The graph represents a network of 9,316 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 28 October 2020 at 07:16 UTC.
The requested start date was Wednesday, 28 October 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, 2-minute period from Sunday, 25 October 2020 at 03:17 UTC to Tuesday, 27 October 2020 at 03:19 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 : 9316
Unique Edges : 4167
Edges With Duplicates : 13003
Total Edges : 17170
Number of Edge Types : 5
Retweet : 5933
MentionsInRetweet : 6745
Mentions : 1434
Replies to : 535
Tweet : 2523
Self-Loops : 2556
Reciprocated Vertex Pair Ratio : 0.00330356050409886
Reciprocated Edge Ratio : 0.00658536585365854
Connected Components : 2167
Single-Vertex Connected Components : 761
Maximum Vertices in a Connected Component : 3301
Maximum Edges in a Connected Component : 7681
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.527242
Graph Density : 9.44934081628937E-05
Modularity : 0.523214
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,316 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 28 October 2020 at 07:16 UTC.
The requested start date was Wednesday, 28 October 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, 2-minute period from Sunday, 25 October 2020 at 03:17 UTC to Tuesday, 27 October 2020 at 03:19 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-19
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:
[7333] covid,19 [671] 19,cases [562] 225,000 [461] deaths,february [451] cases,deaths [436] south,korea [434] first,covid [434] more,225 [433] korea,first [431] february,more Top Word Pairs in Tweet in G1:
[726] covid,19 [52] penyebaran,covid [40] libur,panjang [35] 19,cases [34] protokol,kesehatan [28] rumah,saja [24] tetap,rumah [23] saat,libur [22] pandemi,covid [17] 19,dengan Top Word Pairs in Tweet in G2:
[427] covid,19 [416] 19,cases [410] south,korea [409] checked,south [409] korea,first [409] first,covid [409] cases,deaths [409] deaths,february [409] february,more [409] more,225 Top Word Pairs in Tweet in G3:
[174] covid,19 [44] make,sure [43] yes,article [43] article,here's [43] here's,link [43] link,title [43] title,make [43] sure,right [42] gtconway3d,yes [29] chief,staff Top Word Pairs in Tweet in G4:
[402] covid,19 [127] contra,covid [74] lucha,contra [62] molécula,dr10 [48] dr10,antiviral [48] antiviral,altamente [48] altamente,efectivo [47] certificamos,molécula [47] efectivo,lucha [37] pdte,nicolasmaduro Top Word Pairs in Tweet in G5:
[221] chief,staff [161] covid,19 [145] white,house [143] house,chief [143] staff,mark [143] mark,meadows [125] two,people [110] people,briefed [110] briefed,matter [110] matter,white Top Word Pairs in Tweet in G6:
[186] covid,19 [172] 19,relief [139] american,people [138] people,won [138] won,forget [138] forget,instead [138] instead,passing [138] passing,adequate [138] adequate,covid [138] relief,legislation Top Word Pairs in Tweet in G7:
[188] goes,goes [166] covid,19 [94] front,rfk [94] rfk,stadium [94] stadium,washington [94] washington,dc [94] dc,memorial [94] memorial,americans [94] americans,died [94] died,covid Top Word Pairs in Tweet in G8:
[134] covid,19 [88] rip,fox [88] fox,producer [88] producer,rob [88] rob,brown [88] brown,network [88] network,1999 [88] 1999,died [88] died,covid [88] 19,complications Top Word Pairs in Tweet in G9:
[128] covid,19 [33] donald,trump [21] beat,covid [20] eight,months [20] months,pandemic [20] pandemic,finally [20] finally,found [20] found,president [20] president,trump's [20] trump's,plan Top Word Pairs in Tweet in G10:
[121] covid,19 [29] due,covid [28] dallas,area [28] area,woman [28] woman,died [28] died,due [28] 19,flight [28] flight,arizona [28] arizona,dallas [28] dallas,county 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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