The graph represents a network of 241 Twitter users whose recent tweets contained "#ThisIsPublicHealth", 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 Monday, 25 November 2019 at 11:11 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 14-minute period from Saturday, 16 November 2019 at 02:26 UTC to Monday, 25 November 2019 at 09:40 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 : 241
Unique Edges : 410
Edges With Duplicates : 138
Total Edges : 548
Self-Loops : 48
Reciprocated Vertex Pair Ratio : 0.0846153846153846
Reciprocated Edge Ratio : 0.156028368794326
Connected Components : 46
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 88
Maximum Edges in a Connected Component : 333
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.001032
Graph Density : 0.00731327800829876
Modularity : 0.614414
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 241 Twitter users whose recent tweets contained "#ThisIsPublicHealth", 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 Monday, 25 November 2019 at 11:11 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 14-minute period from Saturday, 16 November 2019 at 02:26 UTC to Monday, 25 November 2019 at 09:40 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 : #ThisIsPublicHealth
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[118] public,health [48] #thisispublichealth,#eph2019 [20] ephconference,2019 [18] health,without [17] #publichealth,#thisispublichealth [16] health,community [15] school,public [14] present,ephconference [14] 2019,recognising [14] recognising,rich Top Word Pairs in Tweet in G1:
[61] public,health [41] #thisispublichealth,#eph2019 [18] ephconference,2019 [15] health,community [15] health,without [13] present,ephconference [13] 2019,recognising [13] recognising,rich [13] rich,european [13] european,culture Top Word Pairs in Tweet in G2:
[2] offering,free [2] free,menstrual [2] menstrual,products [2] products,increases [2] increases,school [2] school,attendance [2] attendance,amongst [2] amongst,girls [2] girls,2 [2] 2,4 Top Word Pairs in Tweet in G3:
[3] public,health [2] treatment,#thisispublichealth Top Word Pairs in Tweet in G4:
[9] mph,students [9] public,health [9] oregon,state [8] happening,today [8] start,chatting [5] learn,more [5] virtual,fair [5] master,public [5] health,oregon [5] 100,online Top Word Pairs in Tweet in G5:
[6] #thisispublichealth,#eph2019 [4] #thisispublichealth,great [4] great,initiative [4] initiative,european [4] european,friebds [4] friebds,follow [4] follow,tiph_europe [4] public,health [4] #2pac,snoopdogg [4] snoopdogg,infamously Top Word Pairs in Tweet in G6:
[6] 24,new [4] more,information [4] new,#publichealth [4] #publichealth,graduates [4] graduates,15 [4] 15,msc [4] msc,9 [4] 9,mph [4] mph,cross [4] cross,stage Top Word Pairs in Tweet in G7:
[6] markruffalo,raising [6] raising,awareness [6] awareness,pfas [6] pfas,pfoa [6] pfoa,contamination [6] contamination,promoting [6] promoting,darkwatersmovie [6] darkwatersmovie,#thisispublichealth [6] #thisispublichealth,#environmentaljustice Top Word Pairs in Tweet in G8:
[2] people,always [2] always,ask [2] ask,#thisispublichealth [2] #thisispublichealth,tbdhealthunit [2] tbdhealthunit,mlhealthunit [2] mlhealthunit,topublichealth [2] topublichealth,phagencies [2] phagencies,keithegli [2] keithegli,healthmac Top Word Pairs in Tweet in G9:
[7] ualbany,longer [7] longer,requires [7] requires,gre [7] gre,standardized [7] standardized,test [7] test,admission [7] admission,master [7] master,public [7] public,health [7] health,mph Top Word Pairs in Tweet in G10:
[14] public,health [12] school,public [10] uthealth,school [6] uthealth,uthealth [4] meet,friend [4] friend,sitara [4] sitara,weerakoon [4] weerakoon,mph [4] mph,phd [4] phd,student Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: