The graph represents a network of 17,053 Twitter users whose recent tweets contained "died suddenly", 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 Thursday, 26 January 2023 at 21:36 UTC.
The tweets in the network were tweeted over the 2-day, 11-hour, 19-minute period from Tuesday, 24 January 2023 at 09:32 UTC to Thursday, 26 January 2023 at 20:51 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 : 17375
Unique Edges : 22882
Edges With Duplicates : 70597
Total Edges : 93479
Number of Edge Types : 5
Mentions : 62277
Replies to : 9120
Tweet : 5735
Retweet : 13938
MentionsInRetweet : 2409
Self-Loops : 5797
Reciprocated Vertex Pair Ratio : 0.067829905246129
Reciprocated Edge Ratio : 0.12704252786495
Connected Components : 1560
Single-Vertex Connected Components : 696
Maximum Vertices in a Connected Component : 13691
Maximum Edges in a Connected Component : 82170
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.479242
Graph Density : 9.18365572305595E-05
Modularity : 0.263303
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 17,053 Twitter users whose recent tweets contained "died suddenly", 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 Thursday, 26 January 2023 at 21:36 UTC.
The tweets in the network were tweeted over the 2-day, 11-hour, 19-minute period from Tuesday, 24 January 2023 at 09:32 UTC to Thursday, 26 January 2023 at 20:51 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 : died suddenly
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[17209] died,suddenly [3738] luke,abrahams [2565] gabriel,jungmann [2349] suddenly,early [2348] monday,morning [2317] footballer,died [2316] abrahams,20 [2315] healthy,northampton [2315] early,monday [2315] 20,healthy Top Word Pairs in Tweet in G1:
[2907] died,suddenly [1771] luke,abrahams [1766] monday,morning [1765] suddenly,early [1739] early,monday [1739] abrahams,20 [1739] breaking,luke [1739] 20,healthy [1739] northampton,footballer [1739] footballer,died Top Word Pairs in Tweet in G2:
[4331] died,suddenly [1457] luke,abrahams [1373] gabriel,jungmann [1327] died,sleep [1323] cardiac,event [1313] foxnews,died [1312] last,week [1312] 20,last [1310] abrahams,died [1310] rachel,morgan Top Word Pairs in Tweet in G3:
[1596] died,suddenly [1037] year,old [1003] gabriel,jungmann [1003] 20,year [1002] collapsed,despite [1002] old,student [1002] dorm,shower [1002] gabriel,found [1002] water,coronor [1002] coronor,died Top Word Pairs in Tweet in G4:
[865] died,suddenly [119] people,died [111] elonmusk,scottadamssays [89] young,people [73] excess,deaths [70] paying,attention [68] newfound,experts [68] abuse,obesity [68] more,ago [68] trend,weren Top Word Pairs in Tweet in G5:
[1141] died,suddenly [306] nobody,died [301] suddenly,murdered [163] spend,childhood [163] easy,access [163] childhood,70 [163] kid,confused [163] blessed,spend [163] porn,wonder [163] 80,never Top Word Pairs in Tweet in G6:
[459] died,suddenly [66] suddenly,died [30] year,old [28] 'died,suddenly' [26] covid,19 [19] people,died [14] heart,attack [14] conspiracy,theory [13] suddenly,covid [12] gut,wrenching Top Word Pairs in Tweet in G7:
[889] died,suddenly [423] baby,died [423] old,baby [423] six,month [423] vaccines,eua [423] gene,therapy [423] trade,big [423] one,time [423] pharma,one [423] bioweapon,one Top Word Pairs in Tweet in G8:
[418] died,suddenly [184] dying,suddenly [180] breathe,died [180] answers,vaccine [180] suddenly,silk [180] horrible,watch [180] healthy,americans [180] happening,healthy [180] vaccine,sister [180] keep,happening Top Word Pairs in Tweet in G9:
[19] died,suddenly [18] jamesbflorida,synchro2021 [7] alexanderpuzza1,jamesbflorida [7] lynnloera,jamesbflorida [3] safe,effective [3] blog,slamming [3] bitemefuker,bitemecommies [3] aus_spirit,asiantigersjp [3] greylady45,19alb97 [3] last,week Top Word Pairs in Tweet in G10:
[498] died,suddenly [92] young,people [87] people,died [85] suddenly,heart [82] many,people [78] jail,first [78] heart,blood [78] clot,issues [78] mind,many [78] people,suddenly Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: