The graph represents a network of 3,556 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 06 February 2022 at 11:02 UTC.
The requested start date was Sunday, 06 February 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 10-hour, 22-minute period from Sunday, 23 January 2022 at 01:04 UTC to Friday, 04 February 2022 at 11:26 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 : 3556
Unique Edges : 1573
Edges With Duplicates : 4606
Total Edges : 6179
Number of Edge Types : 5
Retweet : 2116
MentionsInRetweet : 2404
Mentions : 1008
Tweet : 313
Replies to : 338
Self-Loops : 338
Reciprocated Vertex Pair Ratio : 0.0033907883582933
Reciprocated Edge Ratio : 0.00675865953252605
Connected Components : 412
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 1733
Maximum Edges in a Connected Component : 3794
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.19102
Graph Density : 0.000280898431999797
Modularity : 0.554733
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,556 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 06 February 2022 at 11:02 UTC.
The requested start date was Sunday, 06 February 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 10-hour, 22-minute period from Sunday, 23 January 2022 at 01:04 UTC to Friday, 04 February 2022 at 11:26 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 : SARS-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:
[1687] sars,cov [1369] 529系統,オミクロン株 [1220] cov,2の変異株b [1218] 2の変異株b,529系統 [1131] オミクロン株,について [1053] について,第６報 [906] 第６報,オミクロンの海外での致死率約0 [906] オミクロンの海外での致死率約0,01 [906] 01,季節性インフルエンザの十分の一 [906] 季節性インフルエンザの十分の一,日本は包括的なデータとっていないからわからいちゃわからないけれど Top Word Pairs in Tweet in G1:
[882] sars,cov [882] cov,2の変異株b [882] 2の変異株b,529系統 [882] 529系統,オミクロン株 [882] オミクロン株,について [877] について,第６報 [874] 第６報,オミクロンの海外での致死率約0 [874] オミクロンの海外での致死率約0,01 [874] 01,季節性インフルエンザの十分の一 [874] 季節性インフルエンザの十分の一,日本は包括的なデータとっていないからわからいちゃわからないけれど Top Word Pairs in Tweet in G2:
[178] これか,凄まじい逆効果 [178] 凄まじい逆効果,ワクチン接種歴について情報が得られた956例について [178] ワクチン接種歴について情報が得られた956例について,79 [178] 79,759例 [178] 759例,が2回接種 [178] が2回接種,89例 [178] 89例,が1回接種 [178] が1回接種,67例 [178] 67例,が未接種 [178] が未接種,34例 Top Word Pairs in Tweet in G3:
[144] sars,cov [95] 529系統,オミクロン株 [75] cov,529系統 [72] motoisuzuki,sars [69] cov,2の変異株b [69] 2の変異株b,529系統 [52] オミクロン株,感染による新型コロナウイルス感染症の積極的疫学調査 [41] 積極的疫学調査に基づくオミクロン症例の潜伏期間の中央値は2,9日 [41] 9日,95 [41] 95,ci Top Word Pairs in Tweet in G4:
[133] sars,cov [68] 529系統,オミクロン株 [42] cov,2の変異株b [41] 2の変異株b,529系統 [31] cov,529系統 [30] オミクロン株,感染による新型コロナウイルス感染症の積極的疫学調査 [22] オミクロン株,について [16] について,第６報 [16] 2019,ncov [16] drml350phd,interesting Top Word Pairs in Tweet in G5:
[134] sars,cov [134] cov,2の変異株b [134] 2の変異株b,529系統 [134] 529系統,オミクロン株 [129] オミクロン株,について [116] について,第６報 [114] いまだに,従来通り感染経路は主に飛沫感染と [114] 従来通り感染経路は主に飛沫感染と,接触感染と考えられた [114] 接触感染と考えられた,と言っている感染研の資料はこれ [114] と言っている感染研の資料はこれ,国立感染症研究所 Top Word Pairs in Tweet in G6:
[63] strangely,defining [63] defining,airborne [63] airborne,long [63] long,range [63] range,makes [63] makes,sense [63] sense,protection [63] protection,measures [63] measures,depend [62] jljcolorado,strangely Top Word Pairs in Tweet in G7:
[70] 自分で調べろや,なんて言わないよぜえったいい [69] sakamotofumie,自分で調べろや [32] sakamotofumie,マスク着用の是非についてサイエンスベースで考えたい人はcdcがまとめサイトを作っているので参考までに [19] sars,cov [19] 529系統,オミクロン株 [13] 国立感染研からの鼻腔,鼻咽頭ぬぐい液および唾液検体におけるsars [13] 鼻咽頭ぬぐい液および唾液検体におけるsars,cov [13] cov,2分離培養に関する研究 [13] 2分離培養に関する研究,分離培養できるのは [13] 分離培養できるのは,唾液に比べて Top Word Pairs in Tweet in G8:
[6] chrisjohnsonmd,chris_f_carson [6] chris_f_carson,frugalsues [6] frugalsues,andylumm [6] andylumm,wjack76995 [6] wjack76995,lwsmith15 [6] lwsmith15,adevotedyogi [6] adevotedyogi,jt375043170 [6] jt375043170,cappsie [6] cappsie,mcfunny [5] jsaholmes,chrisjohnsonmd Top Word Pairs in Tweet in G10:
[78] sars,cov [77] 529系統,オミクロン株 [76] cov,529系統 [74] オミクロン株,感染による新型コロナウイルス感染症の積極的疫学調査 [74] 感染による新型コロナウイルス感染症の積極的疫学調査,第3報 [74] 第3報,新型コロナウイルス無症状病原体保有者におけるウイルス排出期間 [74] 新型コロナウイルス無症状病原体保有者におけるウイルス排出期間,令和4年1月27日 [74] 令和4年1月27日,国立感染症研究所 [73] earl_covid19_tw,sars [2] sakamotofumie,自分で調べろや 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 G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: