The graph represents a network of 9,698 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, 04 June 2022 at 11:58 UTC.
The requested start date was Saturday, 04 June 2022 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, 2-hour, 27-minute period from Wednesday, 01 June 2022 at 08:40 UTC to Friday, 03 June 2022 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 : 9698
Unique Edges : 5724
Edges With Duplicates : 12233
Total Edges : 17957
Number of Edge Types : 5
Retweet : 5580
MentionsInRetweet : 7404
Tweet : 1581
Replies to : 882
Mentions : 2510
Self-Loops : 1644
Reciprocated Vertex Pair Ratio : 0.0140047675804529
Reciprocated Edge Ratio : 0.0276226858654129
Connected Components : 1817
Single-Vertex Connected Components : 568
Maximum Vertices in a Connected Component : 3793
Maximum Edges in a Connected Component : 8861
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 10.277703
Graph Density : 0.000108558448649259
Modularity : 0.589802
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,698 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, 04 June 2022 at 11:58 UTC.
The requested start date was Saturday, 04 June 2022 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, 2-hour, 27-minute period from Wednesday, 01 June 2022 at 08:40 UTC to Friday, 03 June 2022 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:
[4882] public,health [529] health,crisis [344] destruction,public [340] used,massacres [340] massacres,rape [340] rape,starvation [340] starvation,looting [340] looting,destruction [340] public,infrastructures [340] infrastructures,hospitals Top Word Pairs in Tweet in G1:
[443] public,health [39] mental,health [38] covid,19 [27] health,emergency [24] health,crisis [22] health,care [16] health,system [16] helpline,800 [16] 800,273 [11] health,experts Top Word Pairs in Tweet in G2:
[170] public,health [39] isn,over [37] albomp,glad [37] glad,recognise [37] recognise,pandemic [37] pandemic,certainly [37] certainly,isn [37] over,great [37] great,start [37] start,please Top Word Pairs in Tweet in G3:
[184] public,health [64] zeitgeist,shifting [64] shifting,rapidly [64] rapidly,beyond [64] beyond,capacity [64] capacity,public [64] health,induce [64] induce,fear [64] fear,next [64] next,come Top Word Pairs in Tweet in G4:
[85] congratulations,mexican [85] mexican,president [85] president,lopezobrador_ [85] lopezobrador_,received [85] received,#worldnotobaccoday [85] #worldnotobaccoday,award [85] award,prohibiting [84] mikebloomberg,congratulations [72] public,health [48] free,online Top Word Pairs in Tweet in G5:
[172] public,health [160] bill,gates [160] gates,doctor [160] doctor,public [160] health,expert [160] expert,infectious [160] infectious,disease [160] disease,researcher [160] researcher,epidemiologist [158] liz_churchill_,bill Top Word Pairs in Tweet in G6:
[104] public,health [98] breaking,baltimore [98] baltimore,files [98] files,lawsuit [98] lawsuit,against [98] against,ghost [98] ghost,gun [98] gun,manufacturer [98] manufacturer,polymer80 [98] polymer80,inc Top Word Pairs in Tweet in G7:
[173] public,health [39] crisis,public [39] health,leaders [39] leaders,step [39] step,speak [36] cost,living [36] health,crisis [34] editorial,cost [34] living,avoidable [34] avoidable,public Top Word Pairs in Tweet in G8:
[235] public,health [77] health,response [75] response,personal [75] personal,responsibility [74] drrupamarya,public [74] responsibility,feel [74] feel,badly [74] badly,students [74] students,public [74] health,looking Top Word Pairs in Tweet in G9:
[182] going,again [182] again,determined [182] determined,public [182] public,health [182] health,piece [182] piece,artist [182] artist,lost [182] lost,world [182] world,print [181] wholesomememe,going Top Word Pairs in Tweet in G10:
[338] used,massacres [338] massacres,rape [338] rape,starvation [338] starvation,looting [338] looting,destruction [338] destruction,public [338] public,infrastructures [338] infrastructures,hospitals [338] hospitals,schools [308] ethiopia,used Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: