The graph represents a network of 872 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, 29 March 2020 at 02:12 UTC.
The requested start date was Sunday, 29 March 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, 16-minute period from Sunday, 15 March 2020 at 00:09 UTC to Saturday, 28 March 2020 at 13:25 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 : 872
Unique Edges : 900
Edges With Duplicates : 523
Total Edges : 1423
Number of Edge Types : 4
Tweet : 296
MentionsInRetweet : 861
Mentions : 219
Replies to : 47
Self-Loops : 296
Reciprocated Vertex Pair Ratio : 0.019047619047619
Reciprocated Edge Ratio : 0.0373831775700935
Connected Components : 233
Single-Vertex Connected Components : 125
Maximum Vertices in a Connected Component : 102
Maximum Edges in a Connected Component : 206
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.360186
Graph Density : 0.00112703946744752
Modularity : 0.63997
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 872 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, 29 March 2020 at 02:12 UTC.
The requested start date was Sunday, 29 March 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, 16-minute period from Sunday, 15 March 2020 at 00:09 UTC to Saturday, 28 March 2020 at 13:25 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:
[84] #who,#wef [77] informative,guide [77] guide,fight [77] fight,#coronaviruspandemic [77] #coronaviruspandemic,myths [77] myths,answered [77] answered,#who [77] #wef,#letsfightcorona [76] brave_fatima,informative [60] world,economic Top Word Pairs in Tweet in G1:
[19] world,economic [19] economic,forum [8] forum,#wef [6] covid,19 [6] critical,#imf [6] solution,global [5] #wef,app [4] #wef,#coronavirus [4] #covid,19 [4] save,lives Top Word Pairs in Tweet in G2:
[33] covid,action [33] action,platform [27] question,those [27] those,behind [27] behind,greta [27] greta,mean [27] mean,business [27] business,#wef [27] #wef,hate [27] hate,children Top Word Pairs in Tweet in G3:
[77] informative,guide [77] guide,fight [77] fight,#coronaviruspandemic [77] #coronaviruspandemic,myths [77] myths,answered [77] answered,#who [77] #who,#wef [77] #wef,#letsfightcorona [76] brave_fatima,informative Top Word Pairs in Tweet in G4:
[30] really,hard [30] hard,watch [30] watch,stark [30] stark,reminder [30] reminder,happen [30] happen,governments [30] governments,flatten [29] borgebrende,really [29] flatten,curve [10] world,economic Top Word Pairs in Tweet in G5:
[9] #coronavirus,world [9] world,economic [9] economic,forum [9] forum,#wef [9] #wef,crea [9] crea,task [9] task,force [9] force,#business [9] #business,wef [8] milafiordalisi,#coronavirus Top Word Pairs in Tweet in G6:
[12] problem,reaction [12] reaction,solution [12] solution,#covid19 [10] #covid19,#pandemie [9] #pandemie,bereits [9] bereits,#wef [8] #wef,oktober [8] oktober,simuliert [3] thomas_binder,bag_ofsp_ufsp [3] bag_ofsp_ufsp,eda_dfae Top Word Pairs in Tweet in G7:
[12] david,rubenstein [12] rubenstein,doubled [12] doubled,fortune [12] fortune,2009 [12] 2009,jamie [12] jamie,dimon [12] dimon,more [12] more,tripled [12] tripled,net [12] net,worth Top Word Pairs in Tweet in G8:
[2] alistairtaurus,kaytonholsteins [2] kaytonholsteins,emm_downunder [2] emm_downunder,jansummersalt [2] jansummersalt,faustralians [2] faustralians,ausrodney [2] ausrodney,den2114 [2] den2114,aussie000050 [2] aussie000050,suecrowther57 [2] suecrowther57,oranglaut [2] oranglaut,bawdensnoek Top Word Pairs in Tweet in G9:
[52] kennedystewart,gt [25] jjhorgan,bcndp [25] bcndp,kennedystewart [25] homelessdave0,kennedystewart [18] homelessdave0,jjhorgan [15] gt,listen [15] listen,babybrains [15] babybrains,hypocrite [15] hypocrite,cllrs [15] cllrs,4virtue Top Word Pairs in Tweet in G10:
[18] hi,friends [18] friends,pls [18] pls,dynamic [18] dynamic,leadership [18] leadership,responsive [18] responsive,responsible [18] responsible,approach [18] approach,#davos17 [18] #davos17,#wef [17] rwang0,hi Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: