The graph represents a network of 6,924 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 Sunday, 30 January 2022 at 20:08 UTC.
The requested start date was Saturday, 29 January 2022 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 9-day, 12-hour, 35-minute period from Wednesday, 19 January 2022 at 12:25 UTC to Saturday, 29 January 2022 at 01:00 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 : 6924
Unique Edges : 3960
Edges With Duplicates : 11902
Total Edges : 15862
Number of Edge Types : 5
Mentions : 972
Tweet : 1297
Retweet : 5643
MentionsInRetweet : 7735
Replies to : 215
Self-Loops : 1325
Reciprocated Vertex Pair Ratio : 0.00932342194783923
Reciprocated Edge Ratio : 0.0184745974285358
Connected Components : 1221
Single-Vertex Connected Components : 732
Maximum Vertices in a Connected Component : 3506
Maximum Edges in a Connected Component : 9936
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.913048
Graph Density : 0.000167122660564384
Modularity : 0.500091
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,924 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 Sunday, 30 January 2022 at 20:08 UTC.
The requested start date was Saturday, 29 January 2022 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 9-day, 12-hour, 35-minute period from Wednesday, 19 January 2022 at 12:25 UTC to Saturday, 29 January 2022 at 01:00 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:
[1833] disaster,recovery [1536] highly,specialised [1536] specialised,8th [1536] 8th,battalion [1536] battalion,ndrf [1536] ndrf,covers [1536] covers,key [1536] key,parts [1536] parts,northern [1536] northern,india Top Word Pairs in Tweet in G1:
[1499] highly,specialised [1499] specialised,8th [1499] 8th,battalion [1499] battalion,ndrf [1499] ndrf,covers [1499] covers,key [1499] key,parts [1499] parts,northern [1499] northern,india [1499] india,actively Top Word Pairs in Tweet in G2:
[877] nasaearth,scientists [877] scientists,tracking [877] tracking,effects [877] effects,jan [877] jan,15 [877] 15,volcanic [877] volcanic,eruption [877] eruption,tonga [877] tonga,sharing [877] sharing,satellite Top Word Pairs in Tweet in G3:
[611] disaster,recovery [180] disaster,response [124] recovery,plan [98] hybrid,clouds [71] team,disaster [70] test,team [51] protecting,business [50] data,safe [49] world,data [49] data,king Top Word Pairs in Tweet in G4:
[316] disaster,response [264] response,force [239] greetings,ndrfhq [232] ndrfhq,personnel [232] personnel,#raisingday [232] #raisingday,exemplary [232] exemplary,service [232] service,disaster [231] kishanreddybjp,greetings [231] force,dur Top Word Pairs in Tweet in G5:
[211] convey,best [211] best,wishes [211] wishes,ranks [211] ranks,families [207] आपद,स [207] स,व [207] व,सद [207] सद,व [207] व,सर [207] सर,वत Top Word Pairs in Tweet in G6:
[192] disaster,recovery [126] recovery,center [35] recovery,centers [29] help,survivors [26] waemd,open [26] femaregion8,disaster [25] open,disaster [24] sedro,woolley [20] impacted,#marshallfire [19] center,drc Top Word Pairs in Tweet in G7:
[121] disaster,recovery [32] recovery,service [22] recovery,plan [20] keep,business [20] business,running [20] running,24 [20] 24,disaster [20] service,#draas [20] #draas,learn [20] learn,#infographic Top Word Pairs in Tweet in G8:
[90] nigeriagov,building [90] building,galaxybackbone [90] galaxybackbone,tier [90] tier,data [90] data,center [90] center,kano [90] kano,join [90] join,existing [90] existing,infra [90] infra,abuja Top Word Pairs in Tweet in G9:
[45] disaster,recovery [42] #live,moruya [42] moruya,talking [42] talking,labor's [42] labor's,plan [42] plan,disaster [42] recovery,fiboydphillips [42] fiboydphillips,kristymcbain [42] kristymcbain,murraywatt [41] albomp,#live Top Word Pairs in Tweet in G10:
[49] disaster,recovery [19] recovery,plan [13] test,team [13] team,disaster [8] #backup,#disasterrecovery [8] business,continuity [8] understanding,cloud [8] cloud,native [7] native,data [7] data,protection Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
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: