The graph represents a network of 8,634 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 Monday, 25 May 2020 at 07:29 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 1-minute period from Friday, 22 May 2020 at 12:16 UTC to Sunday, 24 May 2020 at 12:18 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 : 8634
Unique Edges : 5060
Edges With Duplicates : 7967
Total Edges : 13027
Number of Edge Types : 5
Retweet : 3768
MentionsInRetweet : 4540
Tweet : 2270
Replies to : 496
Mentions : 1953
Self-Loops : 2309
Reciprocated Vertex Pair Ratio : 0.00617283950617284
Reciprocated Edge Ratio : 0.0122699386503067
Connected Components : 2679
Single-Vertex Connected Components : 653
Maximum Vertices in a Connected Component : 753
Maximum Edges in a Connected Component : 1399
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.660049
Graph Density : 9.18466053824687E-05
Modularity : 0.599858
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 8,634 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 Monday, 25 May 2020 at 07:29 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 1-minute period from Friday, 22 May 2020 at 12:16 UTC to Sunday, 24 May 2020 at 12:18 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 G2:
[401] genovia,hasn [16] hasn,reported [15] reported,single [9] single,case [8] case,covid [8] covid,19 [8] 19,true [8] true,leadership [7] leadership,looks [7] theprincedylan,genovia Top Word Pairs in Tweet in G3:
[169] covid,19 [169] त,र [169] व,स [169] भ,ल [169] य,स [169] स,थ [169] व,श [169] श,व [169] व,म [168] म,भ Top Word Pairs in Tweet in G4:
[34] covid,19 [11] donald,trump [10] hard,truth [10] truth,donald [9] trump,ignored [9] ignored,warnings [8] warnings,health [8] health,experts [8] experts,intelligence [8] intelligence,agencies Top Word Pairs in Tweet in G5:
[36] covid,19 [23] nursing,homes [16] growing,evidence [16] evidence,suggests [16] suggests,covid [16] 19,infection [16] infection,illnesses [16] illnesses,related [16] related,prolonged [16] prolonged,time Top Word Pairs in Tweet in G6:
[56] covid,19 [25] 19,deaths [16] counting,gunshot [16] gunshot,victims [16] victims,covid [16] washington,officials [16] officials,admit [16] admit,counting [16] deaths,disrnnews [16] tomfitton,washington Top Word Pairs in Tweet in G7:
[20] campaign,nominated [11] nominated,jisung [7] joined,campaign [7] covid,19 [7] stay,ina [6] jisung,stray [6] stray,kids [6] jisung,stray_kids [6] ina,joined [5] kids,thank Top Word Pairs in Tweet in G8:
[50] terrifying,point [45] point,former [41] former,durham [36] durham,police [25] police,chief [24] chief,mike [24] mike,barton [21] barton,bbc [21] bbc,given [16] given,cummings Top Word Pairs in Tweet in G9:
[57] covid,19 [57] 100,000 [57] nytimes,front [57] 60,billion [57] billion,cut [57] cut,covid [57] covid,stimulus [57] sixth,name [57] name,nytimes [57] front,list Top Word Pairs in Tweet in G10:
[23] covid,19 [12] #venceremosalcovid19,vamos [10] vamos,mantenernos [4] mantenernos,firmes [4] firmes,dispuestos [4] dispuestos,seguir [4] #vivalahermandadvenezuelairán,nicolasmaduro [4] mippcivzla,#23may [4] elevando,medidas [4] medidas,prevención Top Replied-To in Entire Graph:
Top Replied-To in G3:
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: