The graph represents a network of 12,010 Twitter users whose recent tweets contained "#FreedomFlu", 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 Tuesday, 12 October 2021 at 17:21 UTC.
The tweets in the network were tweeted over the 11-hour, 57-minute period from Tuesday, 12 October 2021 at 05:00 UTC to Tuesday, 12 October 2021 at 16:57 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 : 12010
Unique Edges : 14978
Edges With Duplicates : 6039
Total Edges : 21017
Number of Edge Types : 5
Retweet : 15551
Tweet : 2057
MentionsInRetweet : 1798
Replies to : 932
Mentions : 679
Self-Loops : 2136
Reciprocated Vertex Pair Ratio : 0.000706759187869442
Reciprocated Edge Ratio : 0.00141252006420546
Connected Components : 919
Single-Vertex Connected Components : 704
Maximum Vertices in a Connected Component : 10730
Maximum Edges in a Connected Component : 19518
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.282098
Graph Density : 0.00010798867266425
Modularity : 0.556379
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,010 Twitter users whose recent tweets contained "#FreedomFlu", 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 Tuesday, 12 October 2021 at 17:21 UTC.
The tweets in the network were tweeted over the 11-hour, 57-minute period from Tuesday, 12 October 2021 at 05:00 UTC to Tuesday, 12 October 2021 at 16:57 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 : #FreedomFlu
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:
[5034] vaccine,mandates [2916] texas,banned [2916] banned,vaccine [2916] mandates,southwest [2916] southwest,headquartered [2916] headquartered,dallas [2915] first,#freedomflu [2914] dallas,blinks [2914] blinks,first [2068] mandates,#freedomflu Top Word Pairs in Tweet in G1:
[3956] vaccine,mandates [2258] first,#freedomflu [2257] texas,banned [2257] banned,vaccine [2257] mandates,southwest [2257] southwest,headquartered [2257] headquartered,dallas [2257] dallas,blinks [2257] blinks,first [1699] breaking,texas Top Word Pairs in Tweet in G2:
[1027] stand,america [1023] stand,freedom [1022] stand,choice [1022] choice,stand [1021] imagine,southwestair [1021] southwestair,chose [1021] chose,moment [1021] moment,stand [1021] stand,workers [1021] workers,stand Top Word Pairs in Tweet in G3:
[282] vaccine,mandates [260] #freedomflu,love [238] cops,blue [238] blue,flu [238] flu,pilots [238] pilots,air [238] air,crews [238] crews,#freedomflu [208] #freedomflu,#letsgobrandon [207] #letsgobrandon,#fjb Top Word Pairs in Tweet in G4:
[339] #freedomflu,trending [234] feel,freedom [231] #freedomflu,die [231] die,gasping [231] gasping,last [231] last,raggedy [231] raggedy,breath [231] breath,overcrowded [231] overcrowded,icu [231] icu,right Top Word Pairs in Tweet in G5:
[12] #freedomflu,#letsgobrandon [10] #letsgobrandon,#freedomflu [9] covid,19 [8] catch,#freedomflu [8] go,brandon [7] let's,go [7] #donotcomply,#freedomflu [6] vaccine,#freedomflu [6] #freedomflu,#novaccinemandates [6] #freedomflu,#donotcomply Top Word Pairs in Tweet in G6:
[545] air,traffic [544] fortitude,air [544] traffic,controllers [544] controllers,18 [544] 18,months [544] months,ago [544] ago,none [544] none,ve [544] ve,happened [544] happened,better Top Word Pairs in Tweet in G7:
[209] greg,abbott [122] #vaccinemandate,#freedomflu [99] abbott,shouldn [99] shouldn,force [99] force,people [99] people,texas [99] texas,covid [99] covid,vaccine [99] vaccine,body [99] body,choice Top Word Pairs in Tweet in G8:
[54] vaccine,mandates [35] texas,banned [35] banned,vaccine [35] mandates,southwest [35] southwest,headquartered [35] headquartered,dallas [35] dallas,blinks [35] blinks,first [35] first,#freedomflu [20] hours,later Top Word Pairs in Tweet in G9:
[116] terrific,insights [116] insights,#freedomflu [116] #freedomflu,work [116] work,stoppages [116] stoppages,southwest [116] southwest,air [116] air,businesses [116] businesses,getting [116] getting,started [116] started,comply Top Word Pairs in Tweet in G10:
[22] southwest,sick [22] sick,case [22] case,#freedomflu [19] jackposobiec,#freedomflu [15] #freedomflu,catching [15] catching,#kyrieirving [15] catturd2,#freedomflu [14] vaccine,mandates [13] #freedomflu,baby [9] baby,catch 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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Top Tweeters in G10: