The graph represents a network of 179 Twitter users whose recent tweets contained "theirworld", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Monday, 28 March 2022 at 15:47 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 33-minute period from Sunday, 20 March 2022 at 11:56 UTC to Monday, 28 March 2022 at 12:29 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 : 179
Unique Edges : 377
Edges With Duplicates : 360
Total Edges : 737
Number of Edge Types : 5
Mentions : 150
MentionsInRetweet : 407
Retweet : 154
Replies to : 14
Tweet : 12
Self-Loops : 14
Reciprocated Vertex Pair Ratio : 0,0350515463917526
Reciprocated Edge Ratio : 0,0677290836653386
Connected Components : 4
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 171
Maximum Edges in a Connected Component : 729
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,406477
Graph Density : 0,0157554453581068
Modularity : 0,325755
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 179 Twitter users whose recent tweets contained "theirworld", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Monday, 28 March 2022 at 15:47 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 33-minute period from Sunday, 20 March 2022 at 11:56 UTC to Monday, 28 March 2022 at 12:29 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 : TwitterSearch
Graph Term : theirworld
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:
[80] op,ed [78] wrecks,education [77] war,wreck [77] wreck,lives [77] lives,wrecks [66] refugee,children [65] central,response [65] response,suffering [65] suffering,war [63] 5m,refugee Top Word Pairs in Tweet in G1:
[62] op,ed [56] war,wreck [56] wreck,lives [56] lives,wrecks [56] wrecks,education [49] 5m,refugee [49] refugee,children [49] children,fled [49] fled,#ukraine [49] #ukraine,ensure Top Word Pairs in Tweet in G2:
[9] safe,place [8] global,education [8] education,crisis [8] child,right [8] place,learn [8] learn,including [8] including,girls [8] girls,young [8] young,women [8] women,theirworld Top Word Pairs in Tweet in G3:
[17] chair,sarahbrownuk [16] theirworld,chair [10] 260,million [10] million,children [9] sit,accept [9] accept,260 [9] children,school [7] chair,gbceducation [7] chair,theirworld [7] school,theirworld Top Word Pairs in Tweet in G4:
[15] op,ed [13] 5m,refugee [13] refugee,children [13] children,fled [13] fled,#ukraine [13] #ukraine,ensure [13] ensure,#education [13] #education,central [13] central,response [13] response,suffering Top Word Pairs in Tweet in G6:
[2] gbceducation,nodexl [2] nodexl,gbceducation [2] gbceducation,starrelliott [2] starrelliott,this0499154500 [2] this0499154500,chrisnft5 [2] chrisnft5,belia8venera [2] belia8venera,justinvanfleet [2] justinvanfleet,theirworld [2] theirworld,bbc5live [2] bbc5live,zarlashth Top Word Pairs in Tweet in G8:
[3] world,young [3] young,people [3] people,2030 [3] 2030,won [3] won,skills [3] skills,employment [3] employment,generate [3] generate,income [3] income,sarahbrownuk [3] sarahbrownuk,theirworld Top Word Pairs in Tweet in G9:
[2] zipcy8888,worldofwomennft [2] power,freedom 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 G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: