The graph represents a network of 199 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, 07 March 2022 at 17:18 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 49-minute period from Sunday, 27 February 2022 at 11:24 UTC to Monday, 07 March 2022 at 15:14 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 : 199
Unique Edges : 581
Edges With Duplicates : 1276
Total Edges : 1857
Number of Edge Types : 5
Retweet : 289
MentionsInRetweet : 1371
Mentions : 165
Tweet : 27
Replies to : 5
Self-Loops : 29
Reciprocated Vertex Pair Ratio : 0,0421753607103219
Reciprocated Edge Ratio : 0,080937167199148
Connected Components : 10
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 184
Maximum Edges in a Connected Component : 1842
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,266525
Graph Density : 0,0238312776001218
Modularity : 0,252711
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 199 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, 07 March 2022 at 17:18 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 49-minute period from Sunday, 27 February 2022 at 11:24 UTC to Monday, 07 March 2022 at 15:14 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:
[161] 7pm,gmt [147] yasminesherif1,theirworld [139] march,7pm [128] down,barriers [128] barriers,facing [128] facing,girls [120] live,sarahbrownuk [119] bring,down [119] girls,march [97] theirworld,instagram Top Word Pairs in Tweet in G1:
[18] quality,education [16] skills,future [14] theirworld,stands [14] international,community [14] community,call [14] children,#ukraine [12] partners,international [12] child,best [12] best,start [12] start,life Top Word Pairs in Tweet in G2:
[81] 7pm,gmt [74] march,7pm [66] yasminesherif1,theirworld [57] down,barriers [57] barriers,facing [57] facing,girls [50] bring,down [50] girls,march [46] author,lorrainecandy [45] live,sarahbrownuk Top Word Pairs in Tweet in G3:
[78] yasminesherif1,theirworld [72] live,sarahbrownuk [71] 7pm,gmt [67] bring,down [67] down,barriers [67] barriers,facing [67] facing,girls [67] girls,march [57] march,7pm [53] theirworld,instagram Top Word Pairs in Tweet in G7:
[2] unfpaghana,malariaarmy [2] malariaarmy,theirworld [2] theirworld,ramoafo [2] ramoafo,derbenlive Top Word Pairs in Tweet in G8:
[6] substitutute,words [6] words,actions [6] actions,symbolism [6] symbolism,hashtags [6] hashtags,important [6] important,solidarity [6] solidarity,syrians [6] syrians,deter [6] deter,putin [6] putin,#savesyria Top Word Pairs in Tweet in G9:
[2] #8220,yemen [2] yemen,war [2] war,destroyed [2] destroyed,schools [2] schools,forced [2] forced,teachers [2] teachers,work [2] work,pay [2] pay,#8221 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 G7:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9: