The graph represents a network of 1,699 Twitter users whose recent tweets were included in a list (@jama_current - 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 21:21 UTC.
The tweets in the network were tweeted over the 155-day, 0-hour, 59-minute period from Friday, 17 January 2020 at 16:30 UTC to Saturday, 20 June 2020 at 17:30 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 : 1699
Unique Edges : 2988
Edges With Duplicates : 4801
Total Edges : 7789
Self-Loops : 1147
Reciprocated Vertex Pair Ratio : 0.247606019151847
Reciprocated Edge Ratio : 0.396929824561404
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1699
Maximum Edges in a Connected Component : 7789
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.996797
Graph Density : 0.0012645143578534
Modularity : 0.214573
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,699 Twitter users whose recent tweets were included in a list (@jama_current - 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 21:21 UTC.
The tweets in the network were tweeted over the 155-day, 0-hour, 59-minute period from Friday, 17 January 2020 at 16:30 UTC to Saturday, 20 June 2020 at 17:30 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 : @jama_current - 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:
[351] covid,19 [152] howard,bauchner [124] anthony,fauci [102] published,jama_current [88] new,jama_current [83] public,health [83] here's,link [77] jama_current,editor [74] #covid19,pandemic [73] 19,pandemic Top Word Pairs in Tweet in G3:
[54] krchhabra,jdimick1 [22] out,network [19] drmcecconi,jama_current [16] never,never [15] patient,page [12] paper,jama_current [11] new,jama_current [11] critical,care [11] lombardy,italy [10] thank,jama_current Top Word Pairs in Tweet in G4:
[4] covid,19 [4] et,jama_current [4] randomized,clinical [4] clinical,trials [3] trials,covid [3] 19,managing [3] managing,expectations [3] #2019ncov,#covid19 [3] jama_current,us_fda [3] #cureid,app Top Word Pairs in Tweet in G5:
[7] jama_current,study [5] new,jama_current [4] covid,19 [3] polysocial,risk [3] innovative,idea [3] special,needs [3] study,finds [3] 1,3 [2] critically,ill [2] over,time Top Word Pairs in Tweet in G6:
[4] thousand,words [4] covid,19 [3] cardiac,injury Top Word Pairs in Tweet in G7:
[2] piece,mind [2] donberwick,jama_current [2] 40,years [] new,normal [] health,care [] determinants,health [] virtual,care [] african,americans [] thank,jama_current [] open,access Top Word Pairs in Tweet in G8:
[4] #jamalive,youtube [4] coronavirus,italy [3] jama_current,#viewpoint [3] #viewpoint,looks [3] italy,report [3] report,front [2] front,lines [2] lines,#jamalive [2] jama_current,article [2] youtube,live Top Word Pairs in Tweet in G9:
[6] public,health [5] civil,liberties [4] digital,smartphone [4] smartphone,tracking [4] covid,19 [4] health,civil [4] lawrencegostin,djweitzner [4] tracking,covid [3] jama_current,cohenprof [3] lawrencegostin,jghodgejr Top Word Pairs in Tweet in G10:
[6] health,care [5] jama_current,#covid19 [4] health,policy [4] editors,jzayanian [4] jzayanian,melindabbuntin [4] fatality,rates [3] #covid19,#coronavirus [3] many,kids [3] kids,dead [3] live,q Top Replied-To in Entire Graph:
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Top Replied-To in G4:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
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Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: