The graph represents a network of 7,818 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, 04 September 2021 at 19:08 UTC.
The requested start date was Saturday, 04 September 2021 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, 9-hour, 58-minute period from Thursday, 26 August 2021 at 14:01 UTC to Saturday, 04 September 2021 at 00:00 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 : 7818
Unique Edges : 3739
Edges With Duplicates : 11491
Total Edges : 15230
Number of Edge Types : 5
Retweet : 5401
MentionsInRetweet : 6893
Tweet : 1415
Mentions : 1164
Replies to : 357
Self-Loops : 1455
Reciprocated Vertex Pair Ratio : 0.0136608597568618
Reciprocated Edge Ratio : 0.0269535113748764
Connected Components : 1419
Single-Vertex Connected Components : 760
Maximum Vertices in a Connected Component : 4315
Maximum Edges in a Connected Component : 9935
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 5.855666
Graph Density : 0.000132344337581737
Modularity : 0.535087
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 7,818 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, 04 September 2021 at 19:08 UTC.
The requested start date was Saturday, 04 September 2021 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, 9-hour, 58-minute period from Thursday, 26 August 2021 at 14:01 UTC to Saturday, 04 September 2021 at 00:00 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:
[3538] needs,rescue [2513] hurricane,ida [2243] disaster,response [1770] due,hurricane [1769] anyone,needs [1769] rescue,flooding [1769] flooding,due [1769] ida,know [1769] know,someone [1769] someone,needs Top Word Pairs in Tweet in G1:
[3442] needs,rescue [1721] anyone,needs [1721] rescue,flooding [1721] flooding,due [1721] due,hurricane [1721] hurricane,ida [1721] ida,know [1721] know,someone [1721] someone,needs [1721] rescue,list Top Word Pairs in Tweet in G2:
[494] disaster,recovery [239] disaster,response [66] business,continuity [51] recovery,plan [49] hurricane,ida [42] vmware,machines [42] machines,using [40] simplified,disaster [40] recovery,vmware [40] site,recovery Top Word Pairs in Tweet in G3:
[430] hurricane,ida [429] ida,seen [429] seen,space_station [429] space_station,crew [429] crew,member [429] member,thom_astro [429] thom_astro,hours [429] hours,before [429] before,storm [429] storm,landfall Top Word Pairs in Tweet in G4:
[243] disaster,response [235] mutual,aid [235] aid,disaster [235] response,vital [235] vital,right [235] right,obviously [235] obviously,many [235] many,systems [235] systems,need [235] need,overhauled Top Word Pairs in Tweet in G5:
[249] btw,being [249] being,sacrifice [249] sacrifice,zone [249] zone,oil [249] oil,gas [249] gas,chem [249] chem,industry [249] industry,weathering [249] weathering,worst [249] worst,effects Top Word Pairs in Tweet in G6:
[173] disaster,response [123] emergency,disaster [119] breaking,aspca [119] aspca,contacted [119] contacted,emergency [119] response,#hurricaneida [119] #hurricaneida,right [119] right,deploying [117] aspca,breaking [117] deploying,anim Top Word Pairs in Tweet in G7:
[145] disaster,response [58] one,sar [58] sar,teams [58] teams,tidewater [58] tidewater,disaster [58] response,headed [58] headed,#lafitte [58] #lafitte,help [58] help,rescue [58] rescue,remaining Top Word Pairs in Tweet in G8:
[126] disaster,recovery [21] vmware,cloud [19] cloud,disaster [15] recovery,plan [15] recovery,register [14] sept,24 [14] host,experts [14] conversation,strengthening [14] strengthening,disaster [14] recovery,vmware Top Word Pairs in Tweet in G9:
[133] disaster,response [132] inspire,confidence [132] confidence,federal [132] federal,government [132] government,disaster [131] stephenm,inspire Top Word Pairs in Tweet in G10:
[41] disaster,recovery [30] disaster,response [29] recovery,journal [20] statement,att [20] att,addressing [20] addressing,crashed [20] crashed,cell [20] cell,networks [20] networks,nola [20] nola,'we Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
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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:
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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 G10: