The graph represents a network of 7,814 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 Friday, 23 December 2022 at 10:03 UTC.
The requested start date was Friday, 23 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, 1-hour, 15-minute period from Tuesday, 20 December 2022 at 11:10 UTC to Thursday, 22 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 : 7814
Unique Edges : 4004
Edges With Duplicates : 11703
Total Edges : 15707
Number of Edge Types : 5
Retweet : 4872
MentionsInRetweet : 5552
Mentions : 2066
Tweet : 2811
Replies to : 406
Self-Loops : 2915
Reciprocated Vertex Pair Ratio : 0.00841555426581544
Reciprocated Edge Ratio : 0.0166906474820144
Connected Components : 2052
Single-Vertex Connected Components : 1103
Maximum Vertices in a Connected Component : 2297
Maximum Edges in a Connected Component : 6203
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.297944
Graph Density : 0.000113839655649292
Modularity : 0.481654
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,814 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 Friday, 23 December 2022 at 10:03 UTC.
The requested start date was Friday, 23 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, 1-hour, 15-minute period from Tuesday, 20 December 2022 at 11:10 UTC to Thursday, 22 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:
[1578] क,र [1450] र,न [1154] न,क [777] च,न [674] त,र [674] र,क [565] स,क [538] न,म [535] म,क [514] क,ल Top Word Pairs in Tweet in G1:
[195] क,र [193] र,न [141] न,क [103] covid,19 [86] #covid,#coronavirus [79] स,क [78] च,न [72] क,ल [68] #coronavirus,#covid19 [67] त,र Top Word Pairs in Tweet in G2:
[649] क,र [594] र,न [459] न,क [314] त,र [304] च,न [232] र,क [228] क,ल [211] स,क [193] क,स [190] न,म Top Word Pairs in Tweet in G3:
[187] acude,centro [187] cercano,domicilio [187] #prevención,acude [187] centro,inmunización [187] lugar,trabajo [187] trabajo,ponte [187] domicilio,lugar [187] ponte,vacuna [187] inmunización,cercano [173] vtvcanal8,#prevención Top Word Pairs in Tweet in G4:
[188] र,न [180] क,र [165] न,क [119] भ,रत [109] म,क [95] ए,ट [95] रत,म [94] म,ल [94] व,र [93] र,ए Top Word Pairs in Tweet in G5:
[92] funeral,home [84] #covid,#chinacovid [84] #chinacovid,#covid19 [72] न,क [63] न,म [63] dead,bodies [49] क,र [46] visuals,funeral [46] china,funeral [46] #beijing,china Top Word Pairs in Tweet in G6:
[46] #covid,#coronavirus [45] go,again [45] ah,shit [45] again,#covid [45] shit,go [44] shaitaansa,ah [14] projections,leading [14] claim,one [14] pandemic,claim [14] few,months Top Word Pairs in Tweet in G7:
[56] found,india [56] japan,found [56] surge,china [56] population,genetically [56] before,population [56] india,before [56] china,japan [56] driving,surge [56] need,panic [56] variants,driving Top Word Pairs in Tweet in G8:
[120] doubling,time [60] time,china [60] hours,experts [60] anymore,doubling [60] experts,sink [60] possibly,hours [60] time,possibly [60] days,anymore [60] china,days [59] drericding,doubling Top Word Pairs in Tweet in G9:
[33] fordert,gesunde [33] lassen,ausland [33] gesunde,testpositive [33] pflegekräfte,arbeiten [33] testpositive,pflegekräfte [33] die,krankenhausgesellschaft [33] arbeiten,lassen [33] ausland,sofort [33] krankenhausgesellschaft,fordert [32] sofort,wirk Top Word Pairs in Tweet in G10:
[73] क,र [66] र,न [63] स,क [46] न,क [42] त,र [37] म,स [35] द,श [26] र,द [26] क,स [26] भ,रत 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 G5:
Top Replied-To in G6:
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:
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: