The graph represents a network of 8,392 Twitter users whose recent tweets contained "#publichealth", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 25 June 2021 at 21:11 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 6-minute period from Thursday, 17 June 2021 at 05:11 UTC to Friday, 25 June 2021 at 20:18 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 : 8392
Unique Edges : 14306
Edges With Duplicates : 5224
Total Edges : 19530
Number of Edge Types : 5
Retweet : 5957
MentionsInRetweet : 6843
Tweet : 2629
Replies to : 406
Mentions : 3695
Self-Loops : 2775
Reciprocated Vertex Pair Ratio : 0.028943661971831
Reciprocated Edge Ratio : 0.0562589829580453
Connected Components : 1038
Single-Vertex Connected Components : 475
Maximum Vertices in a Connected Component : 5617
Maximum Edges in a Connected Component : 15951
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.541162
Graph Density : 0.000207491707432233
Modularity : 0.691003
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,392 Twitter users whose recent tweets contained "#publichealth", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 25 June 2021 at 21:11 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 6-minute period from Thursday, 17 June 2021 at 05:11 UTC to Friday, 25 June 2021 at 20:18 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 : TwitterSearch
Graph Term : #publichealth
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:
[950] public,health [462] covid,19 [302] #publichealth,measures [300] ग,ध [300] ध,म [300] म,फ [300] फ,म [300] म,ग [292] อ,hiv [292] ต,ดเช Top Word Pairs in Tweet in G1:
[241] public,health [158] covid,19 [107] #covid19,#publichealth [103] #covid,19 [95] 19,#coronavirus [61] staff,care [61] care,#job [58] #healthcare,#staffing [55] #patientcare,#healthcare [55] #staffing,#healthcaremanagement Top Word Pairs in Tweet in G2:
[66] public,health [33] covid,19 [17] learn,more [15] #healthcare,#publichealth [13] #health,#publichealth [10] #covid19,#publichealth [9] #publichealth,#health [9] #publichealth,measures [8] health,care [8] #globalhealth,#publichealth Top Word Pairs in Tweet in G3:
[211] #publichealth,measures [206] roadmap,reopen [200] getting,vaccinated [172] following,#publichealth [167] move,step [166] step,two [165] public,health [164] two,roadmap [164] reopen,june [163] june,30 Top Word Pairs in Tweet in G4:
[26] #vaccineswork,#publichealth [24] interested,improving [24] improving,#publichealth [24] #publichealth,pandemic [24] #healthpromotion,#publichealth [23] pandemic,communications [17] 4pm,aest [17] aest,today [17] #croakeyread,twitter [17] twitter,festival Top Word Pairs in Tweet in G5:
[42] covid,19 [42] #chronicillness,#nutrition [40] #medicalmedium,#inspiration [40] #inspiration,#wellness [40] #healthyfood,#publichealth [39] #nutrition,#healthyfood [36] #health,#plantbased [34] #wellness,#chronicillness [32] #healing,#vegan [32] hphr,fellow Top Word Pairs in Tweet in G6:
[298] ग,ध [298] ध,म [298] म,फ [298] फ,म [298] म,ग [280] whole,world [280] world,recognising [280] recognising,concept [280] concept,#onehealth [280] #onehealth,important Top Word Pairs in Tweet in G7:
[14] session,#ilc2021 [13] public,health [13] today,celebrate [13] celebrate,north [13] north,america [13] america,first [13] first,#indigenous [13] #indigenous,doctor [13] doctor,1866 [13] 1866,queen Top Word Pairs in Tweet in G8:
[27] #h5n8,#avianinfluenza [27] #avianinfluenza,#ah5n8 [27] #outbreaks,#publichealth [24] ecdc_tb,ecdc_outbreaks [24] ecdc_outbreaks,who_europe_tb [24] who_europe_tb,stoptb [24] stoptb,masouddara [24] masouddara,giokuchu [24] giokuchu,qmul [24] qmul,mvankerkhove Top Word Pairs in Tweet in G9:
[83] guidelines,link [83] link,#passport [83] #passport,#covid19 [83] #covid19,#vaccination [83] #vaccination,certificate [83] certificate,#international [83] #international,travellers [83] travellers,#publichealth [83] #publichealth,#nri [83] #nri,#covishield Top Word Pairs in Tweet in G10:
[292] อ,hiv [292] ต,ดเช [146] ไทยเจ,งระด [146] งระด,บโลก [146] บโลก,ลดเช [146] ลดเช,อ [146] hiv,ซ [146] ซ,ฟ [146] ฟ,ล [146] ล,สจากแม Top Replied-To in Entire Graph:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
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Top Tweeters in G10: