The graph represents a network of 7,864 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 December 2022 at 10:20 UTC.
The requested start date was Sunday, 25 December 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 2-day, 0-hour, 35-minute period from Wednesday, 21 December 2022 at 11:49 UTC to Friday, 23 December 2022 at 12:25 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 : 7864
Unique Edges : 4101
Edges With Duplicates : 12037
Total Edges : 16138
Number of Edge Types : 5
Retweet : 5028
MentionsInRetweet : 5919
Tweet : 2741
Mentions : 2046
Replies to : 404
Self-Loops : 2846
Reciprocated Vertex Pair Ratio : 0.00859678313921242
Reciprocated Edge Ratio : 0.0170470167720649
Connected Components : 1956
Single-Vertex Connected Components : 988
Maximum Vertices in a Connected Component : 2410
Maximum Edges in a Connected Component : 6712
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.207918
Graph Density : 0.000117636343335883
Modularity : 0.487404
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,864 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 December 2022 at 10:20 UTC.
The requested start date was Sunday, 25 December 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 2-day, 0-hour, 35-minute period from Wednesday, 21 December 2022 at 11:49 UTC to Friday, 23 December 2022 at 12:25 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 : Coronavirus
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:
[1475] क,र [1428] र,न [1219] न,क [628] र,क [613] क,स [606] स,क [605] क,ल [595] च,न [591] त,र [516] म,क Top Word Pairs in Tweet in G1:
[130] क,र [128] र,न [110] covid,19 [104] न,क [79] #covid,#coronavirus [67] स,क [60] क,स [58] #coronavirus,#covid19 [56] #covid19,#coronavirus [51] च,न Top Word Pairs in Tweet in G2:
[557] क,र [532] र,न [394] न,क [274] त,र [254] क,ल [232] स,क [223] क,स [219] र,क [160] स,थ [157] च,न Top Word Pairs in Tweet in G3:
[211] #covid,#chinacovid [211] #chinacovid,#covid19 [107] china,#covid [104] #covid19,#coronavirus [95] funeral,home [71] activistjyot,look [68] dead,bodies [55] treated,china [55] covid,infected [55] inhumanely,treated Top Word Pairs in Tweet in G4:
[192] र,न [188] क,र [163] न,क [121] व,र [112] भ,रत [109] ए,ट [106] म,क [105] र,ए [100] रत,म [95] म,ल Top Word Pairs in Tweet in G5:
[92] このまま放置すれば,旧正月の後 [92] 入国規制を速やかに実施する必要がある,このまま放置すれば [92] 旧正月の後,わが国は阿鼻叫喚の巷になる可能性が高い [92] わが国は阿鼻叫喚の巷になる可能性が高い,入国規制強化 [92] 仮に中国で蔓延する武漢ウイルスがが,新たに変異した致死率の高いものならば [92] 新たに変異した致死率の高いものならば,入国規制を速やかに実施する必要がある [91] kojihirai6,仮に中国で蔓延する武漢ウイルスがが [40] １日５０００人も死ぬか,これってオミクロンではなく [40] 別の強毒なタイプに切り替わっていないか,またチープな人権論を展開させて１億３０００万人を危機に陥らせる前に今度こそ中国人の入国禁止を [40] これってオミクロンではなく,別の強毒なタイプに切り替わっていないか Top Word Pairs in Tweet in G6:
[39] 2022,12 [34] これまでで最多であった2022,2の347名に次いで [34] 2の347名に次いで,これまでで2番目に多い死者数 [34] 19死者数は339名,これまでで最多であった2022 [34] 本日のcovid,19死者数は339名 [33] sukunabikona7,本日のcovid [32] 詳細は下記urlより,#新型コロナウイルス [29] #新型コロナウイルス,#covid19 [26] 詳細解析でもワクチン接種済み成人に,効果薄 [26] メルクのコロナ薬,詳細解析でもワクチン接種済み成人に Top Word Pairs in Tweet in G7:
[68] found,india [68] japan,found [68] surge,china [68] population,genetically [68] before,population [68] india,before [68] china,japan [68] driving,surge [68] need,panic [68] variants,driving Top Word Pairs in Tweet in G8:
[103] part,biological [103] program,ukraine [103] biological,weapons [103] putin,coronavirus [103] coronavirus,part [103] weapons,program [67] ukraine66251776,putin [31] janebon34813396,putin [3] vraisemblable,coronavirus [3] otan,guerre Top Word Pairs in Tweet in G9:
[144] ponte,vacuna [144] #prevención,acude [144] acude,centro [144] domicilio,lugar [144] trabajo,ponte [144] cercano,domicilio [144] centro,inmunización [144] lugar,trabajo [144] inmunización,cercano [132] vtvcanal8,#prevención Top Word Pairs in Tweet in G10:
[20] doubling,time [11] many,people [11] novel,coronavirus [11] 2020,tried [11] believe,many [11] jan,2020 [11] people,didn [11] warn,novel [11] didn,jan [11] tried,warn Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
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: