The graph represents a network of 6,534 Twitter users whose tweets in the requested range contained ""disaster recovery" OR "disaster response"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 23 January 2021 at 20:37 UTC.
The requested start date was Saturday, 23 January 2021 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 13-day, 17-hour, 19-minute period from Saturday, 09 January 2021 at 01:10 UTC to Friday, 22 January 2021 at 18:30 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 : 6534
Unique Edges : 3424
Edges With Duplicates : 8208
Total Edges : 11632
Number of Edge Types : 5
Retweet : 3694
MentionsInRetweet : 4520
Mentions : 1365
Tweet : 1440
Replies to : 613
Self-Loops : 1469
Reciprocated Vertex Pair Ratio : 0.0171255876427132
Reciprocated Edge Ratio : 0.0336744800264114
Connected Components : 1538
Single-Vertex Connected Components : 782
Maximum Vertices in a Connected Component : 1293
Maximum Edges in a Connected Component : 2666
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.90727
Graph Density : 0.000141917999508136
Modularity : 0.551599
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 6,534 Twitter users whose tweets in the requested range contained "%22disaster recovery%22 OR %22disaster response%22", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 23 January 2021 at 20:37 UTC.
The requested start date was Saturday, 23 January 2021 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 13-day, 17-hour, 19-minute period from Saturday, 09 January 2021 at 01:10 UTC to Friday, 22 January 2021 at 18:30 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 : %22disaster recovery%22 OR %22disaster response%22
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:
[2489] disaster,response [2294] disaster,recovery [1067] response,force [1002] national,disaster [867] force,ndrf [770] international,disaster [750] tag,international [705] ndrf,tag [704] disaster,respo [703] matter,great Top Word Pairs in Tweet in G1:
[624] disaster,recovery [209] disaster,response [77] recovery,plan [70] business,continuity [54] response,force [39] backup,disaster [35] national,disaster [30] force,ndrf [25] recovery,plans [23] continuity,disaster Top Word Pairs in Tweet in G2:
[706] disaster,response [703] response,force [694] force,ndrf [694] tag,international [694] international,disaster [688] matter,great [688] great,pride [688] pride,india [688] india,national [688] national,disaster Top Word Pairs in Tweet in G3:
[326] disaster,response [325] thank,brave [325] brave,talented [325] talented,servicemembers [325] servicemembers,working [325] working,keep [325] keep,#taiwan [325] #taiwan,safe [325] safe,disaster [325] response,air Top Word Pairs in Tweet in G4:
[208] disaster,recovery [207] scott,morrison [207] morrison,hasn [207] hasn,spent [207] spent,cent [207] cent,4b [207] 4b,disaster [205] roads,closed [205] closed,flood [205] flood,waters Top Word Pairs in Tweet in G5:
[216] disaster,recovery [48] business,continuity [37] recovery,plan [25] #backup,#disasterrecovery [20] recovery,business [20] backup,disaster [19] recovery,plans [19] learn,more [18] continuity,plan [14] continuity,disaster Top Word Pairs in Tweet in G6:
[79] disaster,recovery [22] police,records [21] records,loss [21] loss,see [21] see,rapists [21] rapists,burglars [21] burglars,'slip [21] 'slip,net' [21] net',retired [21] retired,police Top Word Pairs in Tweet in G7:
[115] took,self [115] self,branded [115] branded,leftist [115] leftist,administration [115] administration,mexico [115] mexico,militarize [115] militarize,public [115] public,sphere [115] sphere,fund [115] fund,science Top Word Pairs in Tweet in G8:
[84] disaster,response [76] response,force [64] national,disaster [36] force,ndrf [31] raising,day [29] celebrated,16th [29] 16th,foundation [29] foundation,day [29] day,today [28] today,union Top Word Pairs in Tweet in G9:
[76] disaster,response [58] support,disaster [33] response,mapping [26] please,support [26] mapping,recent [26] recent,earthquake [26] earthquake,event [26] event,west [26] west,sulawesi [26] sulawesi,indonesia Top Word Pairs in Tweet in G10:
[72] two,years [72] years,ago [72] ago,promised [72] promised,floridians [72] floridians,take [72] take,bold [72] bold,steps [72] steps,expedite [72] expedite,disaster [72] disaster,relief Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: