The graph represents a network of 4,986 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, 19 May 2022 at 12:26 UTC.
The requested start date was Thursday, 19 May 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, 3-hour, 8-minute period from Monday, 16 May 2022 at 20:52 UTC to Thursday, 19 May 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 : 4986
Unique Edges : 6947
Edges With Duplicates : 16805
Total Edges : 23752
Number of Edge Types : 5
MentionsInRetweet : 8931
Retweet : 5803
Mentions : 7728
Replies to : 917
Tweet : 373
Self-Loops : 415
Reciprocated Vertex Pair Ratio : 0.00925404361470991
Reciprocated Edge Ratio : 0.0183383830330091
Connected Components : 207
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 4373
Maximum Edges in a Connected Component : 22911
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.208471
Graph Density : 0.000504602455581747
Modularity : 0.382409
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,986 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, 19 May 2022 at 12:26 UTC.
The requested start date was Thursday, 19 May 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, 3-hour, 8-minute period from Monday, 16 May 2022 at 20:52 UTC to Thursday, 19 May 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:
[1811] world,bank [1054] #ethiopian,gov [1041] 300,mil [1041] mil,grant [747] grant,world [497] buy,more [493] gov,use [493] use,300 [493] bank,buy [493] more,high Top Word Pairs in Tweet in G1:
[260] world,bank [133] 300,mil [133] mil,grant [117] #ethiopian,gov [93] grant,world [80] secblinken,josepborrellf [79] josepborrellf,worldbank [79] worldbank,un_hrc [79] un_hrc,davidmalpasswbg [78] davidmalpasswbg,imfnews Top Word Pairs in Tweet in G2:
[52] imfnews,worldbank [52] worldbank,davidmalpasswbg [50] davidmalpasswbg,uzh_en [34] human,rights [27] worldbank,intlcrimcourt [27] renown,nup_ug [27] nup_ug,political [27] political,coordinator [27] coordinator,abducted [27] abducted,detained Top Word Pairs in Tweet in G3:
[1432] world,bank [934] #ethiopian,gov [902] 300,mil [902] mil,grant [652] grant,world [446] buy,more [445] gov,use [445] use,300 [445] bank,buy [445] more,high Top Word Pairs in Tweet in G4:
[27] learn,more [21] sanitation,services [21] people,globally [21] access,safe [20] small,towns [20] billion,people [20] globally,lack [20] lack,access [20] safe,#water [20] #water,sanitation Top Word Pairs in Tweet in G5:
[61] hassansmohamud,worldbank [48] worldbank,thevillasomalia [47] president,hassansmohamud [46] mohamedhroble,sntvnews1 [41] drbeileh,hassansmohamud [39] bbcsomali,mof_somalia [31] thevillasomalia,golaha_shac_jfs [31] golaha_shac_jfs,mohamedhroble [31] sntvnews1,bbcsomali [27] today,honour Top Word Pairs in Tweet in G6:
[56] worldbank,wbg_education [56] wbg_education,recruiting [56] recruiting,research [56] research,analyst [56] analyst,ge [56] ge,level [56] level,staff [56] staff,work [56] work,countries [56] countries,west Top Word Pairs in Tweet in G7:
[23] food,security [23] adb_hq,afdb_group [23] afdb_group,ebrd [23] ebrd,ifad [23] ifad,the_idb [21] action,plan [14] treasury,welcomes [14] welcomes,today [14] today,action [14] plan,stems Top Word Pairs in Tweet in G8:
[113] imfnews,worldbank [111] welt,imfnews [71] bmf_bund,c_lindner [71] c_lindner,g7 [71] g7,welt [54] c_lindner,welt [50] bmf_bund,g7 [40] g7,c_lindner [25] die,ukraine [16] zahlungsfähig,halten Top Word Pairs in Tweet in G9:
[57] financial,support [57] support,ethiopia [57] ethiopia,means [57] means,encouraging [57] encouraging,lawlessness [57] lawlessness,war [57] war,crimes [57] crimes,inhumanity [57] inhumanity,genocide [57] genocide,terrorism Top Word Pairs in Tweet in G10:
[11] urban,planners [9] planners,use [9] use,mapping [9] mapping,data [9] data,design [9] design,inclusive [9] inclusive,green [9] green,recovery [9] recovery,covid [9] covid,19 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: