The graph represents a network of 11,949 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 Saturday, 01 August 2020 at 07:32 UTC.
The requested start date was Saturday, 01 August 2020 at 00:01 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, 28 July 2020 at 12:23 UTC to Thursday, 30 July 2020 at 12:23 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 : 11949
Unique Edges : 6488
Edges With Duplicates : 12298
Total Edges : 18786
Number of Edge Types : 5
Tweet : 3414
Retweet : 5725
MentionsInRetweet : 6625
Replies to : 777
Mentions : 2245
Self-Loops : 3447
Reciprocated Vertex Pair Ratio : 0.00510583980427614
Reciprocated Edge Ratio : 0.010159805270399
Connected Components : 3567
Single-Vertex Connected Components : 899
Maximum Vertices in a Connected Component : 1757
Maximum Edges in a Connected Component : 3606
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 10.659171
Graph Density : 6.6184923913464E-05
Modularity : 0.575705
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,949 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 Saturday, 01 August 2020 at 07:32 UTC.
The requested start date was Saturday, 01 August 2020 at 00:01 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, 28 July 2020 at 12:23 UTC to Thursday, 30 July 2020 at 12:23 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:
[4240] covid,19 [159] cartilla,covid [132] due,covid [127] positive,covid [107] 19,cases [104] 19,pandemic [104] contra,covid [101] positif,covid [97] during,covid [93] social,media Top Word Pairs in Tweet in G1:
[458] covid,19 [14] 19,cases [13] due,covid [12] sa,covid [12] positive,covid [11] 19,pandemic [10] tested,positive [9] casos,covid [9] contra,covid [9] #কর,ন Top Word Pairs in Tweet in G2:
[86] covid,19 [22] covid,patients [21] fake,science [21] proven,conclusively [21] conclusively,used [21] used,consistently [21] consistently,reduce [21] reduce,already [21] already,declining [19] #hydroxychloroquineworks,proven Top Word Pairs in Tweet in G3:
[63] covid,19 [24] क,र [18] प,ज [18] स,ज [14] म,क [14] ज,य [14] य,द [13] र,न [13] न,प [13] भ,रत Top Word Pairs in Tweet in G4:
[33] social,media [33] media,lets [33] lets,people [33] people,fast [33] fast,food [33] food,drugs [33] drugs,use [33] use,riot [33] riot,locations [33] locations,sexual Top Word Pairs in Tweet in G5:
[58] covid,19 [34] state,ohio [19] patients,covid [18] practicing,physicians [17] ohio,officially [17] officially,bans [17] bans,pharmacies [17] pharmacies,giving [17] giving,hcq [17] hcq,prescriptions Top Word Pairs in Tweet in G6:
[79] covid,19 [14] casos,covid [12] contra,covid [9] two,trader [9] trader,joe [9] joe,customers [9] customers,asked [9] asked,put [9] put,masks [9] masks,attacked Top Word Pairs in Tweet in G7:
[43] covid,19 [28] treat,covid [19] physician,atlanta [19] atlanta,hydroxychloroquine [19] hydroxychloroquine,safe [19] safe,effective [19] effective,medicine [19] medicine,treat [19] 19,notes [19] notes,media Top Word Pairs in Tweet in G8:
[69] covid,19 [17] dr,fauci [14] president,trump [13] tested,positive [12] louie,gohmert [12] republican,covid [12] 19,response [11] heart,health [11] response,bill [11] bill,includes Top Word Pairs in Tweet in G9:
[25] covid,19 [10] need,help [10] help,brave [10] brave,frontline [10] frontline,covid [10] covid,doc [10] doc,stella [10] stella,immanuel [10] immanuel,asks [10] asks,patients Top Word Pairs in Tweet in G10:
[33] covid,19 [10] dr,stella [10] stella,immanuel [10] fun,fact [10] fact,guy [10] guy,right [10] right,charge [10] charge,covid [10] 19,data [10] data,rerouted Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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