The graph represents a network of 6,613 Twitter users whose recent tweets contained "@DreJoanneLiu OR @findingpneumo OR @GaviSeth OR @lprivord OR @janebarrattIFA OR @drjeromekim1 OR @SteveDavisPATH OR @ISID_org OR @Asia_Foundation OR @TheUnion_TBLH OR @amanpulungan OR @takeshi_kasai OR @ChArGo10m OR @DrDzul OR @DGHisham OR @DrKamalAmzan OR @drmusanordin OR @chriskc_Lee OR @hannahyeoh OR @doktorbudak OR @PIDSociety OR @EdselSalvana OR @antoniodans OR @DrTonyLeachon OR @Le_Van_Tan OR @ThwaitesGuy", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 13 November 2019 at 10:04 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 26-minute period from Monday, 04 November 2019 at 14:23 UTC to Wednesday, 13 November 2019 at 09:50 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 : 6613
Unique Edges : 16742
Edges With Duplicates : 7296
Total Edges : 24038
Number of Edge Types : 4
Mentions : 15779
Retweet : 6284
Replies to : 1877
Tweet : 98
Self-Loops : 114
Reciprocated Vertex Pair Ratio : 0.0243085106382979
Reciprocated Edge Ratio : 0.0474632601132056
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 6599
Maximum Edges in a Connected Component : 24013
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.162795
Graph Density : 0.000440410092533461
Modularity : 0.565759
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 6,613 Twitter users whose recent tweets contained "@DreJoanneLiu OR @findingpneumo OR @GaviSeth OR @lprivord OR @janebarrattIFA OR @drjeromekim1 OR @SteveDavisPATH OR @ISID_org OR @Asia_Foundation OR @TheUnion_TBLH OR @amanpulungan OR @takeshi_kasai OR @ChArGo10m OR @DrDzul OR @DGHisham OR @DrKamalAmzan OR @drmusanordin OR @chriskc_Lee OR @hannahyeoh OR @doktorbudak OR @PIDSociety OR @EdselSalvana OR @antoniodans OR @DrTonyLeachon OR @Le_Van_Tan OR @ThwaitesGuy", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 13 November 2019 at 10:04 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 26-minute period from Monday, 04 November 2019 at 14:23 UTC to Wednesday, 13 November 2019 at 09:50 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 : @DreJoanneLiu OR @findingpneumo OR @GaviSeth OR @lprivord OR @janebarrattIFA OR @drjeromekim1 OR @SteveDavisPATH OR @ISID_org OR @Asia_Foundation OR @TheUnion_TBLH OR @amanpulungan OR @takeshi_kasai OR @ChArGo10m OR @DrDzul OR @DGHisham OR @DrKamalAmzan OR @drmusanordin OR @chriskc_Lee OR @hannahyeoh OR @doktorbudak OR @PIDSociety OR @EdselSalvana OR @antoniodans OR @DrTonyLeachon OR @Le_Van_Tan OR @ThwaitesGuy
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1475] pegawai,perubatan [1438] men,kesihatan [1415] kesihatan,drdzul [1402] perubatan,siswazah [1392] tidak,mampu [1392] jawatan,tetap [1391] kkm,tidak [1391] tajaan,kerajaan [1390] kontrak,dan [1390] masih,menunggu Top Word Pairs in Tweet in G1:
[1390] pegawai,perubatan [1355] men,kesihatan [1334] kesihatan,drdzul [1322] perubatan,siswazah [1313] tidak,mampu [1313] jawatan,tetap [1312] tajaan,kerajaan [1311] kontrak,dan [1311] masih,menunggu [1310] kkm,tidak Top Word Pairs in Tweet in G2:
[408] new,government [402] more,seriously [401] despite,criticism [401] criticism,complaints [401] complaints,hear [401] hear,new [401] government,one [401] one,deny [401] deny,government [401] government,today Top Word Pairs in Tweet in G3:
[72] theunion_tblh,unionconference [43] new,#tb [42] unionconference,theunion_tblh [41] infectious,diseases [36] clinical,trials [35] tb,theunion_tblh [34] drug,regulator [34] regulator,approved [34] approved,sanofi [34] sanofi,india Top Word Pairs in Tweet in G4:
[156] leading,cause [123] million,children [78] diarrheal,diseases [78] diseases,third [78] third,leading [78] cause,child [78] child,mortality [78] mortality,globally [78] globally,amp [78] amp,rotavirus Top Word Pairs in Tweet in G5:
[353] audit,finds [353] finds,malaysian [353] malaysian,hospitals [353] hospitals,understaffed [353] understaffed,underfunded [353] underfunded,overcrowded [48] pegawai,perubatan [44] kkm,tidak [44] tidak,mampu [44] mampu,menyerap Top Word Pairs in Tweet in G6:
[77] ends,up [77] crappy,amp [77] amp,half [77] half,baked [76] everyone,cut [76] usually,research [76] research,work [76] work,ends [76] up,crappy [76] end,up Top Word Pairs in Tweet in G7:
[32] #safetyforshe,please [27] please,show [27] show,support [27] support,cause [27] cause,safe [27] safe,cities [27] cities,women [27] women,joining [27] joining,#tweetchat [27] host,session Top Word Pairs in Tweet in G8:
[24] paimadhu,forbeshealth [24] forbeshealth,seyeabimbola [24] seyeabimbola,doctorsoumya [24] doctorsoumya,peterasinger [24] peterasinger,drejoanneliu [24] drejoanneliu,picardonhealth [24] picardonhealth,ghs [24] ghs,ghn_news [24] ghn_news,lancetgh [24] lancetgh,richardhorton1 Top Word Pairs in Tweet in G9:
[14] stgatchalian,drtonyleachon [12] drtonyleachon,yuldorotheo [10] piacayetano,officialsenpia [10] drtonyleachon,piacayetano [10] jromwell,lordmcian [10] lordmcian,gmanews [9] sin,taxes [9] gmanews,drtonyleachon [8] yuldorotheo,piacayetano [7] safe,level Top Word Pairs in Tweet in G10:
[8] howardcatton,takeshi_kasai [7] #apednn,hong [7] hong,kong [7] kong,whowpro [7] whowpro,regional [7] regional,group [7] group,emergency [7] emergency,disaster [7] disaster,nursing [7] nursing,such 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 G9:
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 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: