The graph represents a network of 6,057 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, 09 July 2022 at 19:17 UTC.
The requested start date was Saturday, 09 July 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 12-day, 17-hour, 4-minute period from Saturday, 25 June 2022 at 00:07 UTC to Thursday, 07 July 2022 at 17:12 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 : 6057
Unique Edges : 2937
Edges With Duplicates : 9331
Total Edges : 12268
Number of Edge Types : 5
Tweet : 1337
Mentions : 956
Retweet : 4312
MentionsInRetweet : 5358
Replies to : 305
Self-Loops : 1394
Reciprocated Vertex Pair Ratio : 0.00909235922794704
Reciprocated Edge Ratio : 0.018020866266203
Connected Components : 1198
Single-Vertex Connected Components : 655
Maximum Vertices in a Connected Component : 1433
Maximum Edges in a Connected Component : 3598
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.31073
Graph Density : 0.000172458953896591
Modularity : 0.529092
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,057 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, 09 July 2022 at 19:17 UTC.
The requested start date was Saturday, 09 July 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 12-day, 17-hour, 4-minute period from Saturday, 25 June 2022 at 00:07 UTC to Thursday, 07 July 2022 at 17:12 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:
[2669] disaster,recovery [1297] disaster,response [729] angat,buhay [706] leni,robredo [532] vp,leni [530] robredo,formally [530] formally,launched [530] launched,angat [530] buhay,known [530] known,angat Top Word Pairs in Tweet in G1:
[726] angat,buhay [705] leni,robredo [529] vp,leni [529] robredo,formally [529] formally,launched [529] launched,angat [529] buhay,known [529] known,angat [529] angat,pinas [529] pinas,inc Top Word Pairs in Tweet in G2:
[768] disaster,recovery [331] flood,victims [324] jim,chalmers [324] chalmers,confirmed [324] confirmed,disaster [324] recovery,funding [324] funding,arrangements [324] arrangements,kicked [324] kicked,flood [324] victims,nsw Top Word Pairs in Tweet in G3:
[555] disaster,recovery [163] disaster,response [59] business,continuity [51] recovery,plan [51] bar,associations [47] federation,bar [43] japan,federation [41] associations,disaster [36] countermeasure,manual [34] disaster,countermeasure Top Word Pairs in Tweet in G4:
[252] okay,downtown [252] downtown,helena [252] helena,flooding [252] flooding,feel [252] feel,duty [252] duty,someone [252] someone,deals [252] deals,disaster [252] disaster,response [252] response,tell Top Word Pairs in Tweet in G5:
[209] disaster,recovery [120] recovery,payments [113] payments,allowances [107] serious,questions [107] re,nsw [107] nsw,floods [107] activated,disaster [106] sussanley,serious [106] questions,albomp [106] albomp,answer Top Word Pairs in Tweet in G6:
[165] re,immensely [165] immensely,grateful [165] grateful,hon [165] hon,pm [165] pm,shri [165] shri,narendramodi [165] narendramodi,ji [165] ji,generous [165] generous,act [165] act,central Top Word Pairs in Tweet in G7:
[71] disaster,recovery [52] third,party [51] #avalanche,irl [51] deloitte,firm [49] enterprises,building [49] building,#avalanche [49] irl,start [49] start,deloitte [49] firm,using [49] using,avalanche's Top Word Pairs in Tweet in G8:
[131] disaster,recovery [19] set,disaster [19] recovery,azure [19] azure,iaas [19] iaas,vms [19] vms,co [19] co,bsn4a0wmld [19] bsn4a0wmld,#azure [19] #azure,#azops [19] #azops,#dr Top Word Pairs in Tweet in G9:
[103] disaster,response [93] response,organization [53] veteran,led [53] led,disaster [48] team,rubicon [48] rubicon,disaster [48] organization,greyshirts [48] greyshirts,provide [48] provide,humanitarian [48] humanitarian,aid Top Word Pairs in Tweet in G10:
[79] disaster,response [48] #watch,continuation [48] continuation,humanitarian [48] humanitarian,assistance [48] assistance,disaster [48] response,efforts [48] efforts,provide [48] provide,relief [48] relief,succour [48] succour,#meghalaya Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: