The graph represents a network of 4,100 Twitter users whose recent tweets contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 18:34 UTC.
The tweets in the network were tweeted over the 1923-day, 4-hour, 25-minute period from Tuesday, 31 October 2017 at 20:23 UTC to Monday, 06 February 2023 at 00:49 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 : 4100
Unique Edges : 3313
Edges With Duplicates : 11617
Total Edges : 14930
Number of Edge Types : 9
Retweet : 3915
MentionsInRetweet : 6489
Replies to : 435
MentionsInReplyTo : 2377
Mentions : 1112
Tweet : 433
Quote : 51
MentionsInQuote : 99
MentionsInQuoteReply : 19
Self-Loops : 679
Reciprocated Vertex Pair Ratio : 0.0120499632623071
Reciprocated Edge Ratio : 0.0238129809786554
Connected Components : 148
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 3572
Maximum Edges in a Connected Component : 13997
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.25288
Graph Density : 0.00040979655954159
Modularity : 0.370913
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,100 Twitter users whose recent tweets contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", 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 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 18:34 UTC.
The tweets in the network were tweeted over the 1923-day, 4-hour, 25-minute period from Tuesday, 31 October 2017 at 20:23 UTC to Monday, 06 February 2023 at 00:49 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 (environment OR climate OR warming OR ecological OR planet OR global)
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:
[416] world,bank [399] climate,change [292] global,economy [260] cubic,meters [258] gas,flared [258] 144,billion [258] natural,gas [257] flared,burned [257] burned,unproductively [257] meters,natural Top Word Pairs in Tweet in G1:
[222] global,economy [211] severely,affected [209] sindh,housing [209] sector,severely [209] housing,sector [209] flooding,support [209] affected,2022 [209] worldbank,sindh [209] support,worldbank [209] sindh,people's Top Word Pairs in Tweet in G2:
[110] climate,change [95] water,storage [94] address,global [93] global,water [92] storage,gap [87] juergen,voegele [83] mari_pangestu,sarojjha001 [78] sarojjha001,juergen [78] voegele,eileen [78] eileen,burke Top Word Pairs in Tweet in G3:
[98] climate,finance [54] climate,change [52] climate,action [43] international,public [43] finance,different [43] based,climate [43] public,climate [43] finance,read [43] different,international [43] results,based Top Word Pairs in Tweet in G4:
[257] natural,gas [257] meters,natural [257] burned,unproductively [257] gas,flared [257] billion,cubic [257] 144,billion [257] unproductively,year [257] world,bank [257] flared,burned [257] cubic,meters Top Word Pairs in Tweet in G5:
[236] #whistleblower,know [236] right,#federalreservenote [236] #worldbank,#whistleblower [236] going,right [236] #federalreservenote,#worldbank [236] know,recorded [235] digperspectives,going Top Word Pairs in Tweet in G6:
[64] denier,charge [60] charge,worldbank [60] climate,denier [60] failing,badly [59] worldbank,ceo [59] ceo,one [59] badly,#climateaction [59] world's,largest [59] largest,oil [59] one,world's Top Word Pairs in Tweet in G7:
[115] human,rights [87] people,suffering [87] ugandans,people [87] stopping,eacop [87] afpfr,conserve [87] suffering,totalenergies [87] conserve,environment [87] eacop,ugandans [87] environment,stopping [87] totalenergies,project Top Word Pairs in Tweet in G8:
[146] guarantees,help [145] help,build [145] roads,essential [145] build,upgrade [145] essential,global [145] #climate,adaptation [145] effort,guarantees [145] adaptation,effort [145] upgrade,resilient [145] global,#climate Top Word Pairs in Tweet in G9:
[68] globalgoalsun,unep [68] actaccelerator,minofhealthug [68] pahowho,g20org [68] minofhealthug,pahowho [68] drtedros,globalgoalsun [68] g20org,worldbank [68] unep,medspatentpool [68] medspatentpool,actaccelerator [37] worldbank,fifacom [17] leadership,led Top Word Pairs in Tweet in G10:
[9] worldbank,adb_hq [8] rashmibaruaecon,kalraghunathan [8] mygovindia,eduminofindia [8] bijurao,seema_econ [8] manekagandhibjp,down2earthindia [8] cgiar,iita_cgiar [8] drvandanashiva,manekagandhibjp [8] iimb_official,irmaofficial79 [8] barandbench,pmoindia [8] faoclimate,faostatistics 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 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: