The graph represents a network of 4,058 Twitter users whose tweets in the requested range contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 November 2019 at 14:44 UTC.
The requested start date was Monday, 11 November 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 13-day, 14-hour, 2-minute period from Monday, 28 October 2019 at 01:02 UTC to Sunday, 10 November 2019 at 15:05 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 : 4058
Unique Edges : 6364
Edges With Duplicates : 5833
Total Edges : 12197
Number of Edge Types : 3
Mentions : 11495
Tweet : 441
Replies to : 261
Self-Loops : 441
Reciprocated Vertex Pair Ratio : 0.0161595574319406
Reciprocated Edge Ratio : 0.0318051575931232
Connected Components : 171
Single-Vertex Connected Components : 95
Maximum Vertices in a Connected Component : 3681
Maximum Edges in a Connected Component : 11833
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.671461
Graph Density : 0.000423973167965171
Modularity : 0.463721
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,058 Twitter users whose tweets in the requested range contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 November 2019 at 14:44 UTC.
The requested start date was Monday, 11 November 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 13-day, 14-hour, 2-minute period from Monday, 28 October 2019 at 01:02 UTC to Sunday, 10 November 2019 at 15:05 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 : Worldbank (environment OR climate OR warming OR ecological OR planet OR global)
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[252] ø,ø [205] ø,ù [172] ðÿ,ðÿ [168] climate,change [165] ù,ø [164] world,bank [157] top,10 [150] business,climate [142] davidmalpasswbg,president [139] president,worldbank Top Word Pairs in Tweet in G1:
[141] davidmalpasswbg,president [138] president,worldbank [133] assurance,davidmalpasswbg [133] worldbank,6b [133] 6b,lending [133] lending,india [133] india,appreciating [133] appreciating,vision [132] omkar_raii,assurance [127] vision,hon Top Word Pairs in Tweet in G2:
[51] income,countries [48] low,income [48] countries,livelihoods [48] livelihoods,depend [48] depend,#naturalcapital [48] #naturalcapital,governments [48] governments,lose [48] 12,billion [48] billion,potential [47] lose,7â Top Word Pairs in Tweet in G3:
[52] joelosteen,psraymccauley [52] psraymccauley,joshuamccauley [52] joshuamccauley,celliersj1 [52] celliersj1,firstrand [52] firstrand,standardbankza [52] standardbankza,mesirowfin [52] mesirowfin,blackrock [52] blackrock,ellevest [52] ellevest,lisastone [52] lisastone,salliekrawcheck Top Word Pairs in Tweet in G4:
[86] ðÿ,ðÿ [67] global,price [67] price,gender [67] gender,inequality [67] inequality,link [67] link,gt [67] gt,gt [67] gt,worldbank [67] worldbank,antgrasso [67] antgrasso,#womenintech Top Word Pairs in Tweet in G5:
[26] #africaspulse,report [17] new,#africaspulse [16] find,out [15] climate,change [14] four,ten [14] over,416 [14] 416,million [14] lived,below [14] below,1 [14] 1,90 Top Word Pairs in Tweet in G6:
[30] alston_unsr,sfparr [30] sfparr,thenewschool [30] thenewschool,sfu [30] sfu,worldbank [29] worldbank,unicef [29] unicef,harvardchansph [29] harvardchansph,fudanuniversity [29] fudanuniversity,kadijaferryman [27] kadijaferryman,datasociety [24] global,action Top Word Pairs in Tweet in G7:
[178] ø,ø [149] ø,ù [122] ù,ø [81] ù,ù [35] global,financial [26] bank,regulation [24] business,climate [22] ùšø,ø [20] ù,ùš [19] development,report Top Word Pairs in Tweet in G8:
[26] president,davidmalpasswbgâ [21] world,bank [15] worldbank,join [15] join,tuesday [15] tuesday,november [15] november,5 [15] 5,3 [15] 3,pm [15] pm,edt [15] edt,discussion Top Word Pairs in Tweet in G9:
[50] business,manuscranny [50] manuscranny,flacqua [50] flacqua,erikschatzker [50] erikschatzker,mikebloomberg [50] mikebloomberg,freedomforward [50] freedomforward,bloombergdotorg [50] bloombergdotorg,fredchesnais [50] fredchesnais,atari [37] codepink,business [36] atari,chesnais Top Word Pairs in Tweet in G10:
[9] no2wind,martinbrampton [9] martinbrampton,reddragonfly19 [9] reddragonfly19,barbarajdurkin [9] barbarajdurkin,wtraferd [9] wtraferd,roypentland [9] roypentland,gwlarsson [9] gwlarsson,kctaz [9] kctaz,tcw_team [8] peaceonearth222,no2wind [8] tcw_team,juan_mome 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 G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: