The graph represents a network of 5,807 Twitter users whose recent tweets contained "worldbank", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 13:28 UTC.
The tweets in the network were tweeted over the 1436-day, 8-hour, 18-minute period from Tuesday, 02 April 2019 at 16:40 UTC to Thursday, 09 March 2023 at 00:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5807
Unique Edges : 6026
Edges With Duplicates : 15078
Total Edges : 21104
Number of Edge Types : 9
MentionsInRetweet : 5401
Retweet : 3002
Mentions : 2103
Tweet : 692
MentionsInReplyTo : 6424
Replies to : 1132
MentionsInQuote : 1996
Quote : 250
MentionsInQuoteReply : 104
Self-Loops : 1357
Reciprocated Vertex Pair Ratio : 0.02250296091591
Reciprocated Edge Ratio : 0.044015444015444
Connected Components : 294
Single-Vertex Connected Components : 137
Maximum Vertices in a Connected Component : 5005
Maximum Edges in a Connected Component : 19517
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.559898
Graph Density : 0.000307277597013262
Modularity : 0.395404
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,807 Twitter users whose recent tweets contained "worldbank", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/8/2023 5:00:33 PM. The network was obtained from Twitter on Thursday, 09 March 2023 at 13:28 UTC.
The tweets in the network were tweeted over the 1436-day, 8-hour, 18-minute period from Tuesday, 02 April 2019 at 16:40 UTC to Thursday, 09 March 2023 at 00:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[336] world,bank [140] imfnews,worldbank [133] gender,equality [128] nepalese,government [128] government,known [128] known,largest [128] providing,technical [128] 2015,earthquake [128] program,providing [128] earthquake,reconstruction Top Word Pairs in Tweet in G1:
[111] rights,men [108] legal,rights [90] gender,equality [80] young,people [79] women,day [78] worldbank,group [78] international,women [76] world,bank [71] 14,countries [64] worldwide,women Top Word Pairs in Tweet in G2:
[51] ajay,banga [44] imfnews,worldbank [37] क,र [37] worldbank,imfnews [36] नव,ध [36] म,नव [36] ध,क [34] eu_justice,un4youth [34] nbcsnl,comedycentral [34] interpol_hq,un_oct Top Word Pairs in Tweet in G3:
[65] create,jobs [65] boost,african [65] incomes,create [65] increase,incomes [65] economies,increase [65] african,economies [64] hopeful,boost [64] victoriakwakwa,hopeful [64] blog,victoriakwakwa [62] worldbankafrica,blog Top Word Pairs in Tweet in G4:
[50] cad,trust [50] gtorrasvives,worldbank [49] blockchain,technology [48] specifically,blockchain [48] uses,distributed [48] technology,create [48] open,source [48] ledger,technology [48] source,data [48] system,uses Top Word Pairs in Tweet in G5:
[74] view,islamic [74] islamic,law [55] بسم,الله [55] الله,الرحمن [55] الرحمن,الرحيم [55] testament,portfolio [51] portfolio,view [39] #imf,#worldbank [37] law,#rusmiza [37] law,trust Top Word Pairs in Tweet in G6:
[125] known,largest [125] program,providing [125] providing,technical [125] government,known [125] reconstruction,program [125] earthquake,reconstruction [125] 2015,earthquake [125] largest,2015 [125] nepalese,government [124] sphfofficial,nepalese Top Word Pairs in Tweet in G7:
[6] potus,potus45 [6] klgates_appeals,divorcelawyer4u [5] cnn,fbi [4] elonmusk,#eagleone [4] barackobama,michelleobama [4] divorcelawyer4u,fbi [3] copyrightoffice,worldbank [3] billgates,potus45 [3] mike_pence,rudygiuliani [3] fbi,gifct_official Top Word Pairs in Tweet in G8:
[9] ukinsaudiarabia,bbcarabic [9] justintrudeau,euinarabic [9] euinarabic,unhumanrights [9] statedept,justintrudeau [9] unhumanrights,usainksa [8] usainksa,elonmusk [8] elonmusk,ukinsaudiarabia [7] bbcarabic,worldbank [5] dhabi,forcibly [5] registered,inunhcr Top Word Pairs in Tweet in G9:
[12] unocha,afdb_group [12] afdb_group,unicefafrica [12] unwomenafrica,undppa [12] unicef_auoffice,unwomenafrica [12] igadsecretariat,sadc_news [12] undppa,unocha [12] sadc_news,auc_paps [12] jumuiya,igadsecretariat [10] auyouthprogram,unicef_auoffice [10] unoau_,asstsecstateaf Top Word Pairs in Tweet in G10:
[4] wisermann,nowarforisrael [3] nowarforisrael,bhaktadasa [3] shannonbream,kimiversenshow [3] kimiversenshow,yulisha [3] danhanley4,franktse1 [3] greta,shannonfarren [3] johnwood20191,_whitneywebb [3] professor_foote,greta [3] bhaktadasa,professor_foote [3] nowarforisrael,sugarliberated 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 G6:
Top Replied-To in G7:
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: