The graph represents a network of 4,608 Twitter users whose tweets in the requested range contained "#WEF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 22 January 2019 at 20:06 UTC.
The requested start date was Tuesday, 22 January 2019 at 20:04 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 4-day, 15-hour, 48-minute period from Friday, 18 January 2019 at 04:00 UTC to Tuesday, 22 January 2019 at 19:48 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 : 4608
Unique Edges : 5508
Edges With Duplicates : 1446
Total Edges : 6954
Self-Loops : 1390
Reciprocated Vertex Pair Ratio : 0.00777356986246761
Reciprocated Edge Ratio : 0.0154272151898734
Connected Components : 869
Single-Vertex Connected Components : 560
Maximum Vertices in a Connected Component : 2505
Maximum Edges in a Connected Component : 4114
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.375668
Graph Density : 0.000238164146347346
Modularity : 0.725993
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1084] world,economic [1077] economic,forum [1055] davos,wef [803] forum,davos [771] morning,train [771] train,world [768] gretathunberg,morning [445] wef,davos [191] ahead,wef [174] wef19,wef Top Word Pairs in Tweet in G1:
[768] davos,wef [760] morning,train [760] train,world [760] world,economic [760] economic,forum [760] forum,davos [757] gretathunberg,morning [7] way,davos [6] makes,day [6] day,gretathunberg Top Word Pairs in Tweet in G2:
[63] world,economic [61] wef,davos [60] economic,forum [54] davos,wef [18] wef,wef2019 [18] annual,meeting [17] wef,wef19 [13] forum,wef [13] davos,switzerland [13] first,day Top Word Pairs in Tweet in G3:
[74] wef,davos [32] davos,wef [18] world,economic [18] economic,forum [18] wef19,wef [15] david,attenborough [14] wef,wef [13] sir,david [13] davos,2019 [13] davos2019,wef Top Word Pairs in Tweet in G4:
[77] 2019,wef [48] davos,2019 [44] wef_es,cómo [43] wef_es,qué [27] cómo,seguir [27] seguir,davos [24] wef_es,10 [22] wef_es,cinco [22] economía,mundial [22] tu,lista Top Word Pairs in Tweet in G5:
[144] imf's,christine [144] christine,lagarde [144] lagarde,holds [144] holds,news [144] news,conference [144] conference,ahead [144] ahead,wef [138] reuters,imf's [19] head,up [19] up,mountain Top Word Pairs in Tweet in G6:
[47] artificial,intelligence [47] intelligence,great [47] great,detector [47] detector,tool [47] tool,ai [47] ai,cybersecurity [47] cybersecurity,digitaltransformation [46] tamaramccleary,artificial [46] digitaltransformation,wef [30] davos2019,davos19 Top Word Pairs in Tweet in G7:
[80] davos,davos2019 [80] wef19,wef [79] davos2019,wef19 [72] world,economic [72] economic,forum [67] wef,world [66] forum,2019 [56] wimgrommen,davos [12] wef,trickle [12] trickle,down Top Word Pairs in Tweet in G8:
[73] wef,recognizes [73] recognizes,uthmaniyah [73] uthmaniyah,gas [73] gas,plant [73] plant,manufacturing [73] manufacturing,lighthouse [73] lighthouse,leadership [73] leadership,adopting [73] adopting,4th [73] 4th,industrial Top Word Pairs in Tweet in G9:
[37] shereen,stronger [37] stronger,pitch [37] pitch,various [37] various,states [37] states,better [37] better,india [37] india,country [37] country,missing [37] missing,wef [37] wef,year Top Word Pairs in Tweet in G10:
[27] heute,abend [27] abend,beginnt [27] beginnt,weltwirtschaftsforum [27] weltwirtschaftsforum,davos [27] davos,3 [27] 3,000 [27] 000,teilnehmer [27] teilnehmer,60 [27] 60,staats [27] staats,regierungschefs Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: