The graph represents a network of 10,363 Twitter users whose tweets in the requested range contained "public health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 November 2021 at 11:43 UTC.
The requested start date was Saturday, 06 November 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 1-hour, 51-minute period from Tuesday, 02 November 2021 at 09:15 UTC to Friday, 05 November 2021 at 11:07 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 : 10363
Unique Edges : 5893
Edges With Duplicates : 11323
Total Edges : 17216
Number of Edge Types : 5
Replies to : 1008
Mentions : 2588
Tweet : 1754
Retweet : 5294
MentionsInRetweet : 6572
Self-Loops : 1816
Reciprocated Vertex Pair Ratio : 0.0110491532424618
Reciprocated Edge Ratio : 0.0218568072719845
Connected Components : 2190
Single-Vertex Connected Components : 648
Maximum Vertices in a Connected Component : 3336
Maximum Edges in a Connected Component : 7156
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 10.836939
Graph Density : 9.11796591674354E-05
Modularity : 0.599957
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,363 Twitter users whose tweets in the requested range contained "public health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 November 2021 at 11:43 UTC.
The requested start date was Saturday, 06 November 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 1-hour, 51-minute period from Tuesday, 02 November 2021 at 09:15 UTC to Friday, 05 November 2021 at 11:07 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 : GraphServerTwitterSearch
Graph Term : public health
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:
[4681] public,health [425] covid,19 [237] climate,change [208] epidemiology,public [205] major,epidemiology [202] fauci,major [198] health,questions [198] questions,wrong [198] wrong,reality [163] dr,fauci Top Word Pairs in Tweet in G1:
[511] public,health [91] covid,19 [40] mental,health [27] health,measures [22] helpline,800 [22] 800,273 [21] ø,ù [18] 19,pandemic [17] health,crisis [15] health,crises Top Word Pairs in Tweet in G2:
[204] public,health [141] major,epidemiology [141] epidemiology,public [141] health,questions [141] questions,wrong [141] wrong,reality [141] reality,scientific [141] scientific,studies [138] unfortunately,dr [138] dr,fauci Top Word Pairs in Tweet in G3:
[71] public,health [60] climate,change [41] health,climate [39] climate,people [39] people,made [39] made,super [39] super,helpful [39] helpful,overview [39] overview,events [39] events,related Top Word Pairs in Tweet in G4:
[96] public,health [40] cases,children [20] ºðÿ,usa [20] usa,10 [20] 10,cases [20] children,ªireland [20] ªireland,25 [20] 25,cases [20] children,due [20] due,different Top Word Pairs in Tweet in G5:
[139] public,health [74] chucked,parliament [74] parliament,wearing [74] wearing,jacket [74] jacket,tie [74] tie,wonâ [74] wonâ,wear [74] wear,mask [74] mask,recommended [74] recommended,public Top Word Pairs in Tweet in G6:
[111] health,secretary [62] secretary,sajid [62] sajid,javid [62] javid,ukhsa [62] ukhsa,put [62] put,public [62] public,danger [62] danger,failed [62] failed,monitor [62] monitor,safety Top Word Pairs in Tweet in G7:
[154] doctors,nurses [153] pandemic,desperately [151] unvaccinated,frontline [151] frontline,doctors [151] nurses,fired [151] fired,uk [151] uk,pandemic [151] desperately,hire [150] drelidavid,unvaccinated [150] hire,manyâ Top Word Pairs in Tweet in G8:
[113] 100,000 [113] 000,year [112] pretty,silly [112] silly,randox [112] randox,pay [112] pay,owen [112] owen,paterson [112] paterson,100 [112] year,turns [112] turns,happy Top Word Pairs in Tweet in G9:
[91] public,health [11] health,teams [10] editor's,award [9] directors,public [9] climate,change [8] finally,hope [8] hope,raises [8] raises,ambitions [8] ambitions,first [8] first,time Top Word Pairs in Tweet in G10:
[93] public,health [43] health,policies [40] election,referendum [40] referendum,public [40] policies,mandates [40] mandates,imposed [40] imposed,upon [40] upon,country [40] country,democrats [39] rwmalonemd,election 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: