The graph represents a network of 1,649 Twitter users whose recent tweets were included in a list (@bmj_latest - network) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Saturday, 20 June 2020 at 13:03 UTC.
The tweets in the network were tweeted over the 105-day, 15-hour, 21-minute period from Friday, 06 March 2020 at 19:40 UTC to Saturday, 20 June 2020 at 11:01 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 : 1649
Unique Edges : 2750
Edges With Duplicates : 5435
Total Edges : 8185
Self-Loops : 658
Reciprocated Vertex Pair Ratio : 0.223220226214238
Reciprocated Edge Ratio : 0.364971444112048
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1649
Maximum Edges in a Connected Component : 8185
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.996576
Graph Density : 0.00135305598568123
Modularity : 0.208048
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,649 Twitter users whose recent tweets were included in a list (@bmj_latest - network) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Saturday, 20 June 2020 at 13:03 UTC.
The tweets in the network were tweeted over the 105-day, 15-hour, 21-minute period from Friday, 06 March 2020 at 19:40 UTC to Saturday, 20 June 2020 at 11:01 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 : TwitterIDList
Graph Term : @bmj_latest - network
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 G2:
[1036] covid,19 [149] public,health [134] set,out [73] call,action [66] article,bmj_latest [66] black,minority [63] minority,ethnic [53] structural,racism [48] bearing,brunt [47] brunt,covid Top Word Pairs in Tweet in G3:
[18] covid,19 [5] 19,pandemic [5] south,korea [4] public,health [4] story,follow [4] follow,bmj_latest [4] editorial,bmj_latest [4] test,trace [3] trace,isolate [3] during,covid Top Word Pairs in Tweet in G4:
[21] covid,19 [7] public,health [5] health,observatory [5] race,health [4] ilonakickbusch,gmleunghku [4] food,industry [4] bmj_latest,#covid19 [4] racism,medicine [4] new,bmj_latest [4] bmj_latest,piece Top Word Pairs in Tweet in G5:
[28] healthcare,workers [11] bmj_latest,article [7] read,bmj_latest [6] mental,health [5] during,#covid19 [5] covid,19 [5] editor,chief [5] article,bmj_latest [4] moral,injury [4] pandemic,bmj_latest Top Word Pairs in Tweet in G6:
[9] bmj_latest,today [9] covid,19 [7] published,bmj_latest [5] study,published [5] experts,bmj_latest [5] finds,study [4] today,#covid19 [3] #covid19,#coronavirus [3] social,isolation [2] new,bmj_latest Top Word Pairs in Tweet in G7:
[20] income,countries [18] covid,19 [17] published,bmj_latest [8] watch,space [5] gender,equality [5] during,#covid19 [4] girls,women [4] health,warning [3] warning,labels [3] read,more Top Word Pairs in Tweet in G8:
[4] covid,19 [3] report,bmj_latest [2] bmj_latest,feature [2] coronavirus,pandemic [2] bmj_latest,story [2] magnifier,inequality [2] #covid19,patients [2] more,bmj_latest [2] preparing,#covid19 [2] story,bmj_latest Top Word Pairs in Tweet in G9:
[9] covid,19 [5] public,health [3] focus,public [3] nhs,charging [3] impact,covid [2] health,political [2] political,point [2] point,scoring [2] fph,miriamorcutt [2] miriamorcutt,annak_miller Top Word Pairs in Tweet in G10:
[5] covid,19 [4] bmj_latest,trishgreenhalgh [3] https,t [3] t,co [2] rapid,review [2] video,consultations [2] #covid19,bmj_latest [2] bmj_latest,kamleshkhunti [2] michaelmarmot,trishgreenhalgh [2] systematic,review Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: