The graph represents a network of 6,177 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, 13 August 2022 at 19:20 UTC.
The requested start date was Saturday, 13 August 2022 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 13-day, 23-hour, 13-minute period from Saturday, 30 July 2022 at 00:02 UTC to Friday, 12 August 2022 at 23:16 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 : 6177
Unique Edges : 3188
Edges With Duplicates : 8263
Total Edges : 11451
Number of Edge Types : 5
Retweet : 3585
MentionsInRetweet : 4344
Mentions : 1126
Replies to : 359
Tweet : 2037
Self-Loops : 2077
Reciprocated Vertex Pair Ratio : 0.014903129657228
Reciprocated Edge Ratio : 0.0293685756240822
Connected Components : 1671
Single-Vertex Connected Components : 948
Maximum Vertices in a Connected Component : 1062
Maximum Edges in a Connected Component : 2645
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.913902
Graph Density : 0.000142807892558136
Modularity : 0.523504
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 6,177 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, 13 August 2022 at 19:20 UTC.
The requested start date was Saturday, 13 August 2022 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 13-day, 23-hour, 13-minute period from Saturday, 30 July 2022 at 00:02 UTC to Friday, 12 August 2022 at 23:16 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:
[2142] disaster,recovery [1613] disaster,response [208] business,continuity [204] bases,disaster [202] nuclear,101 [202] 101,microreactors [202] power,military [202] military,bases [200] govnuclear,nuclear [200] microreactors,factory Top Word Pairs in Tweet in G1:
[679] disaster,recovery [222] disaster,response [102] recovery,plan [67] business,continuity [57] learn,more [43] backup,disaster [29] recovery,center [27] field,debris [27] debris,monitor [26] tetra,tech Top Word Pairs in Tweet in G2:
[201] nuclear,101 [201] 101,microreactors [201] power,military [201] military,bases [201] bases,disaster [199] govnuclear,nuclear [199] microreactors,factory [199] factory,built [199] built,plug [199] plug,play Top Word Pairs in Tweet in G3:
[164] disaster,response [163] helping,farmers [163] farmers,efficiently [163] efficiently,water [163] water,crops [163] crops,monitoring [163] monitoring,climate [163] climate,change [163] change,supporting [163] supporting,disaster Top Word Pairs in Tweet in G4:
[224] disaster,recovery [73] business,continuity [41] continuity,disaster [34] #disasterrecovery,#recovery [33] recovery,journal [32] recovery,plan [27] recovery,plans [20] #disasterrecovery,#disaster [16] make,sure [15] easy,kubernetes Top Word Pairs in Tweet in G5:
[136] introduce,legislation [136] legislation,allow [136] allow,state [136] state,city [136] city,county [136] county,use [136] use,covid [136] covid,funds [136] funds,disaster [136] disaster,response Top Word Pairs in Tweet in G6:
[128] already,disaster [128] disaster,readiness [128] readiness,risk [128] risk,reduction [128] reduction,shs [128] shs,core [128] core,subject [128] science,technology [126] thereâ,already [126] subject,thereâ Top Word Pairs in Tweet in G7:
[104] disaster,response [57] bongbong,marcos [56] review,disaster [54] president,bongbong [53] marcos,review [53] response,sops [50] smninews,president [44] marcos,jr [41] president,ferdinand [36] ferdinand,marcos Top Word Pairs in Tweet in G8:
[63] disaster,response [31] uganda,red [31] red,cross [26] #disaster,response [20] live,nbstv [20] nbstv,tomorrow [20] tomorrow,morning [20] morning,share [20] share,updates [20] updates,disaster Top Word Pairs in Tweet in G9:
[141] #30years,#servinghumanity [141] #servinghumanity,gift [141] gift,givers [141] givers,responds [141] war,#bosnia [104] celebrating,#30years [104] responds,1992 [104] 1992,war [103] giftofthegivers,celebrating [100] #bosnia,giveâ Top Word Pairs in Tweet in G10:
[82] western,ky [81] ahead,fancy [81] fancy,farm [81] farm,republicans [81] republicans,already [81] already,attacking [81] attacking,gov [81] gov,beshear [81] beshear,let's [81] let's,clear Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: