The graph represents a network of 17,440 Twitter users whose recent tweets contained "COVID-19", 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, 12 February 2020 at 16:47 UTC.
The tweets in the network were tweeted over the 4-hour, 33-minute period from Wednesday, 12 February 2020 at 11:16 UTC to Wednesday, 12 February 2020 at 15:50 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 : 17440
Unique Edges : 18559
Edges With Duplicates : 2569
Total Edges : 21128
Number of Edge Types : 5
Retweet : 12300
Mentions : 1378
Tweet : 4340
Replies to : 1162
MentionsInRetweet : 1948
Self-Loops : 4389
Reciprocated Vertex Pair Ratio : 0.00237514844677792
Reciprocated Edge Ratio : 0.00473904096776205
Connected Components : 3377
Single-Vertex Connected Components : 2171
Maximum Vertices in a Connected Component : 10800
Maximum Edges in a Connected Component : 13816
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 6.755276
Graph Density : 5.27296721310613E-05
Modularity : 0.80116
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 17,440 Twitter users whose recent tweets contained "COVID-19", 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, 12 February 2020 at 16:47 UTC.
The tweets in the network were tweeted over the 4-hour, 33-minute period from Wednesday, 12 February 2020 at 11:16 UTC to Wednesday, 12 February 2020 at 15:50 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 : COVID-19
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:
[15840] covid,19 [1756] ว,น [1176] #awaninews,#awani745 [1162] พบระยะฟ,กต [1162] ท,ว [1039] coronavirus,covid [968] virus,bertahan [968] bertahan,hari [968] hari,pada [968] pada,tombol Top Word Pairs in Tweet in G1:
[1824] covid,19 [138] coronavirus,covid [116] #covid,19 [65] coronavirus,disease [56] named,covid [50] corona,virus [50] world,health [48] name,covid [46] 19,coronavirus [44] novel,coronavirus Top Word Pairs in Tweet in G2:
[1252] covid,19 [1121] #awaninews,#awani745 [938] virus,bertahan [938] bertahan,hari [938] hari,pada [938] pada,tombol [938] tombol,pintu [938] pintu,pengangkutan [938] saintis,temui [938] temui,punca Top Word Pairs in Tweet in G3:
[1203] covid,19 [332] disease,covid [318] #2019ncov,disease [317] 19,drtedros [316] name,#2019ncov [316] hyphen,one [316] one,nine [316] nine,covid [314] drtedros,#covid19 [313] breaking,name Top Word Pairs in Tweet in G4:
[1635] ว,น [1090] พบระยะฟ,กต [1090] ท,ว [767] covid,19 [729] อ,ปเดต [729] 12,02 [729] 02,2563 [558] ท,ม [549] อ,covid [545] ปเดต,#covid19 Top Word Pairs in Tweet in G5:
[216] covid,19 [80] 44,000 [77] 世界卫生组织将新型冠状病毒定名为covid,19 [77] 19,不过台湾中央流行疫情指挥中心表示 [77] 不过台湾中央流行疫情指挥中心表示,为方便民众理解防疫讯息 [77] 为方便民众理解防疫讯息,官方发布讯息时仍会简称为 [77] 官方发布讯息时仍会简称为,武汉肺炎 [77] 武汉肺炎,也建议媒体于报导时采用上述原则称呼 [77] 也建议媒体于报导时采用上述原则称呼,你认为哪种称呼才是合适呢 [72] disease,caused Top Word Pairs in Tweet in G6:
[242] covid,19 [155] latest,updates [152] japanese,official [152] official,tested [152] tested,positive [152] positive,coronavirus [152] coronavirus,surveying [152] surveying,cruise [152] cruise,ship [152] ship,passengers Top Word Pairs in Tweet in G7:
[226] covid,19 [78] #covid,19 [77] intensive,care [74] deeply,concerning [74] concerning,singapore [74] singapore,cases [74] cases,#covid [74] 19,bringing [74] bringing,50 [74] 50,country Top Word Pairs in Tweet in G8:
[209] covid,19 [157] 視頻地點,#china [157] #china,安徽省馬鞍山市當塗縣博望區派出所 [157] 安徽省馬鞍山市當塗縣博望區派出所,這四個年輕人網上傳播 [157] 這四個年輕人網上傳播,#武漢疫情 [157] #武漢疫情,視頻 [157] 視頻,被派出所民警逮捕 [157] 被派出所民警逮捕,強制寫保證書 [157] 強制寫保證書,並且必須讀出來 [157] 並且必須讀出來,認罪 Top Word Pairs in Tweet in G9:
[257] covid,19 [178] 世界では英語で,武漢ウィルス [178] 武漢ウィルス,と呼んでいて [178] と呼んでいて,whoは [178] whoは,中国に不名誉だからやめろ [178] 中国に不名誉だからやめろ,と主張 [178] と主張,新名称 [178] 新名称,covid [178] 19,だってさ [178] だってさ,whoはこれだけで潰す価値あるよ Top Word Pairs in Tweet in G10:
[542] classes,gombak [542] gombak,campus [542] 13,23 [326] covid,19 [271] postponement,classes [271] campus,13 [271] 23,february [271] february,2020 [271] 2020,light [271] light,recent Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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