The graph represents a network of 6,377 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, 27 August 2022 at 19:16 UTC.
The requested start date was Saturday, 27 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, 34-minute period from Saturday, 13 August 2022 at 00:17 UTC to Friday, 26 August 2022 at 23:52 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 : 6377
Unique Edges : 3349
Edges With Duplicates : 9546
Total Edges : 12895
Number of Edge Types : 5
Retweet : 4093
MentionsInRetweet : 5373
Tweet : 1784
Mentions : 1238
Replies to : 407
Self-Loops : 1821
Reciprocated Vertex Pair Ratio : 0.0158134985327682
Reciprocated Edge Ratio : 0.0311346493339753
Connected Components : 1515
Single-Vertex Connected Components : 839
Maximum Vertices in a Connected Component : 849
Maximum Edges in a Connected Component : 2795
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.819623
Graph Density : 0.000153247368552568
Modularity : 0.516166
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,377 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, 27 August 2022 at 19:16 UTC.
The requested start date was Saturday, 27 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, 34-minute period from Saturday, 13 August 2022 at 00:17 UTC to Friday, 26 August 2022 at 23:52 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:
[2451] disaster,recovery [1640] disaster,response [508] mutual,aid [506] actually,counter [506] counter,far [506] far,right [506] right,comparative [506] comparative,dominance [506] dominance,rural [506] rural,areas Top Word Pairs in Tweet in G1:
[619] disaster,recovery [235] disaster,response [67] recovery,plan [58] business,continuity [54] learn,more [37] continuity,disaster [27] response,team [26] recovery,center [21] tetra,tech [21] response,drills Top Word Pairs in Tweet in G2:
[504] actually,counter [504] counter,far [504] far,right [504] right,comparative [504] comparative,dominance [504] dominance,rural [504] rural,areas [504] areas,thing [504] thing,build [504] build,mutual Top Word Pairs in Tweet in G3:
[313] disaster,recovery [233] recovery,center [231] fema,disaster [204] st,louis [97] center,open [86] 8am,7pm [79] louis,county [65] recovery,centers [64] centers,open [56] missouri,fema Top Word Pairs in Tweet in G4:
[242] national,assembly [242] assembly,inviting [242] inviting,monitoring [242] monitoring,evaluation [242] evaluation,team [242] team,ministry [242] ministry,humanitarian [242] humanitarian,affairs [242] affairs,disaster [241] fs_yusuf_,national Top Word Pairs in Tweet in G5:
[152] disaster,response [151] flag,bearers [151] bearers,disaster [151] response,spectacular [151] spectacular,show [151] show,sdrf_up [151] sdrf_up,flood [151] flood,company [151] company,32nd [151] 32nd,bn Top Word Pairs in Tweet in G6:
[318] disaster,recovery [59] regional,disaster [53] business,continuity [46] organization,needs [46] needs,regional [46] build,kubernetes [39] recovery,plan [35] recovery,build [29] continuity,disaster [24] cloud,native Top Word Pairs in Tweet in G7:
[90] disaster,response [47] ndma,disaster [47] response,teams [47] teams,need [47] need,dragged [47] dragged,court [47] court,enjoined [47] enjoined,act [47] act,held [47] held,responsible Top Word Pairs in Tweet in G8:
[117] connecting,directly [117] directly,existing [117] existing,cell [117] cell,phone [117] phone,starlink [117] starlink,start [117] start,next [117] next,year [117] year,texting [117] texting,voice Top Word Pairs in Tweet in G9:
[171] disaster,response [89] response,team [78] humanitarian,assistance [78] assistance,disaster [50] sa,mga [48] 77th,infantry [48] infantry,battalion [47] team,ng [46] tingnan,humanitarian [46] ng,77th Top Word Pairs in Tweet in G10:
[126] disaster,response [99] rescue,operations [97] operations,explosion [88] response,teams [72] arcs,disaster [72] teams,continue [72] continue,supporting [72] supporting,rescue [72] explosion,surmalu [72] surmalu,market Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
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: