The graph represents a network of 758 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 Sunday, 05 April 2020 at 02:12 UTC.
The requested start date was Sunday, 05 April 2020 at 00:01 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 13-day, 13-hour, 56-minute period from Sunday, 22 March 2020 at 00:03 UTC to Saturday, 04 April 2020 at 14:00 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 : 758
Unique Edges : 808
Edges With Duplicates : 609
Total Edges : 1417
Number of Edge Types : 4
Mentions : 241
Replies to : 38
MentionsInRetweet : 895
Tweet : 243
Self-Loops : 243
Reciprocated Vertex Pair Ratio : 0.0383631713554987
Reciprocated Edge Ratio : 0.0738916256157636
Connected Components : 215
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 92
Maximum Edges in a Connected Component : 391
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.567515
Graph Density : 0.0014151124247568
Modularity : 0.592787
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 758 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 Sunday, 05 April 2020 at 02:12 UTC.
The requested start date was Sunday, 05 April 2020 at 00:01 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 13-day, 13-hour, 56-minute period from Sunday, 22 March 2020 at 00:03 UTC to Saturday, 04 April 2020 at 14:00 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #WEF
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[77] world,economic [68] economic,forum [50] jjhorgan,bcndp [50] bcndp,kennedystewart [48] kennedystewart,gt [48] ãƒ,ム[39] question,those [39] those,behind [39] mean,business [39] business,#wef Top Word Pairs in Tweet in G1:
[17] world,economic [17] economic,forum [11] covid,19 [7] critical,#imf [7] solution,global [5] #covid,19 [5] wef,world [5] #blockchain,#wef [4] #who,#wef [4] supply,chain Top Word Pairs in Tweet in G2:
[39] question,those [39] those,behind [39] mean,business [39] business,#wef [39] #wef,hate [39] hate,children [39] children,question [39] question,ruling [39] ruling,classes [38] elleprovocateur,question Top Word Pairs in Tweet in G3:
[13] #climatechange,#emissions [12] world,economic [11] #mit,#noaa [9] enkisort33,#climatechange [9] #noaa,#globalwarming [7] gap,report [7] economic,forum [7] #emissions,#newyork [7] #newyork,last [7] last,coal Top Word Pairs in Tweet in G4:
[8] jobs,tomorrow [8] tomorrow,hold [8] hold,find [8] find,#dezvideochallenge [8] #dezvideochallenge,#video [7] #wef,#ai [7] #ai,panel [7] panel,intro [7] intro,aibo [7] aibo,jimmarous Top Word Pairs in Tweet in G6:
[50] jjhorgan,bcndp [50] bcndp,kennedystewart [48] kennedystewart,gt [32] northpolenews8,jjhorgan [25] janetholder_iam,northpolenews8 [25] kennedystewart,adriandix [25] adriandix,udibc [25] udibc,justintrudeau [25] justintrudeau,gt [24] homelessdave0,janetholder_iam Top Word Pairs in Tweet in G7:
[15] yes,billgates [15] billgates,œourðÿœžis [15] œourðÿœžis,richer [15] richer,before [15] before,income [15] income,global [15] global,growth [15] growth,trickles [15] trickles,down [14] dearsarah,yes Top Word Pairs in Tweet in G8:
[10] david,rubenstein [10] rubenstein,doubled [10] doubled,fortune [10] fortune,2009 [10] 2009,jamie [10] jamie,dimon [10] dimon,more [10] more,tripled [10] tripled,net [10] net,worth Top Word Pairs in Tweet in G9:
[14] gop,ivankatrump [14] ivankatrump,trump [14] trump,advisors [14] advisors,jared [14] jared,ivanka [14] ivanka,#davos [14] #davos,million [14] million,taxpayer [14] taxpayer,funded [14] funded,luxury Top Word Pairs in Tweet in G10:
[4] problem,reaction [4] reaction,solution [4] solution,#covid19 [3] thomas_binder,bag_ofsp_ufsp [3] bag_ofsp_ufsp,eda_dfae [3] eda_dfae,zivi_ch [3] zivi_ch,ejpd_dfjp_dfgp [3] ejpd_dfjp_dfgp,vbs_ddps [3] vbs_ddps,problem [3] #covid19,#pandemie Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: