The graph represents a network of 3,438 Twitter users whose recent tweets were included in a list (Tweet ID List - misc ID accounts - reconstructed) of 10301 tweet IDs, or who were replied to or mentioned in those tweets. 10300 out of 10301 tweets were collected. The network was obtained from Twitter on Saturday, 18 July 2020 at 18:46 UTC.
The tweets in the network were tweeted over the 960-day, 2-hour, 24-minute period from Thursday, 30 November 2017 at 13:43 UTC to Friday, 17 July 2020 at 16:08 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 : 3438
Unique Edges : 6627
Edges With Duplicates : 18197
Total Edges : 24824
Self-Loops : 5453
Reciprocated Vertex Pair Ratio : 0.0954389665172687
Reciprocated Edge Ratio : 0.17424789410349
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 3438
Maximum Edges in a Connected Component : 24824
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.595604
Graph Density : 0.00070325951901111
Modularity : 0.22719
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 3,438 Twitter users whose recent tweets were included in a list (Tweet ID List - misc ID accounts - reconstructed) of 10301 tweet IDs, or who were replied to or mentioned in those tweets. 10300 out of 10301 tweets were collected. The network was obtained from Twitter on Saturday, 18 July 2020 at 18:46 UTC.
The tweets in the network were tweeted over the 960-day, 2-hour, 24-minute period from Thursday, 30 November 2017 at 13:43 UTC to Friday, 17 July 2020 at 16:08 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 : Tweet ID List - misc ID accounts - reconstructed
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:
[505] covid,19 [438] infectious,diseases [309] public,health [295] check,out [228] u,s [214] new,online [192] issue,now [179] learn,more [170] new,research [160] new,study Top Word Pairs in Tweet in G1:
[262] covid,19 [199] u,s [189] infectious,diseases [145] public,health [108] new,study [99] idsa,member [97] check,out [92] member,dr [92] learn,more [87] infectious,disease Top Word Pairs in Tweet in G2:
[203] new,online [170] issue,now [169] covid,19 [131] linked,comment [122] new,research [116] plus,linked [112] new,comment [110] public,health [106] now,live [88] now,online Top Word Pairs in Tweet in G3:
[100] check,out [92] find,out [89] escmid,org [80] infectious,diseases [72] out,more [66] days,left [61] make,sure [60] antimicrobial,resistance [57] info,escmid [56] clinical,microbiology Top Word Pairs in Tweet in G4:
[92] cmi,gt [90] new,cmi [88] infectious,diseases [65] clinical,microbiology [42] check,out [41] microbiology,infection [38] systematic,review [38] antimicrobial,stewardship [33] open,access [31] now,available Top Word Pairs in Tweet in G5:
[2] #amrcampaign,launches [2] launches,today [2] today,featuring [2] public,patients [2] patients,prescribers [2] prescribers,fight [2] fight,global [2] global,#antibioticresistance [2] #antibioticresistance,campaigning [2] campaigning,#antimicrobialresistance Top Word Pairs in Tweet in G6:
[3] twitter,chat [2] co,hosts [2] avacnow,idsainfo [2] over,importance [2] importance,seasonal [2] high,risk [2] risk,groups [2] #nhmafluchat,#nhmaflu [2] hashtag,#askreuters [2] yesterday's,#askreuters Top Word Pairs in Tweet in G7:
[2] training,program [2] id,fellows [2] id,fellow [2] id,consult [2] fold,risk Top Word Pairs in Tweet in G8:
[3] atscommunity,idsainfo [3] diagnosis,treatment [3] community,acquired [3] new,guidelines [3] guidelines,treatment [3] treatment,drug [3] drug,resistant [3] resistant,#tb [3] #tb,sponsored [3] sponsored,atscommunity Top Word Pairs in Tweet in G9:
[2] team,osuwexmed Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: