The graph represents a network of 4,600 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, 29 July 2021 at 12:33 UTC.
The requested start date was Thursday, 29 July 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 2-day, 8-hour, 8-minute period from Monday, 26 July 2021 at 15:51 UTC to Thursday, 29 July 2021 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 : 4600
Unique Edges : 5807
Edges With Duplicates : 49903
Total Edges : 55710
Number of Edge Types : 5
Tweet : 390
Retweet : 3718
MentionsInRetweet : 11568
Mentions : 36924
Replies to : 3110
Self-Loops : 673
Reciprocated Vertex Pair Ratio : 0.0146364949446317
Reciprocated Edge Ratio : 0.0288507165227294
Connected Components : 212
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 4090
Maximum Edges in a Connected Component : 54962
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.340958
Graph Density : 0.000498076141316165
Modularity : 0.157403
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,600 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, 29 July 2021 at 12:33 UTC.
The requested start date was Thursday, 29 July 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 2-day, 8-hour, 8-minute period from Monday, 26 July 2021 at 15:51 UTC to Thursday, 29 July 2021 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:
[3163] need,accountability [2720] ugandans,need [2679] imfnews,worldbank [2227] covid,19 [2082] accountability,covid [2048] #ugandaisbleeding,#accountability [1480] stop,satisfying [1480] satisfying,desires [1480] desires,behalf [1479] behalf,ugandans Top Word Pairs in Tweet in G1:
[313] usembassyburma,worldbank [292] economy,expected [292] fiscal,year [287] expected,contract [287] 18,percent [286] worldbank,myanmar's [286] myanmar's,economy [286] contract,around [286] around,18 [286] percent,myanmar Top Word Pairs in Tweet in G2:
[3163] need,accountability [2720] ugandans,need [2668] imfnews,worldbank [2084] covid,19 [2082] accountability,covid [2048] #ugandaisbleeding,#accountability [1480] stop,satisfying [1480] satisfying,desires [1480] desires,behalf [1479] behalf,ugandans Top Word Pairs in Tweet in G3:
[16] aid,tackle [16] tackle,learning [16] learning,crisis [16] crisis,falls [16] falls,short [16] short,5bn [16] 5bn,goal [16] goal,financialtimes [16] financialtimes,onecampaign [16] onecampaign,unesco Top Word Pairs in Tweet in G4:
[179] narendramodi,pmoindia [179] pmoindia,rbi [179] rbi,finminindia [179] finminindia,nsitharaman [179] nsitharaman,fayedsouza [179] icj_asia,abpnews [157] abpnews,mumbaimirror [133] sunnyfernandes,narendramodi [91] fayedsouza,#pmcbankcrisis [91] #pmcbankcrisis,icj_asia Top Word Pairs in Tweet in G5:
[34] pesa,za [33] yaani,acheni [33] acheni,muongeze [33] muongeze,wekeni [33] wekeni,tozo [33] tozo,kuvuta [33] kuvuta,pumzi [33] pumzi,kabisa [33] kabisa,pesa [33] za,kujenga Top Word Pairs in Tweet in G6:
[116] worldbank,worldbankafrica [96] thecableng,worldbank [73] cruizewrld,thecableng [70] potential_sly,cruizewrld [35] adekbolaji,potential_sly [27] nnaemy2001,potential_sly [18] worldbankafrica,imfnews [18] imfnews,dfid_uk [18] dfid_uk,ft [18] ft,forbes Top Word Pairs in Tweet in G7:
[11] kremlinrussia_e,justintrudeau [11] justintrudeau,borisjohnson [11] borisjohnson,germanydiplo [11] germanydiplo,shekharnc [11] shekharnc,pm_nepal [11] pm_nepal,presidentofnp [11] presidentofnp,ind_parliament [11] ind_parliament,israelipm [11] israelipm,kamalaharris [11] kamalaharris,worldbank Top Word Pairs in Tweet in G8:
[8] marshal_trump,un_pga [8] un_pga,cij_icj [8] cij_icj,cia [8] cia,fbi [8] fbi,policeng [8] policeng,officialefcc [8] officialefcc,oluobasanjo1 [8] oluobasanjo1,boeingairplanes [8] boeingairplanes,worldbank [5] truth,lie Top Word Pairs in Tweet in G9:
[64] pre,summit [61] #unfss2021,pre [58] discussion,holistic [58] holistic,inclusive [58] inclusive,approach [58] approach,addressing [58] addressing,entire [57] second,day [57] day,#unfss2021 [57] summit,great Top Word Pairs in Tweet in G10:
[12] world,bank [6] covid,19 [3] developing,countries [2] développement,compétences [2] l'ouest,centrale [2] bank,covax [2] পঞ,চ [2] চ,য [2] ন,র [2] strengthen,disability Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: