The graph represents a network of 6,483 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, 25 September 2021 at 19:10 UTC.
The requested start date was Saturday, 25 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 13-day, 17-hour, 2-minute period from Saturday, 11 September 2021 at 00:03 UTC to Friday, 24 September 2021 at 17:05 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 : 6483
Unique Edges : 4404
Edges With Duplicates : 8791
Total Edges : 13195
Number of Edge Types : 5
MentionsInRetweet : 5208
Mentions : 1825
Retweet : 3661
Tweet : 2144
Replies to : 357
Self-Loops : 2203
Reciprocated Vertex Pair Ratio : 0.024582560296846
Reciprocated Edge Ratio : 0.0479855138071526
Connected Components : 1804
Single-Vertex Connected Components : 1044
Maximum Vertices in a Connected Component : 2180
Maximum Edges in a Connected Component : 6506
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.087468
Graph Density : 0.000157700083140569
Modularity : 0.533016
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,483 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, 25 September 2021 at 19:10 UTC.
The requested start date was Saturday, 25 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 13-day, 17-hour, 2-minute period from Saturday, 11 September 2021 at 00:03 UTC to Friday, 24 September 2021 at 17:05 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:
[3056] disaster,recovery [1528] disaster,response [504] recovery,center [274] cq,cq [248] recovery,centers [240] hurricane,ida [230] natural,disaster [215] four,years [214] fema,disaster [213] puerto,rico Top Word Pairs in Tweet in G1:
[845] disaster,recovery [220] disaster,response [98] business,continuity [70] recovery,plan [59] recovery,center [57] hurricane,ida [51] backup,disaster [50] recovery,business [43] link,bio [40] continuity,disaster Top Word Pairs in Tweet in G2:
[353] disaster,recovery [166] recovery,center [120] recovery,centers [91] fema,disaster [62] opened,disaster [54] fema,opened [37] disaster,response [37] ltgrusselhonore,fema [32] center,queens [30] impacted,#ida Top Word Pairs in Tweet in G3:
[375] disaster,recovery [48] recovery,journal [41] business,continuity [37] recovery,compliance [37] compliance,cloud [37] cloud,part [34] recovery,plan [28] part,common [28] common,misconceptions [23] reach2ratan,disaster Top Word Pairs in Tweet in G4:
[208] today,remember [207] four,years [207] years,#hurricanemaria [207] #hurricanemaria,devastated [207] devastated,puerto [207] puerto,rico [207] rico,virgin [207] virgin,islands [207] islands,today [206] senwarren,four Top Word Pairs in Tweet in G5:
[146] disaster,response [142] louisiana,trend [142] trend,setting [142] setting,world [142] world,leader [142] leader,disaster [142] response,time [142] time,natural [142] natural,disaster [142] disaster,strikes Top Word Pairs in Tweet in G6:
[268] cq,cq [134] cq,tune [134] tune,#amateurradio [134] #amateurradio,meets [134] meets,edge [134] edge,computing [134] computing,keep [134] keep,disaster [134] disaster,response [134] response,teams Top Word Pairs in Tweet in G7:
[84] disaster,recovery [46] disasters,happen [46] happen,anywhere [46] anywhere,everyone [46] everyone,play [46] play,part [46] part,preparing [46] preparing,help [46] help,protect [46] protect,children Top Word Pairs in Tweet in G8:
[59] tore,highrise [59] highrise,building [59] building,dalian [59] dalian,china [59] china,partner [59] partner,vshine [59] vshine,assisted [59] assisted,saving [59] saving,21 [59] 21,animals Top Word Pairs in Tweet in G9:
[32] disaster,recovery [31] pointe,chien [31] chien,indian [16] ida,relief [16] ida,slammed [16] slammed,pointe [16] indian,community [16] community,800 [16] 800,tribal [16] tribal,citizens Top Word Pairs in Tweet in G10:
[80] louisiana,state [80] state,known [80] known,being [80] being,hit [80] hit,hurricanes [80] hurricanes,100 [80] 100,residents [80] residents,incarcerated [80] incarcerated,highest [80] highest,rate Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
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: