The graph represents a network of 7,429 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, 28 May 2022 at 19:15 UTC.
The requested start date was Saturday, 28 May 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 8-day, 1-hour, 26-minute period from Thursday, 19 May 2022 at 21:52 UTC to Friday, 27 May 2022 at 23:18 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 : 7429
Unique Edges : 1890
Edges With Duplicates : 12865
Total Edges : 14755
Number of Edge Types : 5
Retweet : 6154
MentionsInRetweet : 6625
Mentions : 844
Replies to : 196
Tweet : 936
Self-Loops : 960
Reciprocated Vertex Pair Ratio : 0.0067842605156038
Reciprocated Edge Ratio : 0.0134770889487871
Connected Components : 947
Single-Vertex Connected Components : 515
Maximum Vertices in a Connected Component : 4420
Maximum Edges in a Connected Component : 9735
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.191506
Graph Density : 0.000134462645588433
Modularity : 0.459814
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,429 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, 28 May 2022 at 19:15 UTC.
The requested start date was Saturday, 28 May 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 8-day, 1-hour, 26-minute period from Thursday, 19 May 2022 at 21:52 UTC to Friday, 27 May 2022 at 23:18 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 : %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:
[3932] lorry,queues [3929] queues,bad [3929] charity,specialising [3928] bad,charity [2276] war,refugees [2275] dover,lorry [2275] specialising,earthquakes [2275] earthquakes,aid [2275] aid,helping [2275] helping,war Top Word Pairs in Tweet in G1:
[1992] lorry,queues [1992] queues,bad [1992] bad,charity [1992] charity,specialising [1976] brexit,dover [1976] dover,lorry [1976] specialising,earthquakes [1976] earthquakes,aid [1976] aid,helping [1976] helping,war Top Word Pairs in Tweet in G2:
[1729] lorry,queues [1729] queues,bad [1729] bad,charity [1729] charity,specialising [1538] brexit,lorry [1538] specialising,natural [1538] natural,disasters [1538] disasters,drafted [1538] drafted,care [1538] care,suffering Top Word Pairs in Tweet in G3:
[423] disaster,recovery [130] disaster,response [67] recovery,cloud [64] cloud,backup [60] know,difference [60] difference,between [60] between,disaster [59] backup,business [56] recovery,plan [53] #disasterrecovery,#cloudbackup Top Word Pairs in Tweet in G4:
[453] n'invente,rien [453] rien,files [453] files,poids [453] poids,lourds [453] lourds,douvres [453] douvres,sont [453] sont,cauchemardesques [453] cauchemardesques,l'on [453] l'on,fait [453] fait,appel Top Word Pairs in Tweet in G5:
[159] indo,pacific [151] inclusive,indo [139] quad,helping [139] helping,development [139] development,free [139] free,open [139] open,inclusive [139] pacific,region [139] region,shared [139] shared,goal Top Word Pairs in Tweet in G6:
[169] brexit,success [169] success,way [169] way,disaster [169] disaster,re [169] re,using [169] using,hundreds [169] hundreds,thousands [169] thousands,taxpayers [169] taxpayers,money [169] money,pay Top Word Pairs in Tweet in G7:
[40] disaster,recovery [21] recovery,journal [14] disaster,response [13] cert,program [13] program,national [13] national,program [13] program,educates [13] educates,volunteers [13] volunteers,disaster [13] disaster,preparedness Top Word Pairs in Tweet in G8:
[77] disaster,response [74] re,act [74] act,disaster [69] response,charity [69] aid,lorry [69] lorry,drivers [69] brexit,queues [68] uk,government [68] government,drafted [68] drafted,re Top Word Pairs in Tweet in G9:
[61] disaster,recovery [18] business,continuity [12] continuity,plan [12] plan,vs [12] plan,different [12] different,cloudscale365 [12] cloudscale365,cloud28plus [12] #ransomware,strikes [12] strikes,dealing [12] dealing,one Top Word Pairs in Tweet in G10:
[13] disaster,response [7] mental,health [6] change,disaster [6] response,implementation [6] implementation,national [6] national,children [6] children,mental [6] health,wellbeing [6] wellbeing,strategy [5] unicefaustralia,change Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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: