The graph represents a network of 6,779 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 November 2021 at 20:10 UTC.
The requested start date was Saturday, 27 November 2021 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 13-day, 16-hour, 0-minute period from Saturday, 13 November 2021 at 01:09 UTC to Friday, 26 November 2021 at 17:10 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 : 6779
Unique Edges : 4259
Edges With Duplicates : 9649
Total Edges : 13908
Number of Edge Types : 5
Retweet : 4285
MentionsInRetweet : 6284
Mentions : 1555
Tweet : 1475
Replies to : 309
Self-Loops : 1515
Reciprocated Vertex Pair Ratio : 0.013607257203842
Reciprocated Edge Ratio : 0.0268491708344301
Connected Components : 1388
Single-Vertex Connected Components : 775
Maximum Vertices in a Connected Component : 1076
Maximum Edges in a Connected Component : 3712
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.798593
Graph Density : 0.000165360619562148
Modularity : 0.565296
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,779 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 November 2021 at 20:10 UTC.
The requested start date was Saturday, 27 November 2021 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 13-day, 16-hour, 0-minute period from Saturday, 13 November 2021 at 01:09 UTC to Friday, 26 November 2021 at 17:10 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:
[2568] disaster,recovery [1619] disaster,response [898] health,crisis [897] ito,isipin [897] isipin,mong [897] mong,mabuti [897] mabuti,binago [897] binago,leni [897] leni,ang [897] ang,isang Top Word Pairs in Tweet in G1:
[897] ito,isipin [897] isipin,mong [897] mong,mabuti [897] mabuti,binago [897] binago,leni [897] leni,ang [897] ang,isang [897] isang,purely [897] purely,ceremonial [897] ceremonial,office Top Word Pairs in Tweet in G2:
[632] disaster,recovery [202] disaster,response [66] business,continuity [60] recovery,plan [48] backup,disaster [37] learn,more [25] recovery,service [25] elastic,disaster [23] plan,disaster [20] response,force Top Word Pairs in Tweet in G3:
[361] strategic,alliance [294] disaster,recovery [284] recovery,platform [234] enable,disaster [222] deloitte,formed [198] alliance,avalabsofficial [192] formed,strategic [173] alliance,technology [171] technology,firm [171] ava,labs Top Word Pairs in Tweet in G4:
[345] disaster,recovery [345] fund,spent [289] scott,morrison's [289] morrison's,billion [289] billion,dollar [289] dollar,disaster [289] disaster,fund [289] spent,single [289] single,cent [285] cent,disaster Top Word Pairs in Tweet in G5:
[222] pm,cares [222] cares,national [222] national,disaster [222] disaster,response [222] response,fund [222] fund,excuse [222] excuse,duty [222] duty,fuel [222] fuel,government [222] government,really Top Word Pairs in Tweet in G6:
[86] disaster,response [27] disaster,recovery [22] hosting,disaster [22] recovery,webinar [22] webinar,residents [22] residents,evacuees [22] evacuees,affected [22] affected,recent [22] recent,flooding [22] flooding,events Top Word Pairs in Tweet in G7:
[166] pm,cares [166] cares,national [166] national,disaster [166] disaster,response [166] response,fund [166] fund,excuse [166] excuse,duty [166] duty,fuel [166] fuel,government [166] government,really Top Word Pairs in Tweet in G8:
[144] disaster,recovery [70] recovery,center [68] fema,disaster [66] recovery,centers [39] disaster,response [35] hurricane,ida [34] close,permanently [33] residents,affected [28] affected,hurricane [27] #connecticut,residents Top Word Pairs in Tweet in G9:
[92] disaster,recovery [28] high,availability [26] recovery,journal [16] recovery,plan [16] failover,cloud [16] cloud,restore [16] restore,back [16] back,prem [16] prem,first [16] first,time Top Word Pairs in Tweet in G10:
[26] please,share [26] share,photos [26] photos,showing [26] showing,flood [26] flood,damage [26] damage,public [26] public,infrastructure [26] infrastructure,roads [26] roads,bridges [26] bridges,culverts Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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: