The graph represents a network of 2,840 Twitter users whose tweets in the requested range contained "worldbank", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 28 July 2022 at 12:25 UTC.
The requested start date was Thursday, 28 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 22-hour, 18-minute period from Monday, 25 July 2022 at 01:41 UTC to Thursday, 28 July 2022 at 00:00 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 : 2840
Unique Edges : 4624
Edges With Duplicates : 19521
Total Edges : 24145
Number of Edge Types : 5
Retweet : 6657
MentionsInRetweet : 12298
Mentions : 4612
Replies to : 339
Tweet : 239
Self-Loops : 279
Reciprocated Vertex Pair Ratio : 0.00779833151976786
Reciprocated Edge Ratio : 0.015475976246176
Connected Components : 153
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 2480
Maximum Edges in a Connected Component : 23665
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.047338
Graph Density : 0.00137843616826
Modularity : 0.282072
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,840 Twitter users whose tweets in the requested range contained "worldbank", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 28 July 2022 at 12:25 UTC.
The requested start date was Thursday, 28 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 22-hour, 18-minute period from Monday, 25 July 2022 at 01:41 UTC to Thursday, 28 July 2022 at 00:00 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 : worldbank
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:
[1717] tigrayan,farmers [1457] war,torn [1406] need,worldbank [1190] reach,war [1139] worldbank,reach [1139] children,malnourished [1134] 500k,children [1123] malnourished,3m [1123] 3m,ppl [1099] medical,supplies Top Word Pairs in Tweet in G1:
[106] axelvt_wb,worldbank [104] millions,#tigray [91] war,torn [88] medical,supplies [82] need,worldbank [72] reach,war [69] sbatakis,axelvt_wb [65] #tigray,facing [65] facing,man [65] man,made Top Word Pairs in Tweet in G2:
[1638] tigrayan,farmers [1274] war,torn [1245] need,worldbank [1054] reach,war [1025] worldbank,reach [1025] children,malnourished [1020] 500k,children [1010] malnourished,3m [1010] 3m,ppl [962] farmers,heavily Top Word Pairs in Tweet in G3:
[53] worldbank,imfnews [27] narendramodi,pmoindia [27] pmoindia,rbi [27] rbi,finminindia [27] finminindia,nsitharaman [27] nsitharaman,#boycottunitybanksfb [27] #boycottunitybanksfb,#pmcbankcrisis [27] #pmcbankcrisis,icj_asia [27] icj_asia,abpnews [22] washington,dc Top Word Pairs in Tweet in G4:
[133] medical,supplies [113] millions,#tigray [99] need,food [99] #tigray,facing [99] facing,man [99] man,made [99] made,famine [99] famine,hospitals [99] hospitals,run [99] run,medical Top Word Pairs in Tweet in G5:
[14] southeast,asia [11] july,28 [11] isasnus,nusingapore [10] linkages,between [9] between,south [9] unescap,martinraiser [7] economic,linkages [6] rupa,chanda [6] chanda,unescap [6] asia,join Top Word Pairs in Tweet in G6:
[5] #imf,#worldbank [4] world,bank [4] 150,million [3] #digitalid,#worldbank [3] اسان,جي [3] ब,क [3] भ,रत [3] million,#worldbank [2] food,prices [2] #adb,#worldbank Top Word Pairs in Tweet in G7:
[2] pinky717623862,hisamuddink51 [2] hisamuddink51,singhrakeshku14 [2] singhrakeshku14,ravimis37169884 [2] ravimis37169884,rajarajavira [2] rajarajavira,jitendramanoha6 [2] jitendramanoha6,rajeshs50119232 Top Word Pairs in Tweet in G8:
[33] chief,economist [22] heartfelt,congratulations [22] congratulations,brilliant [22] brilliant,indermitgill [22] indermitgill,being [22] being,appointed [22] appointed,chief [22] economist,worldbank [21] tawdevinod,heartfelt [21] worldbank,pioneeri Top Word Pairs in Tweet in G9:
[5] world,bank [3] bank,group [3] group,worldbankdata [3] worldbankdata,declared [3] declared,#chainlink [3] #chainlink,global [3] global,industry [3] industry,standard [2] #cameroon,pregnant [2] pregnant,girls Top Word Pairs in Tweet in G10:
[11] gdp,26 [11] zambia,gdp [11] verdict,zim [10] facts,zimbabwe [10] zimbabwe,gdp [10] 26,bln [10] bln,zambia [10] gdp,21 [10] 21,bln [10] bln,verdict 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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Top Tweeters in G10: