The graph represents a network of 4,913 Twitter users whose recent tweets contained "#outbreakcovid", 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 Wednesday, 20 January 2021 at 20:23 UTC.
The tweets in the network were tweeted over the 23-hour, 1-minute period from Tuesday, 19 January 2021 at 21:05 UTC to Wednesday, 20 January 2021 at 20:06 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 : 4913
Unique Edges : 9394
Edges With Duplicates : 1436
Total Edges : 10830
Self-Loops : 1652
Reciprocated Vertex Pair Ratio : 0.000342231348391513
Reciprocated Edge Ratio : 0.000684228532329798
Connected Components : 830
Single-Vertex Connected Components : 719
Maximum Vertices in a Connected Component : 3408
Maximum Edges in a Connected Component : 7689
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.704426
Graph Density : 0.000363366551945215
Modularity : 0.603758
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,913 Twitter users whose recent tweets contained "#outbreakcovid", 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 Wednesday, 20 January 2021 at 20:23 UTC.
The tweets in the network were tweeted over the 23-hour, 1-minute period from Tuesday, 19 January 2021 at 21:05 UTC to Wednesday, 20 January 2021 at 20:06 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 : #outbreakcovid
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:
[1932] care,homes [1565] homes,without [1450] hancock,still [1450] still,jobs [1448] 25k,discharged [867] without,testing [864] boris,hancock [820] discharged,hospital [820] hospital,care [820] night,#outbreakcovid Top Word Pairs in Tweet in G1:
[536] care,homes [480] didn,t [316] eat,out [315] out,help [304] homes,without [233] watching,#outbreakcovid [216] help,out [210] hancock,still [210] still,jobs [209] 25k,discharged Top Word Pairs in Tweet in G2:
[39] watching,#outbreakcovid [21] chinese,government [19] wet,markets [19] #คนละคร,งเฟส3 [18] don,t [17] uk,government [16] didn,t [16] #ฆ,าแม [16] าแม,ต [16] ต,วเองบางพรม54 Top Word Pairs in Tweet in G3:
[508] care,homes [501] homes,without [499] 25k,discharged [499] hancock,still [499] still,jobs [496] without,testing [496] boris,hancock [495] discharged,hospital [495] hospital,care [495] testing,boris Top Word Pairs in Tweet in G4:
[393] government,failed [390] please,direct [390] direct,outrage [390] outrage,government [390] failed,step [390] step,deal [390] deal,pandemic [390] pandemic,responsible [390] responsible,#outbreakcovid [80] care,homes Top Word Pairs in Tweet in G5:
[479] care,homes [467] homes,without [466] 25k,discharged [466] hancock,still [466] still,jobs [402] matt,hancock [397] discharged,care [397] without,being [397] being,tested [397] tested,boris Top Word Pairs in Tweet in G6:
[166] new,year [166] year,celebrations [117] chinese,doctors [117] boris,johnson [116] spread,virus [115] itv's,#outbreakcovid [115] #outbreakcovid,shows [115] shows,chinese [115] doctors,wuhan [115] wuhan,saying Top Word Pairs in Tweet in G7:
[137] god,poor [137] poor,italy [137] italy,brings [137] brings,back [137] back,shocking [137] shocking,upsetting [137] upsetting,time [137] time,new [137] new,horrible [137] horrible,watching Top Word Pairs in Tweet in G8:
[223] thank,senatedems [223] senatedems,4 [223] 4,speaking [223] speaking,#tigray [223] #tigray,voiceless [223] voiceless,poor [223] poor,facing [223] facing,#tigraygenocide [223] #tigraygenocide,atop [223] atop,#outbreakcovid Top Word Pairs in Tweet in G9:
[187] #outbreakcovid,#inaugurationday [187] #inaugurationday,#freebobiwine [187] #freebobiwine,#outbreak [187] #outbreak,#sarscov2 [187] #sarscov2,#covid19bc [187] #covid19bc,#wuhan [182] beat,facist [182] facist,again [182] again,apologies [182] apologies,sean Top Word Pairs in Tweet in G10:
[87] sayin',#outbreakcovid [28] shut,down [27] places,need [27] need,shut [27] down,urge [27] urge,act [27] act,immediately [27] immediately,#outbreakcovid [11] care,homes [8] blood,hands Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: