The graph represents a network of 6,235 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, 05 February 2022 at 20:09 UTC.
The requested start date was Saturday, 05 February 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 10-day, 14-hour, 0-minute period from Monday, 24 January 2022 at 03:13 UTC to Thursday, 03 February 2022 at 17:14 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 : 6235
Unique Edges : 3120
Edges With Duplicates : 10367
Total Edges : 13487
Number of Edge Types : 5
Tweet : 1440
Retweet : 4847
MentionsInRetweet : 5942
Mentions : 1014
Replies to : 244
Self-Loops : 1475
Reciprocated Vertex Pair Ratio : 0.0145187601957586
Reciprocated Edge Ratio : 0.0286219649461328
Connected Components : 1317
Single-Vertex Connected Components : 799
Maximum Vertices in a Connected Component : 2621
Maximum Edges in a Connected Component : 7352
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.01609
Graph Density : 0.000159999012065917
Modularity : 0.474194
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,235 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, 05 February 2022 at 20:09 UTC.
The requested start date was Saturday, 05 February 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 10-day, 14-hour, 0-minute period from Monday, 24 January 2022 at 03:13 UTC to Thursday, 03 February 2022 at 17:14 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:
[2127] disaster,recovery [1564] highly,specialised [1564] specialised,8th [1564] 8th,battalion [1564] battalion,ndrf [1564] ndrf,covers [1564] covers,key [1564] key,parts [1564] parts,northern [1564] northern,india Top Word Pairs in Tweet in G1:
[1552] highly,specialised [1552] specialised,8th [1552] 8th,battalion [1552] battalion,ndrf [1552] ndrf,covers [1552] covers,key [1552] key,parts [1552] parts,northern [1552] northern,india [1552] india,actively Top Word Pairs in Tweet in G2:
[678] disaster,recovery [185] disaster,response [137] recovery,plan [98] hybrid,clouds [71] test,team [71] team,disaster [64] business,continuity [51] protecting,business [50] data,safe [49] world,data Top Word Pairs in Tweet in G3:
[172] ang,pangulo [172] pangulo,dapat [172] dapat,handa [172] handa,vice [172] vice,president [172] president,leni [172] leni,robredo [172] robredo,during [172] during,presidential [172] presidential,interview Top Word Pairs in Tweet in G4:
[165] disaster,recovery [59] route,53 [58] amazon,route [55] recovery,mechanisms [55] mechanisms,using [55] using,amazon [54] creating,disaster [54] 53,#aws [52] #aws,blog [52] blog,describes Top Word Pairs in Tweet in G5:
[198] disaster,recovery [105] recovery,center [36] #marshallfire,straight [36] straight,line [36] line,winds [36] recovery,centers [32] recovery,journal [23] femaregion8,disaster [19] center,serving [19] serving,#boulder Top Word Pairs in Tweet in G6:
[111] disaster,recovery [24] recovery,service [21] difference,between [21] service,#draas [20] keep,business [20] business,running [20] running,24 [20] 24,disaster [20] #draas,learn [20] learn,#infographic Top Word Pairs in Tweet in G7:
[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 G8:
[51] 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 G9:
[26] disaster,response [17] good,see [17] see,local [17] local,#openstreetmap [17] #openstreetmap,communities [17] communities,taking [17] taking,lead [17] lead,using [17] using,open [17] open,mapping Top Word Pairs in Tweet in G10:
[67] disaster,recovery [60] thrilled,working [60] working,southerlymag [60] southerlymag,initiative [60] initiative,shape [60] shape,disaster [60] recovery,coverage [60] coverage,south [59] amalahmed214,thrilled [11] increased,testing 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 G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: