The graph represents a network of 5,258 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 May 2020 at 09:47 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 10-hour, 56-minute period from Sunday, 10 May 2020 at 01:31 UTC to Monday, 11 May 2020 at 12:27 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 : 5258
Unique Edges : 2106
Edges With Duplicates : 8252
Total Edges : 10358
Number of Edge Types : 5
Retweet : 3791
MentionsInRetweet : 4333
Tweet : 945
Replies to : 398
Mentions : 891
Self-Loops : 970
Reciprocated Vertex Pair Ratio : 0.00784392598551891
Reciprocated Edge Ratio : 0.0155657553382558
Connected Components : 883
Single-Vertex Connected Components : 383
Maximum Vertices in a Connected Component : 1541
Maximum Edges in a Connected Component : 3895
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.722817
Graph Density : 0.00018128665845239
Modularity : 0.497014
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 5,258 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 May 2020 at 09:47 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 10-hour, 56-minute period from Sunday, 10 May 2020 at 01:31 UTC to Monday, 11 May 2020 at 12:27 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 : GraphServerTwitterSearch
Graph Term : NCoV
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:
[880] 기본,지침 [480] datos,#covid19 [479] #covid19,españa [442] 생활,속 [442] 속,거리두기 [440] 질병관리본부,생활 [440] 거리두기,기본 [440] 지침,꽤 [440] 꽤,좋네 [440] 좋네,새롭게 Top Word Pairs in Tweet in G1:
[227] face,covering [220] cloth,face [171] cdcgov,looking [169] looking,tips [169] tips,safely [169] safely,wear [169] wear,remove [169] remove,cloth [169] covering,check [168] check,share Top Word Pairs in Tweet in G2:
[475] datos,#covid19 [471] #covid19,españa [267] confirmados,pcr [265] actualizados,hoy [265] mayo,confirmados [256] españa,primer [256] primer,caso [256] caso,inicial [256] inicial,actualizados [253] saludpublicaes,datos Top Word Pairs in Tweet in G3:
[872] 기본,지침 [436] 질병관리본부,생활 [436] 생활,속 [436] 속,거리두기 [436] 거리두기,기본 [436] 지침,꽤 [436] 꽤,좋네 [436] 좋네,새롭게 [436] 새롭게,읽어볼 [436] 읽어볼,필요가 Top Word Pairs in Tweet in G4:
[63] 2019,ncov [48] covid,19 [24] coronavirus,2019 [17] sa,ncov [13] face,coverings [11] coronavirus,covid [11] 感染者の発生状況及び報道発表資料など新型コロナ情報まとめ,茨城県 [9] confirmed,cases [8] novel,coronavirus [8] 2020,05 Top Word Pairs in Tweet in G5:
[312] #新型コロナウイルス,感染症情報 [312] 本日も,県内での新たな新型コロナウイルス感染症患者は確認されませんでした [310] 県ホームページでご確認ください,#家で過ごそう [309] ibaraki_kouhou,#新型コロナウイルス [309] 県内での新たな新型コロナウイルス感染症患者は確認されませんでした,詳しくは [309] 詳しくは,県ホームページでご確認ください [309] #家で過ごそう,#stayhome [176] 感染症情報,5月10日 [176] 5月10日,本日も [133] 感染症情報,5月11日 Top Word Pairs in Tweet in G6:
[196] #5월_10일_0시_기준,#신규확진자_34명 [196] #신규확진자_34명,코로나19 [196] 코로나19,국내 [196] 국내,발생 [196] 발생,현황입니다 [196] 현황입니다,4월말부터 [196] 4월말부터,5월 [196] 5월,6일까지 [196] 6일까지,이태원 [196] 이태원,소재 Top Word Pairs in Tweet in G7:
[8] opposed,travel [7] committee,recommend [7] recommend,#travel_trade [7] #travel_trade,#restriction [7] #restriction,based [7] based,current [7] current,information [7] information,available [7] #stigma,#discrimination [7] article,#ihr Top Word Pairs in Tweet in G8:
[50] cartells,informatius [44] entren,fase [42] què,pot [42] pot,fer [42] fer,regions [42] regions,dilluns [42] dilluns,entren [42] fase,trobades [42] trobades,desplaçaments [42] desplaçaments,establiments Top Word Pairs in Tweet in G9:
[62] 県内の,#新型コロナウイルス感染症 [62] #新型コロナウイルス感染症,の状況 [59] hiroshima_pref,県内の [44] 感染状況の最新情報や知事メッセージ,事業者向けの情報 [44] 事業者向けの情報,教育に関する情報などは [44] 教育に関する情報などは,県hpでご確認ください [39] の状況,5月9日18時30分時点の患者の状況です [39] 5月9日18時30分時点の患者の状況です,感染状況の最新情報や知事メッセージ [23] 10時点の県内11エリアの人の流れを公開中,増減率は1月下旬 [23] 増減率は1月下旬,r2年1 Top Word Pairs in Tweet in G10:
[68] #déconfinement,transports [68] transports,djebbari_jb [59] lci,#déconfinement [21] carte,coronavirus [18] lci,carte [15] djebbari_jb,l'attestation [15] l'attestation,obligatoire [14] quels,sont [14] plus,touchés [14] direct,jean Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G7:
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: