The graph represents a network of 1,165 Twitter users whose recent tweets contained "#lives2020", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 10 December 2020 at 23:08 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 2-minute period from Tuesday, 01 December 2020 at 18:37 UTC to Thursday, 10 December 2020 at 21:39 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 : 1165
Unique Edges : 4288
Edges With Duplicates : 10919
Total Edges : 15207
Self-Loops : 534
Reciprocated Vertex Pair Ratio : 0.0981960200855496
Reciprocated Edge Ratio : 0.17883149872989
Connected Components : 19
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 1127
Maximum Edges in a Connected Component : 15168
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.532714
Graph Density : 0.00435452708582216
Modularity : 0.185729
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,165 Twitter users whose recent tweets contained "#lives2020", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 10 December 2020 at 23:08 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 2-minute period from Tuesday, 01 December 2020 at 18:37 UTC to Thursday, 10 December 2020 at 21:39 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 : TwitterSearch
Graph Term : #lives2020
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:
[716] esicm,#lives2020 [425] #lives2020,esicm [179] avkwong,iceman_ex [172] covid,19 [166] #lives2020,#esicm [157] luigi_icm,#lives2020 [138] intensive,care [133] #lives2020,#livesdigital [113] code,esicm2020 [112] drmcecconi,jkesecioglu Top Word Pairs in Tweet in G1:
[295] esicm,#lives2020 [192] #lives2020,esicm [117] avkwong,iceman_ex [79] covid,19 [72] drmcecconi,jkesecioglu [57] jkesecioglu,drmcecconi [57] iceman_ex,foamecmo [47] cardiac,arrest [47] intensive,care [46] #esicm,#lives2020 Top Word Pairs in Tweet in G2:
[180] esicm,#lives2020 [125] #lives2020,esicm [51] #lives2020,#esicm [50] great,talk [44] mechanical,ventilation [41] esicm,president [40] president,elect [39] video,demand [39] great,summary [38] review,paper Top Word Pairs in Tweet in G3:
[93] esicm,#lives2020 [92] #lives2020,esicm [87] #lives2020,#esicm [79] code,esicm2020 [75] springerclinmed,clinmedjournals [75] clinmedjournals,esicm [74] chapter,through [74] using,code [73] 20,discount [73] discount,using Top Word Pairs in Tweet in G4:
[76] luigi_icm,#lives2020 [46] lung,size [43] mv,recipe [43] recipe,same [43] same,ingredients [43] ingredients,different [43] different,dosages [43] dosages,result [43] result,perfection [43] perfection,vs Top Word Pairs in Tweet in G5:
[92] esicm,#lives2020 [84] #lives2020,#livesdigital [51] cm,h [46] ventilator,free [46] free,days [44] free,online [44] h,strategy [40] peep,strategy [39] strategy,ventilator [39] patients,without Top Word Pairs in Tweet in G6:
[11] esicm,#lives2020 [6] many,thanks [6] thanks,avkwong [6] avkwong,inviting [6] inviting,blog [6] blog,#datascience [6] #datascience,#ai [6] #ai,sessions [6] sessions,esicm [6] #lives2020,first Top Word Pairs in Tweet in G7:
[12] e,symposium [11] monday,7 [11] 7,december [11] 12,30 [11] 30,cet [10] covid,19 [10] hosted,esicm [10] esicm,sponsored [10] sponsored,aspenpharma [9] december,2020 Top Word Pairs in Tweet in G8:
[2] amazing,congrats [2] congrats,flaviasepsis [2] flaviasepsis,great [2] great,#sketchnotes [2] #sketchnotes,#sepsis [2] #sepsis,#lmic [2] #lmic,based [2] based,flavia [2] flavia,machado [2] machado,s Top Word Pairs in Tweet in G9:
[2] mês,samba [2] samba,e [2] e,voluntariado [2] voluntariado,appai [2] appai,homenageia [2] homenageia,esse [2] esse,ritmo [2] ritmo,tão [2] tão,brasileiro [2] brasileiro,com Top Word Pairs in Tweet in G10:
[5] experience,managing [5] managing,essential [5] essential,critical [5] critical,care [5] care,medication [5] medication,shortages [5] shortages,during [5] during,covid [5] covid,19 [5] 19,pandemic 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 Replied-To in G7:
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 G9:
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: