The graph represents a network of 7,146 Twitter users whose tweets in the requested range contained "jama_current", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 October 2021 at 11:05 UTC.
The requested start date was Saturday, 09 October 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 38-day, 12-hour, 7-minute period from Tuesday, 31 August 2021 at 08:23 UTC to Friday, 08 October 2021 at 20:31 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 : 7146
Unique Edges : 10362
Edges With Duplicates : 16811
Total Edges : 27173
Number of Edge Types : 5
Mentions : 11828
Retweet : 4370
MentionsInRetweet : 9460
Replies to : 1435
Tweet : 80
Self-Loops : 227
Reciprocated Vertex Pair Ratio : 0.0342233458716162
Reciprocated Edge Ratio : 0.0661817314571906
Connected Components : 67
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 6925
Maximum Edges in a Connected Component : 26889
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.983597
Graph Density : 0.000328488075463731
Modularity : 0.443582
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,146 Twitter users whose tweets in the requested range contained "jama_current", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 October 2021 at 11:05 UTC.
The requested start date was Saturday, 09 October 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 38-day, 12-hour, 7-minute period from Tuesday, 31 August 2021 at 08:23 UTC to Friday, 08 October 2021 at 20:31 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 : jama_current
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:
[1042] jama_current,part [895] part,jamanetwork [615] covid,19 [378] health,care [369] antibody,response [358] jama_current,study [347] care,workers [332] response,vaccines [332] vaccines,gt [332] gt,1600 Top Word Pairs in Tweet in G1:
[321] jama_current,study [193] jama_current,part [193] 2021,83 [192] blood,supply [191] another,measure [191] measure,delta's [191] delta's,superpowers [191] superpowers,jama_current [191] study,blood [191] supply,estimates Top Word Pairs in Tweet in G2:
[671] jama_current,part [648] part,jamanetwork [248] covid,19 [170] jama_current,jamanetwork [145] convalescent,plasma [100] guideline,reporting [99] sars,cov [98] reporting,mediation [87] randomized,trials [82] observational,studies Top Word Pairs in Tweet in G3:
[331] health,care [331] care,workers [329] antibody,response [329] response,vaccines [329] vaccines,gt [329] gt,1600 [329] 1600,health [329] workers,moderna_tx [329] moderna_tx,significantly [329] significantly,exceeded Top Word Pairs in Tweet in G4:
[96] thelancet,jama_current [92] nejm,jama_current [89] #cannabis,#medicine [84] #medicine,#patients [84] nejm,thelancet [78] #patients,#doctors [72] nature,jama_current [66] jama_current,pittmedmag [66] pittmedmag,gwsmhs [65] gwsmhs,#covid Top Word Pairs in Tweet in G5:
[88] #misirglobalsurgery,#some4surgery [78] timandersonmd,jama_current [75] jama_current,discussion [75] discussion,#aducanumab [75] #aducanumab,focused [75] focused,efficacy [75] efficacy,cost [75] cost,less [75] less,safety [75] safety,examined Top Word Pairs in Tweet in G6:
[146] vaccination,during [145] accumulating,evidence [145] increased,risk [144] evidence,shows [144] shows,increased [144] risk,miscarriage [144] miscarriage,#covid19 [144] #covid19,vaccination [144] during,early [144] early,pregnancy Top Word Pairs in Tweet in G7:
[64] emily,rosa [64] energy,healing [63] time,year [63] year,old [63] old,skeptic [63] skeptic,named [63] named,emily [63] rosa,debunked [63] debunked,energy [63] healing,pseudoscientific Top Word Pairs in Tweet in G8:
[47] covid,19 [30] secblinken,secbecerra [30] global,health [29] randomized,clinical [29] clinical,trial [29] health,security [28] basics,randomized [28] trial,effect [28] effect,ivf [28] ivf,treatment Top Word Pairs in Tweet in G9:
[29] jama_current,part [25] part,jamanetwork [24] 80,#patients [24] #patients,diagnosed [24] diagnosed,#covid19 [24] #covid19,experience [24] experience,lung [24] lung,injuries [24] injuries,read [24] read,patient Top Word Pairs in Tweet in G10:
[12] covid,19 [12] convalescent,plasma [12] plasma,futile [12] futile,treatment [12] treatment,critical [12] critical,#covid [12] #covid,19 [12] 19,patients [12] patients,jama_current [11] medical_xpress,study 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: