The graph represents a network of 9,213 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, 05 June 2021 at 11:42 UTC.
The requested start date was Saturday, 05 June 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, 1-hour, 16-minute period from Tuesday, 01 June 2021 at 09:53 UTC to Thursday, 03 June 2021 at 11:09 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 : 9213
Unique Edges : 4484
Edges With Duplicates : 12688
Total Edges : 17172
Number of Edge Types : 5
Retweet : 5923
MentionsInRetweet : 7342
Replies to : 732
Tweet : 1352
Mentions : 1823
Self-Loops : 1427
Reciprocated Vertex Pair Ratio : 0.00894782233721432
Reciprocated Edge Ratio : 0.01773693770702
Connected Components : 1508
Single-Vertex Connected Components : 436
Maximum Vertices in a Connected Component : 3214
Maximum Edges in a Connected Component : 7547
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 10.303836
Graph Density : 0.000110274334832141
Modularity : 0.562779
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,213 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, 05 June 2021 at 11:42 UTC.
The requested start date was Saturday, 05 June 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, 1-hour, 16-minute period from Tuesday, 01 June 2021 at 09:53 UTC to Thursday, 03 June 2021 at 11:09 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:
[4119] public,health [475] covid,19 [420] mental,health [397] improve,health [396] used,improve [395] nhs,data [395] data,needs [395] needs,used [395] used,used [395] health,equalities Top Word Pairs in Tweet in G1:
[321] public,health [220] restaurant,owner [211] #abc730,very [211] very,disappointed [211] disappointed,see [211] see,restaurant [211] owner,given [211] given,much [211] much,airtime [211] airtime,express Top Word Pairs in Tweet in G2:
[383] nhs,data [383] data,needs [383] needs,used [383] used,used [383] used,improve [383] improve,health [383] health,equalities [383] equalities,throughout [383] throughout,world [383] world,used Top Word Pairs in Tweet in G3:
[329] public,health [49] covid,19 [36] mental,health [24] health,crisis [17] chemistry,modules [17] health,care [16] health,finance [16] calculus,geometry [15] health,measures [15] geometry,exams Top Word Pairs in Tweet in G4:
[171] public,health [88] #covid19,#lungdisease [86] health,england [83] #lungdisease,public [27] #g7,health [27] health,ministers [27] ministers,meeting [27] meeting,today [27] today,please [27] please,follow Top Word Pairs in Tweet in G5:
[267] health,secretary [267] secretary,matthancock [267] matthancock,breached [267] breached,ministerial [267] ministerial,code [267] code,declaring [267] declaring,firm [267] firm,run [267] run,sister [267] sister,brother Top Word Pairs in Tweet in G6:
[226] public,health [174] health,experts [170] trusts,public [169] don,see [169] see,anyone [169] anyone,trusts [169] experts,again [169] again,reading [169] reading,#fauciemails [168] cernovich,don Top Word Pairs in Tweet in G7:
[140] public,health [65] health,alert [63] further,venues [62] alert,further [61] nswhealth,public [44] design,australian [44] australian,public [44] health,campaign [44] campaign,gibbs [44] gibbs,1919 Top Word Pairs in Tweet in G8:
[88] public,health [15] health,agency [13] agency,canada [12] emergency,ontarians [12] ontarians,locked [12] locked,down [12] down,people [12] people,being [12] being,held [12] held,hostage Top Word Pairs in Tweet in G9:
[139] public,health [117] covid,19 [114] 19,public [113] really,quite [113] quite,livid [113] livid,exhausted [113] exhausted,stalwart [113] stalwart,minimization [113] minimization,importance [113] importance,covid Top Word Pairs in Tweet in G10:
[51] public,health [41] good,thing [41] thing,crisis [41] crisis,created [41] created,hundreds [41] hundreds,millions [41] millions,hobby [41] hobby,biologists [41] biologists,significantly [41] significantly,increased 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:
Top Tweeters in G1:
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Top Tweeters in G10: