The graph represents a network of 11,976 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 January 2022 at 08:57 UTC.
The requested start date was Friday, 14 January 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, 0-minute period from Tuesday, 11 January 2022 at 12:18 UTC to Thursday, 13 January 2022 at 12:19 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 : 11976
Unique Edges : 6759
Edges With Duplicates : 11948
Total Edges : 18707
Number of Edge Types : 5
Retweet : 5462
MentionsInRetweet : 6227
Tweet : 3796
Mentions : 2309
Replies to : 913
Self-Loops : 3842
Reciprocated Vertex Pair Ratio : 0.00406191678559666
Reciprocated Edge Ratio : 0.00809096872949923
Connected Components : 3894
Single-Vertex Connected Components : 1052
Maximum Vertices in a Connected Component : 471
Maximum Edges in a Connected Component : 1033
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 8.18371
Graph Density : 6.37740338017719E-05
Modularity : 0.573924
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,976 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 January 2022 at 08:57 UTC.
The requested start date was Friday, 14 January 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, 0-minute period from Tuesday, 11 January 2022 at 12:18 UTC to Thursday, 13 January 2022 at 12:19 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 : COVID
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:
[1853] covid,19 [212] positive,covid [196] covid,cases [166] tested,positive [158] long,covid [141] contra,covid [130] boris,johnson [98] covid,positive [97] died,covid [88] covid,deaths Top Word Pairs in Tweet in G1:
[255] covid,19 [16] contra,covid [15] positive,covid [13] teste,covid [13] covid,cases [10] casos,covid [10] fazer,teste [9] covid,tests [9] tengo,covid [9] positivo,covid Top Word Pairs in Tweet in G2:
[38] covid,19 [14] क,द [14] र,ष [14] ष,ट [14] ट,र [14] र,य [13] य,य [12] य,व [12] व,अभ [12] अभ,यर Top Word Pairs in Tweet in G3:
[26] européenne,médicament [24] covid,19 [16] enquête,stupéfiante [16] stupéfiante,camps [16] camps,covid [16] covid,isolement [16] isolement,chine [16] chine,où [16] où,personnes [16] personnes,suspectées Top Word Pairs in Tweet in G4:
[14] 75,covid [14] covid,deaths [11] don,covid [11] deaths,people [11] people,comorbidities [11] comorbidities,according [11] according,cdc [11] cdc,tweet [10] covid,19 [10] still,work Top Word Pairs in Tweet in G5:
[21] covid,19 [17] uppsc,mains [10] cases,covid [9] please,postpone [9] #postpone_uppsc_mains2021,#uppcsmains2021 [9] covid,positive [9] covid,cases [8] postpone,uppsc [8] mains,2021 [7] 2021,due Top Word Pairs in Tweet in G6:
[69] covid,cases [61] tested,positive [53] positive,covid [45] postpone,bds [45] bds,exams [37] students,tested [36] covid,19 [31] request,postpone [27] knruhs,bds [26] postpone,exams Top Word Pairs in Tweet in G7:
[7] covid,19 [4] immunity,covid [3] covid,sono [3] article,conversationuk [3] conversationuk,here's [3] here's,catch [3] catch,covid [3] 19,includes [2] silvestrimd,morti [2] morti,influenza Top Word Pairs in Tweet in G8:
[13] prime,minister [10] boris,johnson [9] minister,stays [9] stays,home [9] home,someone [9] someone,covid [9] covid,house [9] house,cool [9] cool,under [9] under,threats Top Word Pairs in Tweet in G9:
[37] chá,revelação [37] revelação,saber [37] saber,covid [37] covid,gripe [37] gripe,rinite [36] sirlucasmatheus,chá [22] caralho,covid [22] covid,filhodaputa [22] filhodaputa,custava [22] custava,ir Top Word Pairs in Tweet in G10:
[51] covid,19 [27] contra,covid [10] casos,covid [9] nuevos,casos [9] detectados,últimas [9] últimas,24 [9] 24,horas [9] horas,autoridades [8] 267,nuevos [8] jornadas,vacunación 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: