The graph represents a network of 9 282 Twitter users whose recent tweets contained "#WorldAthleticsChampionships", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20 000 tweets, tweeted between 16.8.2023 15.52.21 and 23.8.2023 15.52.21. The network was obtained from Twitter on Wednesday, 23 August 2023 at 16:21 UTC.
The tweets in the network were tweeted over the 1800-day, 12-hour, 24-minute period from Tuesday, 18 September 2018 at 06:56 UTC to Wednesday, 23 August 2023 at 19:21 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 : 9282
Unique Edges : 9956
Edges With Duplicates : 5744
Total Edges : 15700
Number of Edge Types : 9
Retweet : 6362
MentionsInRetweet : 1027
Tweet : 5858
Quote : 478
Mentions : 1456
Replies to : 279
MentionsInQuote : 127
MentionsInReplyTo : 112
MentionsInQuoteReply : 1
Self-Loops : 6220
Reciprocated Vertex Pair Ratio : 0,00645855758880517
Reciprocated Edge Ratio : 0,0128342245989305
Connected Components : 2538
Single-Vertex Connected Components : 2157
Maximum Vertices in a Connected Component : 5786
Maximum Edges in a Connected Component : 10245
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6,131248
Graph Density : 9,76827288647136E-05
Modularity : 0,582198
NodeXL Version : 1.0.1.520
Data Import : The graph represents a network of 9 282 Twitter users whose recent tweets contained "#WorldAthleticsChampionships", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20 000 tweets, tweeted between 16.8.2023 15.52.21 and 23.8.2023 15.52.21. The network was obtained from Twitter on Wednesday, 23 August 2023 at 16:21 UTC.
The tweets in the network were tweeted over the 1800-day, 12-hour, 24-minute period from Tuesday, 18 September 2018 at 06:56 UTC to Wednesday, 23 August 2023 at 19:21 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 : TwitterSearch3
Graph Term : #WorldAthleticsChampionships
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1934] of,the [1542] in,the [1164] at,the [1039] the,women's [991] women's,100m [946] tobi,amusan [935] #budapest2023,#worldathleticschampionships [903] 100m,hurdles [846] heat,5 [843] in,12 Top Word Pairs in Tweet in G1:
[350] in,the [245] #worldathleticschampionships,#budapest2023 [216] #budapest2023,#worldathleticschampionships [149] at,the [134] of,the [122] for,the [120] the,#worldathleticschampionships [118] faith,kipyegon [109] to,the [109] what,a Top Word Pairs in Tweet in G2:
[784] tobi,amusan [780] 100m,hurdles [760] amusan,wins [755] the,women's [755] hurdles,in [754] in,12 [754] 12,48s [752] women's,100m [752] heat,5 [751] of,the Top Word Pairs in Tweet in G3:
[200] of,the [140] in,the [103] you,missed [103] everything,you [103] watch,everything [103] missed,day [101] rt,worldathletics [82] #worldathleticschampionships,#budapest2023 [73] #worldathleticschamps,#worldathleticschampionships [73] women's,100m Top Word Pairs in Tweet in G4:
[308] 10,000m [193] for,the [180] at,the [153] rt,bamulanzeki [149] in,the [140] the,10 [133] the,3rd [125] the,king [125] king,of [100] in,a Top Word Pairs in Tweet in G5:
[182] #worldathleticschampionships,#budapest2023 [161] rt,ferdiomanyala [154] ready,#worldathleticschampionships [154] #budapest2023,#sub970 [153] race,ready [152] ferdiomanyala,race [132] faith,kipyegon [79] of,the [71] in,budapest [63] in,the Top Word Pairs in Tweet in G6:
[251] at,the [250] the,world [248] richardson,wins [248] women,s [246] in,a [246] world,championships [246] s,100m [246] with,the [245] championships,#shacarri [245] fastest,time Top Word Pairs in Tweet in G7:
[307] #budapest2023,#worldathleticschampionships [269] del,mondo [268] campione,del [261] gianmarco,tamberi [244] #worldathleticschampionships,#worldathleticschamps [243] ha,vinto [242] vinto,tutto [242] tamberi,campione [241] mondo,ha [241] tutto,#budapest2023 Top Word Pairs in Tweet in G8:
[160] in,the [154] of,the [134] the,world [133] ciara,mageean [131] rt,hersportdotie [128] 4th,in [124] a,new [121] irish,record [121] new,irish [120] that,was Top Word Pairs in Tweet in G9:
[62] so,proud [58] proud,of [55] of,#worldathleticschampionships [54] bow,kjt [54] #worldathleticschampionships,#scouselegend [54] and,be [54] a,sporting [54] sporting,legend [54] legend,we [54] be,so Top Word Pairs in Tweet in G10:
[236] del,mundo [214] campeón,del [213] mundo,#worldathleticschampionships [212] alvaroatletismo,campeón [211] rt,alvaroatletismo [19] campeona,del [18] 20,km [17] km,marcha [15] de,20 [15] mundo,de 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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