaDynamics/RecurrenceAnalysis.jl/issues/23","id":394988647,"node_id":"MDU6SXNzdWUzOTQ5ODg2NDc=","number":23,"title":"Functions for analysis of (cross-)recurrence 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includes the calculation of:\r\n\r\n- [ ] Adjacency matrix (based on `recurrencematrix`)\r\n- [ ] Edge density (based on `recurrencerate`)\r\n- [ ] Global clustering coefficient or network transitivity\r\n- [ ] Average path length\r\n- [ ] Global efficiency"},"comment":{"url":"https://api.github.com/repos/JuliaDynamics/RecurrenceAnalysis.jl/issues/comments/450663251","html_url":"https://github.com/JuliaDynamics/RecurrenceAnalysis.jl/issues/23#issuecomment-450663251","issue_url":"https://api.github.com/repos/JuliaDynamics/RecurrenceAnalysis.jl/issues/23","id":450663251,"node_id":"MDEyOklzc3VlQ29tbWVudDQ1MDY2MzI1MQ==","user":{"login":"pucicu","id":972432,"node_id":"MDQ6VXNlcjk3MjQzMg==","avatar_url":"https://avatars0.githubusercontent.com/u/972432?v=4","gravatar_id":"","url":"https://api.github.com/users/pucicu","html_url":"https://github.com/pucicu","followers_url":"https://api.github.com/users/pucicu/followers","following_url":"https://api.github.com/users/pucicu/following{/other_user}","gists_url":"https://api.github.com/users/pucicu/gists{/gist_id}","starred_url":"https://api.github.com/users/pucicu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pucicu/subscriptions","organizations_url":"https://api.github.com/users/pucicu/orgs","repos_url":"https://api.github.com/users/pucicu/repos","events_url":"https://api.github.com/users/pucicu/events{/privacy}","received_events_url":"https://api.github.com/users/pucicu/received_events","type":"User","site_admin":false},"created_at":"2018-12-31T16:12:11Z","updated_at":"2018-12-31T16:12:11Z","author_association":"NONE","body":"Hi,\n\nwould be good to have also the Laplace matrix and the Eigenvalue spectrum.\nSee:\n\nD. Eroglu, N. Marwan, S. Prasad, J. Kurths: Finding recurrence networks' threshold adaptively for a specific time series, Nonlinear Processes in Geophysics, 21, 1085–1092 (2014). DOI:10.5194/npg-21-1085-2014 <http://dx.doi.org/10.5194/npg-21-1085-2014>\n\nBest wishes for the new year!\nNorbert\n\n\n> Am 31.12.2018 um 15:34 schrieb Helios De Rosario <notifications@github.com>:\n> \n> This includes the calculation of:\n> \n>  Adjacency matrix (based on recurrencematrix)\n>  Edge density (based on recurrencerate)\n>  Global clustering coefficient or network transitivity\n>  Average path length\n>  Global efficiency\n> —\n> You are receiving this because you are subscribed to this thread.\n> Reply to this email directly, view it on GitHub <https://github.com/JuliaDynamics/RecurrenceAnalysis.jl/issues/23>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AA7WkG0MmlMR2yf7ceiGtGnVrrvHGrd2ks5u-iBsgaJpZM4Zld5a>.\n> \n\n"}}
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