The graph represents a network of 17,255 Twitter users whose recent tweets contained "Wuhan", 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 Sunday, 16 February 2020 at 22:59 UTC.
The tweets in the network were tweeted over the 4-hour, 9-minute period from Sunday, 16 February 2020 at 17:27 UTC to Sunday, 16 February 2020 at 21:36 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 : 17255
Unique Edges : 21705
Edges With Duplicates : 5395
Total Edges : 27100
Number of Edge Types : 5
Retweet : 12727
Mentions : 3125
MentionsInRetweet : 6305
Replies to : 1746
Tweet : 3197
Self-Loops : 3272
Reciprocated Vertex Pair Ratio : 0.00402684563758389
Reciprocated Edge Ratio : 0.00802139037433155
Connected Components : 1913
Single-Vertex Connected Components : 886
Maximum Vertices in a Connected Component : 12949
Maximum Edges in a Connected Component : 22451
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.036357
Graph Density : 7.03485048944173E-05
Modularity : 0.744185
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 17,255 Twitter users whose recent tweets contained "Wuhan", 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 Sunday, 16 February 2020 at 22:59 UTC.
The tweets in the network were tweeted over the 4-hour, 9-minute period from Sunday, 16 February 2020 at 17:27 UTC to Sunday, 16 February 2020 at 21:36 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 : Wuhan
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2004] tom,cotton [1893] super,lab [1489] few,miles [1484] miles,away [1476] wuhan,animal [1470] animal,market [1443] start,wuhan [1384] coronavirus,start [1369] lab,wuhan [1366] lab,few Top Word Pairs in Tweet in G1:
[340] #coronavirus,#coronavirusoutbreak [230] days,before [154] #coronavirusoutbreak,#wuhan [140] hospital,built [139] communist,party [135] naval,university [133] university,engineering [131] engineering,#wuhan [128] #coronavirusaustralia,#coronaviruscanada [124] 10,days Top Word Pairs in Tweet in G2:
[82] coronavirus,wuhan [60] wuhan,china [45] covid,19 [42] wuhan,coronavirus [34] tom,cotton [30] super,lab [28] virus,wuhan [26] miles,away [25] wuhan,animal [25] animal,market Top Word Pairs in Tweet in G3:
[621] cnn,ny [621] ny,times [621] times,journo [621] journo,coronavirus [621] coronavirus,emerged [621] emerged,lab [621] lab,wuhan [621] wuhan,someone [621] someone,bitten [621] bitten,bat Top Word Pairs in Tweet in G4:
[770] few,miles [763] miles,away [760] tom,cotton [752] wuhan,animal [745] animal,market [731] super,lab [729] start,wuhan [729] lab,few [728] sen,tom [727] level,super Top Word Pairs in Tweet in G5:
[466] wuhan,animal [466] animal,market [459] super,lab [459] miles,away [457] start,wuhan [457] few,miles [415] coronavirus,start [415] away,sen [415] cotton,drops [415] drops,bomb Top Word Pairs in Tweet in G6:
[131] blocking,investigation [111] wuhan,coronavirus [93] around,world [91] 24,countries [91] countries,around [89] coronavirus,infected [89] infected,500 [89] 500,people [89] people,24 [89] world,gordongchang Top Word Pairs in Tweet in G7:
[264] brote,#coronavirus [240] inesperada,nevada [240] nevada,cae [240] cae,wuhan [240] wuhan,wuhan [240] wuhan,quedó [240] quedó,cubierta [240] cubierta,nieve [240] nieve,15 [240] 15,febrero Top Word Pairs in Tweet in G8:
[434] news,cctv [434] cctv,fake [434] wuhan,people [432] danger,tolerate [432] tolerate,longer [432] longer,residents [432] residents,community [432] community,hospitals [432] hospitals,beds [432] beds,medicines Top Word Pairs in Tweet in G9:
[548] don,send [548] send,kids [548] kids,government [548] government,schools [548] schools,same [548] same,reason [548] reason,don [548] don,vacation [548] vacation,wuhan [34] lab,wuhan Top Word Pairs in Tweet in G10:
[66] pakistani,students [53] smqureshipti,zfrmrza [46] ll,hosting [46] hosting,briefing [46] briefing,parents [46] parents,pakistani [46] students,#wuhan [46] #wuhan,along [46] along,smqureshipti [46] zfrmrza,19 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: