The graph represents a network of 9,556 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, 28 November 2020 at 12:50 UTC.
The requested start date was Saturday, 28 November 2020 at 01:01 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, 25 November 2020 at 02:57 UTC to Friday, 27 November 2020 at 03:29 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 : 9556
Unique Edges : 4582
Edges With Duplicates : 12517
Total Edges : 17099
Number of Edge Types : 5
Mentions : 2004
Retweet : 5849
MentionsInRetweet : 6736
Replies to : 967
Tweet : 1543
Self-Loops : 1575
Reciprocated Vertex Pair Ratio : 0.00618623833297157
Reciprocated Edge Ratio : 0.0122964081544601
Connected Components : 1560
Single-Vertex Connected Components : 465
Maximum Vertices in a Connected Component : 4805
Maximum Edges in a Connected Component : 10221
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.414338
Graph Density : 0.000101535929437622
Modularity : 0.562435
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,556 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, 28 November 2020 at 12:50 UTC.
The requested start date was Saturday, 28 November 2020 at 01:01 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, 25 November 2020 at 02:57 UTC to Friday, 27 November 2020 at 03:29 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:
[5514] public,health [589] white,people [587] black,people [586] sicker,died [586] died,younger [586] younger,white [586] single,year [586] year,founding [585] people,gotten [585] gotten,sicker Top Word Pairs in Tweet in G1:
[568] black,people [568] people,gotten [568] gotten,sicker [568] sicker,died [568] died,younger [568] younger,white [568] white,people [568] people,single [568] single,year [568] year,founding Top Word Pairs in Tweet in G2:
[441] public,health [57] covid,19 [45] essays,due [40] health,officials [32] pay,math [32] chemistry,statistics [32] statistics,essays [30] health,#exams [29] #calculus,exams [29] exams,chemistry Top Word Pairs in Tweet in G3:
[257] public,health [68] covid,19 [57] jason,kenney [43] health,emergency [38] health,measures [33] come,clean [31] ve,involved [31] involved,conducting [31] conducting,public [31] public,opinion Top Word Pairs in Tweet in G4:
[258] public,health [69] covid,19 [51] auditor,general [29] doug,ford [26] health,safety [26] health,officials [24] general,physician [24] physician,office [24] office,reached [24] reached,many Top Word Pairs in Tweet in G5:
[322] public,health [162] health,warnings [162] warnings,don [162] don,travel [162] travel,thanksgiving [162] thanksgiving,holidays [161] holidays,americans [161] americans,hold [161] hold,beer [161] beer,#covid19 Top Word Pairs in Tweet in G6:
[328] public,health [319] health,experts [316] empower,public [315] ossoff,empower [7] galatians,13 [7] 13,god [7] god,chose [7] chose,free [7] free,don [7] don,use Top Word Pairs in Tweet in G7:
[112] public,health [44] health,guidelines [42] church,asks [42] asks,parishioners [42] parishioners,break [42] break,public [42] guidelines,church [42] church,business [42] business,looking [41] waytowichneil,church Top Word Pairs in Tweet in G8:
[127] public,health [70] roman,catholic [70] catholic,diocese [68] diocese,brooklyn [68] brooklyn,filed [68] filed,suit [68] suit,asking [68] asking,court [68] court,lift [68] lift,york's Top Word Pairs in Tweet in G9:
[132] public,health [118] today,promoted [118] promoted,associate [118] associate,professor [118] professor,columbia [118] columbia,university [118] university,medical [118] medical,public [118] health,schools [118] schools,guessing Top Word Pairs in Tweet in G10:
[127] public,health [65] county,supervisors [64] three,county [64] supervisors,unelected [64] unelected,public [64] health,director [64] director,medical [64] medical,doctor [64] doctor,pushing [64] pushing,forward 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: