The graph represents a network of 7,838 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, 09 September 2021 at 12:34 UTC.
The requested start date was Thursday, 09 September 2021 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 4-day, 12-hour, 22-minute period from Friday, 03 September 2021 at 19:42 UTC to Wednesday, 08 September 2021 at 08:04 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 : 7838
Unique Edges : 8444
Edges With Duplicates : 33552
Total Edges : 41996
Number of Edge Types : 5
Tweet : 689
Mentions : 26747
Retweet : 4624
MentionsInRetweet : 8379
Replies to : 1557
Self-Loops : 790
Reciprocated Vertex Pair Ratio : 0.0113215924226728
Reciprocated Edge Ratio : 0.0223896978122485
Connected Components : 426
Single-Vertex Connected Components : 194
Maximum Vertices in a Connected Component : 6587
Maximum Edges in a Connected Component : 40435
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.841827
Graph Density : 0.000222493889679953
Modularity : 0.269955
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 7,838 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, 09 September 2021 at 12:34 UTC.
The requested start date was Thursday, 09 September 2021 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 4-day, 12-hour, 22-minute period from Friday, 03 September 2021 at 19:42 UTC to Wednesday, 08 September 2021 at 08:04 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:
[496] imfnews,worldbank [352] chinascio,xhnews [351] eu_commission,nato [351] whitehouse,deptofdefense [350] bufan78266400,z4xi1204 [350] z4xi1204,c7sn19rm36sohow [350] c7sn19rm36sohow,wwgoyu [350] wwgoyu,cnewsgovhk [350] cnewsgovhk,iranprimer [350] iranprimer,chinascio Top Word Pairs in Tweet in G1:
[51] young,professionals [50] world,bank [47] climate,change [44] worldbank,really [39] official_pia,worldbank [39] one,mind [39] mind,blowing [39] blowing,things [39] things,discovered [39] discovered,whilst Top Word Pairs in Tweet in G2:
[116] young,professionals [89] world,bank [79] climate,change [72] learn,more [69] interested,career [66] bank,group [66] professionals,program [58] group,young [55] primary,school [52] school,children Top Word Pairs in Tweet in G3:
[464] imfnews,worldbank [352] chinascio,xhnews [351] eu_commission,nato [351] whitehouse,deptofdefense [350] bufan78266400,z4xi1204 [350] z4xi1204,c7sn19rm36sohow [350] c7sn19rm36sohow,wwgoyu [350] wwgoyu,cnewsgovhk [350] cnewsgovhk,iranprimer [350] iranprimer,chinascio Top Word Pairs in Tweet in G4:
[232] evidencia,iniciativas [232] iniciativas,reapertura [232] reapertura,#escuelas [232] #escuelas,sugiere [232] sugiere,precauciones [232] precauciones,estrategias [232] estrategias,minimizar [231] bancomundial,evidencia [85] capital,humano [83] restablecimiento,capital Top Word Pairs in Tweet in G5:
[77] httweets,rbisays [77] rbisays,nitiaayog [77] nitiaayog,pti_news [77] pti_news,worldbank [77] worldbank,nsitharaman [77] nsitharaman,_aaj_tak [75] geeta28696413,httweets [63] pmc,bank [62] _aaj_tak,republic_bharat [53] bank,depositers Top Word Pairs in Tweet in G6:
[30] world,bank [9] people,being [6] air,pollution [6] #nasa,#bma [6] #bma,#nhs [6] #nhs,#who [6] #who,#maudsleyhospital [6] #maudsleyhospital,#kingscollegelondon [6] #kingscollegelondon,#worldbank [6] #worldbank,#ito Top Word Pairs in Tweet in G7:
[145] once,again [145] again,bbcworld [145] bbcworld,comes [145] comes,terrible [145] terrible,take [145] take,#bitcoin [145] #bitcoin,#elsalvador [145] #elsalvador,citing [145] citing,minuscule [145] minuscule,protests Top Word Pairs in Tweet in G8:
[168] before,people [168] people,fall [168] fall,look [168] look,happened [168] happened,pakistan's [168] pakistan's,exports [168] exports,gdp [168] gdp,during [168] during,dar [168] dar,years Top Word Pairs in Tweet in G9:
[48] nayibbukele,worldbank [34] worldbank,imf [31] buy,more [29] welcome,#bitcoin [29] #bitcoin,salvador [29] salvador,know [29] know,borrow [29] borrow,50 [29] 50,#btc [29] #btc,value Top Word Pairs in Tweet in G10:
[4] venkatagiri_gr,interpol_cyber [4] interpol_cyber,paloaltontwks [4] paloaltontwks,kaspersky [4] kaspersky,fortinet [4] fortinet,unodc [4] unodc,groupib_gib [4] groupib_gib,trendmicro [4] trendmicro,bancodobrasil [3] worldbank,thanks [3] dss,worldbank Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: