The graph represents a network of 9,778 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, 10 April 2021 at 11:42 UTC.
The requested start date was Saturday, 10 April 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 2-day, 0-hour, 31-minute period from Wednesday, 07 April 2021 at 11:45 UTC to Friday, 09 April 2021 at 12:16 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 : 9778
Unique Edges : 4998
Edges With Duplicates : 12362
Total Edges : 17360
Number of Edge Types : 5
Retweet : 5898
MentionsInRetweet : 7207
Tweet : 1775
Mentions : 1896
Replies to : 584
Self-Loops : 1833
Reciprocated Vertex Pair Ratio : 0.00705429670799487
Reciprocated Edge Ratio : 0.0140097643812354
Connected Components : 1893
Single-Vertex Connected Components : 588
Maximum Vertices in a Connected Component : 3321
Maximum Edges in a Connected Component : 7300
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 8.963409
Graph Density : 9.85569946355162E-05
Modularity : 0.571934
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,778 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, 10 April 2021 at 11:42 UTC.
The requested start date was Saturday, 10 April 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 2-day, 0-hour, 31-minute period from Wednesday, 07 April 2021 at 11:45 UTC to Friday, 09 April 2021 at 12:16 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:
[4654] public,health [555] covid,19 [448] february,14 [448] 14,2018 [448] 2018,daughter [448] daughter,jaime [448] jaime,murdered [448] murdered,parkland [448] parkland,school [448] school,shooting Top Word Pairs in Tweet in G1:
[431] february,14 [431] 14,2018 [431] 2018,daughter [431] daughter,jaime [431] jaime,murdered [431] murdered,parkland [431] parkland,school [431] school,shooting [431] shooting,jaime [429] fred_guttenberg,february Top Word Pairs in Tweet in G2:
[508] public,health [84] covid,19 [33] lab,report [30] psychology,essays [30] macroeconomics,lab [28] pay,psychology [28] business,macroeconomics [27] health,crisis [27] essays,due [25] declares,racism Top Word Pairs in Tweet in G3:
[176] public,health [32] dr,loh [28] health,measures [23] health,units [19] third,wave [15] #isupportdrlawrenceloh,trending [15] trending,copy [15] copy,paste [15] paste,hashtag [15] hashtag,show Top Word Pairs in Tweet in G4:
[253] ประกาศล,าส [253] าส,ด [253] ด,สร [253] สร,ป [253] ป,ว [253] ว,คซ [253] คซ,น [253] น,astrazeneca [253] astrazeneca,เช [253] เช,อมโยงก Top Word Pairs in Tweet in G5:
[216] public,health [150] ahem,martyn [150] martyn,iles [150] iles,federal [150] federal,governments [150] governments,didn [150] didn,consider [150] consider,endometriosis [150] endometriosis,stillbirth [150] stillbirth,public Top Word Pairs in Tweet in G6:
[206] bwelldrinks,certified [206] certified,fda [206] fda,ministry [206] ministry,public [206] public,health [206] health,well [206] well,being [206] being,certified [206] certified,clean [206] clean,hygienic Top Word Pairs in Tweet in G7:
[123] public,health [75] health,threat [70] racism,serious [68] serious,public [57] declares,racism [56] cdc,director [55] director,declares [26] thehill,cdc [17] #breaking,cdc [16] thehill,#breaking Top Word Pairs in Tweet in G8:
[76] public,health [11] politicising,important [11] important,public [11] health,issue [11] issue,#covid19 [11] #covid19,spreading [11] spreading,panic [11] panic,regarding [11] regarding,vaccine [11] vaccine,supply Top Word Pairs in Tweet in G9:
[322] million,day [161] forget,vaccinating [161] vaccinating,million [161] day,brazil [161] brazil,once [161] once,18 [161] 18,million [161] day,polio [161] polio,brazil [161] brazil,needs Top Word Pairs in Tweet in G10:
[107] public,health [96] health,state [96] state,subject [96] subject,states [96] states,bypassed [96] bypassed,right [96] right,vaccine [96] vaccine,procurement [96] procurement,registration [95] incindia,public Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: