The graph represents a network of 13,537 Twitter users whose recent tweets were included in a list (Tweet ID List #ECCMID2022 & related by start D4) of 21410 tweet IDs, or who were replied to or mentioned in those tweets. 21068 out of 21410 tweets were collected. The network was obtained from Twitter on Tuesday, 26 April 2022 at 08:24 UTC.
The tweets in the network were tweeted over the 13-day, 23-hour, 50-minute period from Tuesday, 12 April 2022 at 07:22 UTC to Tuesday, 26 April 2022 at 07:12 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 : 13537
Unique Edges : 30545
Edges With Duplicates : 13767
Total Edges : 44312
Self-Loops : 1726
Reciprocated Vertex Pair Ratio : 0.0259061092469998
Reciprocated Edge Ratio : 0.0505038599799635
Connected Components : 155
Single-Vertex Connected Components : 97
Maximum Vertices in a Connected Component : 13216
Maximum Edges in a Connected Component : 43807
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.735351
Graph Density : 0.000185213854821502
Modularity : 0.480912
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 13,537 Twitter users whose recent tweets were included in a list (Tweet ID List #ECCMID2022 & related by start D4) of 21410 tweet IDs, or who were replied to or mentioned in those tweets. 21068 out of 21410 tweets were collected. The network was obtained from Twitter on Tuesday, 26 April 2022 at 08:24 UTC.
The tweets in the network were tweeted over the 13-day, 23-hour, 50-minute period from Tuesday, 12 April 2022 at 07:22 UTC to Tuesday, 26 April 2022 at 07:12 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 #ECCMID2022 & related by start D4
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:
[7866] infectious,diseases [7671] escmid,#eccmid2022 [7351] wearing,mask [7342] 2,years [7332] single,one [7323] person,covid [7322] first,major [7320] battling,covid [7319] thousands,infectious [7318] one,think Top Word Pairs in Tweet in G1:
[7061] escmid,#eccmid2022 [7010] infectious,diseases [6969] 2,years [6966] wearing,mask [6965] single,one [6963] thousands,infectious [6963] one,think [6962] single,person [6962] person,wearing [6961] diseases,doctors Top Word Pairs in Tweet in G2:
[495] infectious,diseases [326] #eccmid2022,escmid [287] escmid,#eccmid2022 [200] #eccmid2022,#idtwitter [181] id,physicians [166] social,media [157] pts,w [147] session,#eccmid2022 [142] #idtwitter,#eccmid2022 [140] check,out Top Word Pairs in Tweet in G3:
[738] drneilstone,escmid [221] twain_marco,drneilstone [192] infectious,diseases [188] wearing,mask [182] single,one [177] first,major [175] 2,years [175] battling,covid [173] escmid,#eccmid2022 [172] thousands,infectious Top Word Pairs in Tweet in G4:
[545] acute,hepatitis [493] cases,reported [482] unknown,origin [480] hepatitis,cases [453] session,#eccmid2022 [453] cases,unknown [453] origin,children [452] breaker,session [452] #eccmid2022,acute [451] children,far Top Word Pairs in Tweet in G5:
[407] hahaha,#eccmid2022 [3] drneilstone,escmid [2] late,breaker [2] breaker,session [2] session,#eccmid2022 [2] #eccmid2022,acute [2] acute,hepatitis [2] hepatitis,cases [2] cases,unknown [2] unknown,origin Top Word Pairs in Tweet in G6:
[271] new,lancetrespirmed [271] lancetrespirmed,#eccmid2022 [271] #eccmid2022,today [271] today,1 [271] 1,year [271] year,covid [271] covid,hospitalization [271] hospitalization,cohort [271] cohort,gt [271] gt,2 Top Word Pairs in Tweet in G7:
[31] learn,more [31] booth,1 [27] nanopore,team [23] using,nanopore [23] htropdis,uclh [22] same,day [22] register,here [21] booth,2 [21] looking,forward [21] nanopore,technology Top Word Pairs in Tweet in G8:
[114] marionkoopmans,kakape [114] kakape,escmid [44] special,session [44] unknown,aetiology [43] session,hepatitis [43] hepatitis,unknown [42] quickly,catching [42] catching,special [42] aetiology,#eccmid22 [42] #eccmid22,before Top Word Pairs in Tweet in G9:
[242] nueva,variante [121] #eccmid2022,hipótesis [121] hipótesis,casos [121] casos,hepatitis [121] hepatitis,raras [121] raras,1 [121] 1,cofactor [121] cofactor,está [121] está,haciendo [121] haciendo,infecciones Top Word Pairs in Tweet in G10:
[14] find,out [13] hi,microbiosoc [13] microbiology,society [13] out,more [12] #eccmid2022,come [11] come,hi [11] microbiosoc,dream [11] dream,team [11] team,stand [11] stand,pavilion 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: