The graph represents a network of 5,981 Twitter users whose tweets in the requested range contained "Davos", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 February 2019 at 15:06 UTC.
The requested start date was Monday, 11 February 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 10-hour, 6-minute period from Saturday, 09 February 2019 at 14:50 UTC to Monday, 11 February 2019 at 00:57 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 5981
Unique Edges : 7483
Edges With Duplicates : 1369
Total Edges : 8852
Number of Edge Types : 3
Mentions : 7337
Tweet : 956
Replies to : 559
Self-Loops : 956
Reciprocated Vertex Pair Ratio : 0.00692285956484883
Reciprocated Edge Ratio : 0.0137505261680932
Connected Components : 962
Single-Vertex Connected Components : 404
Maximum Vertices in a Connected Component : 2797
Maximum Edges in a Connected Component : 4751
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.146236
Graph Density : 0.000199265343599212
Modularity : 0.794552
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[601] bts_twt,time's [601] time's,next [601] next,generation [601] generation,leaders [601] leaders,speakers [601] speakers,order [601] order,cultural [601] cultural,merit [601] merit,holders [601] holders,unicef's Top Word Pairs in Tweet in G1:
[601] bts_twt,time's [601] time's,next [601] next,generation [601] generation,leaders [601] leaders,speakers [601] speakers,order [601] order,cultural [601] cultural,merit [601] merit,holders [601] holders,unicef's Top Word Pairs in Tweet in G2:
[46] davos,2019 [26] economic,forum [25] world,economic [12] greta,thunberg [11] em,davos [10] davos,seaworth [8] road,ahead [8] ahead,building [8] building,more [8] more,sustainable Top Word Pairs in Tweet in G3:
[100] read,more [52] teenager,built [52] built,prosthetic [52] prosthetic,arm [52] arm,lego [51] davos,teenager [49] more,nature [45] nature,environment [35] learn,more [30] managing,natural Top Word Pairs in Tweet in G4:
[81] road,ahead [81] ahead,building [81] building,more [81] more,sustainable [81] sustainable,world [74] world,sustainability [74] sustainability,future [71] bestof,road [70] wef,bestof [26] gt,gt Top Word Pairs in Tweet in G5:
[202] tony,blair [201] last,month [200] blair,last [200] month,davos [199] change_britain,tony [5] davos,blair [4] cjneet,davidlammy [4] davidlammy,lammy [4] lammy,highest [4] highest,claimant Top Word Pairs in Tweet in G6:
[218] swells,lecture [218] lecture,carbon [218] carbon,emissions [218] emissions,davos [218] davos,gulfstreams [218] gulfstreams,global [218] global,jets [217] govmikehuckabee,swells [217] jets,tu [5] mentoring,women Top Word Pairs in Tweet in G7:
[52] rutger,bregman [52] world,economic [52] economic,forum [48] economist,asks [48] forum,davos [47] bregman,caused [47] caused,stir [47] stir,criticising [47] criticising,tax [47] tax,avoidance Top Word Pairs in Tweet in G8:
[124] good,spotting [124] spotting,fusion [124] fusion,gps [124] gps,source [124] source,leshchenko [124] leshchenko,pal [124] pal,nayem [124] nayem,featured [124] featured,2015 [124] 2015,davos Top Word Pairs in Tweet in G9:
[143] now,more [143] more,data [143] data,costs [143] costs,survé [143] survé,r1 [143] r1,8m [143] 8m,attend [143] attend,davos [143] davos,ayo [143] ayo,s Top Word Pairs in Tweet in G10:
[93] bolsonaro,está [93] está,fugindo [93] fugindo,suas [93] suas,obrigações [93] obrigações,presidenciais [93] presidenciais,vampiro [93] vampiro,foge [93] foge,da [93] da,estaca [93] estaca,foi Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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