The graph represents a network of 5,984 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, 26 September 2020 at 12:02 UTC.
The requested start date was Saturday, 26 September 2020 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 11-day, 0-hour, 34-minute period from Monday, 14 September 2020 at 14:47 UTC to Friday, 25 September 2020 at 15:22 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 : 5984
Unique Edges : 8893
Edges With Duplicates : 14360
Total Edges : 23253
Number of Edge Types : 5
Mentions : 9578
Replies to : 3274
MentionsInRetweet : 6907
Retweet : 3413
Tweet : 81
Self-Loops : 135
Reciprocated Vertex Pair Ratio : 0.0379368206026118
Reciprocated Edge Ratio : 0.0731004428199902
Connected Components : 24
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 5894
Maximum Edges in a Connected Component : 22999
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.750425
Graph Density : 0.000397377015626271
Modularity : 0.393374
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,984 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, 26 September 2020 at 12:02 UTC.
The requested start date was Saturday, 26 September 2020 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 11-day, 0-hour, 34-minute period from Monday, 14 September 2020 at 14:47 UTC to Friday, 25 September 2020 at 15:22 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:
[777] jama_current,part [696] part,jamanetwork [693] covid,19 [341] monicahahnmd,jama_current [338] sars,cov [283] rose_m_olson,jama_current [239] health,care [237] hwang_susan,jama_current [193] jama_current,jamanetwork [166] care,personnel Top Word Pairs in Tweet in G1:
[274] rose_m_olson,jama_current [214] hwang_susan,jama_current [142] glass_heff_full,jama_current [115] social,construct [97] rayofdiana,jama_current [91] jama_current,race [90] race,social [87] drleslie_md,jama_current [78] monicahahnmd,jama_current [75] shargudban,jama_current Top Word Pairs in Tweet in G2:
[547] jama_current,part [510] part,jamanetwork [379] covid,19 [144] sars,cov [116] health,care [79] antibodies,sars [78] jama_current,jamanetwork [74] 19,path [74] path,immunity [70] immunity,jama_current Top Word Pairs in Tweet in G3:
[70] covid,19 [47] mrdisability,jama_current [45] many,others [44] #covid19,cases [44] cases,take [44] take,again [44] again,#ontario [44] #ontario,really [44] really,worry [44] worry,burnout Top Word Pairs in Tweet in G4:
[46] first,bmj_latest [46] bmj_latest,journal [46] journal,american [46] american,medical [46] medical,assoc [46] assoc,jama_current [46] jama_current,tcells [46] tcells,another [46] another,level [46] level,popn Top Word Pairs in Tweet in G5:
[263] monicahahnmd,jama_current [37] luismen1991,monicahahnmd [27] carriecabral2,luismen1991 [25] jama_current,race [15] guadalupebaerga,monicahahnmd [15] pen_to_the_page,monicahahnmd [15] davealexanderid,monicahahnmd [13] d_oppler,monicahahnmd [12] texcis,monicahahnmd [12] narjustdumamd,jama_current Top Word Pairs in Tweet in G6:
[34] muerte,cerebral [34] cerebral,sabemos [34] sabemos,explicarle [34] explicarle,familiares [34] familiares,nuestros [34] nuestros,#pacientes [34] #pacientes,interesante [33] interesante,información [33] información,pacientes [33] medtorek,muerte Top Word Pairs in Tweet in G7:
[28] covid,19 [23] public,health [22] 19,pandemic [22] pandemic,caught [22] caught,governments [22] governments,surprise [22] surprise,medical [22] medical,public [22] health,communities [22] communities,long Top Word Pairs in Tweet in G8:
[29] mpishvaian,jama_current [23] sirohibhawna,doc_amarendra [21] pashtoonkasi,sirohibhawna [16] jamaonc,jama_current [15] doc_amarendra,agrothey [15] jama_current,part [15] jama_current,jamanetwork [14] doc_amarendra,mpishvaian [13] agrothey,mpishvaian [13] covid,19 Top Word Pairs in Tweet in G9:
[14] cshufeltmd,jama_current [12] contraception,women [12] drmarthagulati,penseewu [12] covid,19 [11] women,#hypertension [10] penseewu,excellent [10] excellent,work [10] work,cshufeltmd [10] jama_current,guidance [10] guidance,contraception Top Word Pairs in Tweet in G10:
[42] a1,loneliness [42] loneliness,already [42] already,epidemic [42] epidemic,before [42] before,pandemic [42] pandemic,groups [42] groups,especially [42] especially,high [42] high,risk [42] risk,include Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: