The graph represents a network of 14,358 Twitter users whose recent tweets contained "covid19", 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 Saturday, 15 February 2020 at 20:22 UTC.
The tweets in the network were tweeted over the 3-hour, 11-minute period from Saturday, 15 February 2020 at 16:07 UTC to Saturday, 15 February 2020 at 19:18 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 : 14358
Unique Edges : 18014
Edges With Duplicates : 4930
Total Edges : 22944
Number of Edge Types : 5
Mentions : 1824
Replies to : 914
Retweet : 14196
Tweet : 2668
MentionsInRetweet : 3342
Self-Loops : 2721
Reciprocated Vertex Pair Ratio : 0.00182542316627946
Reciprocated Edge Ratio : 0.00364419413616034
Connected Components : 917
Single-Vertex Connected Components : 385
Maximum Vertices in a Connected Component : 12259
Maximum Edges in a Connected Component : 20564
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.314452
Graph Density : 8.78587016687274E-05
Modularity : 0.693885
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 14,358 Twitter users whose recent tweets contained "covid19", 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 Saturday, 15 February 2020 at 20:22 UTC.
The tweets in the network were tweeted over the 3-hour, 11-minute period from Saturday, 15 February 2020 at 16:07 UTC to Saturday, 15 February 2020 at 19:18 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 : covid19
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:
[2787] ต,ดเช [2658] นธ,ใหม [1995] ใหม,2019 [1926] สอ,ฮ [1890] #coronavirus,#covid19 [1689] ดเช,อไวร [1603] ดเช,อ [1294] ด,วย [1274] ท,ง [1206] #ไวร,สโคโรน Top Word Pairs in Tweet in G1:
[335] ดเช,อ [316] #coronavirus,#covid19 [286] ต,ดเช [257] มพ,ชา [243] #covid19,#coronavirus [243] นธ,ใหม [205] tested,positive [183] ด,ม [178] ใหม,2019 [176] ก,มพ Top Word Pairs in Tweet in G2:
[432] spread,#covid19 [418] believe,health [418] health,human [418] human,right [418] right,#taiwancanhelp [418] #taiwancanhelp,preventing [418] preventing,spread [71] despite,#coronavirusoutbreak [71] #coronavirusoutbreak,neighboring [71] neighboring,#china Top Word Pairs in Tweet in G3:
[1648] สอ,ฮ [827] ฮ,น [827] covid19,ก [826] ด,วย [824] โจช,วหว [824] วหว,องบอกว [824] องบอกว,าถ [824] าถ,าจ [824] าจ,นไม [824] นไม,อยากให Top Word Pairs in Tweet in G4:
[413] #coronavirus,#coronavirusoutbreak [342] #coronavirusaustralia,#coronaviruscanada [334] #covid19,#coronavirusaustralia [211] #coronavirusoutbreak,#wuhancoronavirusoutbreak [211] #wuhancoronavirusoutbreak,#covid19 [178] #coronavirus,#covid19 [150] #wuhan,#covid19 [145] #coronavirusoutbreak,#wuhan [142] during,#coronavirusoutbreak [132] hospital,built Top Word Pairs in Tweet in G5:
[809] 02,2563 [742] ต,ดเช [728] 15,02 [716] ราย,ย [693] นธ,ใหม [684] ใหม,2019 [662] สโคโรนาสายพ,นธ [659] #ไวร,สโคโรนาสายพ [659] ดเช,อ [647] #covid19,15 Top Word Pairs in Tweet in G6:
[317] pepper,sprayed [317] #hongkongprotests,#covid19 [315] scouts,recruited [315] recruited,patrol [315] patrol,quarantine [315] quarantine,centres [315] centres,#hongkongpolice [315] #hongkongpolice,guts [315] guts,bully [315] bully,#hongkongers Top Word Pairs in Tweet in G7:
[773] ต,ดเช [611] ดเช,อไวร [565] นธ,ใหม [557] ใหม,2019 [546] ไม,ม [542] #ไวร,สโคโรน [540] ดเช,อรายใหม [539] #โคว,ด19 [538] ท,ง [537] สโคโรน,าสายพ Top Word Pairs in Tweet in G8:
[698] นธ,ใหม [630] ต,ดเช [607] ดเช,อไวร [581] า,ต [560] ท,ง [552] อไวร,ส [538] ด,ม [537] ส,#covid19 [532] ว,ย [531] ย,83 Top Word Pairs in Tweet in G9:
[573] ไม,เคยไปจ [573] เคยไปจ,น [398] ป,น [382] ชาววาคายาม,า [276] าการต,ดเช [226] โตเก,ยว [223] ฮ,น [206] ญ,ป [200] ดเช,อไวร [196] ดเช,อ Top Word Pairs in Tweet in G10:
[345] wanita,83 [345] 83,thn [345] warga,amerika [345] amerika,syarikat [260] tengah,malam [238] thn,warga [233] #covid19,malaysia [198] kapal,persiaran [190] penumpang,kapal [187] kes,ke Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: