The graph represents a network of 4,852 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, 08 January 2022 at 20:07 UTC.
The requested start date was Saturday, 08 January 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 13-day, 23-hour, 48-minute period from Saturday, 25 December 2021 at 01:03 UTC to Saturday, 08 January 2022 at 00:52 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 : 4852
Unique Edges : 2463
Edges With Duplicates : 5947
Total Edges : 8410
Number of Edge Types : 5
Retweet : 2688
MentionsInRetweet : 3136
Mentions : 942
Replies to : 371
Tweet : 1273
Self-Loops : 1312
Reciprocated Vertex Pair Ratio : 0.0115107913669065
Reciprocated Edge Ratio : 0.0227596017069701
Connected Components : 1263
Single-Vertex Connected Components : 624
Maximum Vertices in a Connected Component : 340
Maximum Edges in a Connected Component : 874
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.945078
Graph Density : 0.000179206809756804
Modularity : 0.547211
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,852 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, 08 January 2022 at 20:07 UTC.
The requested start date was Saturday, 08 January 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 13-day, 23-hour, 48-minute period from Saturday, 25 December 2021 at 01:03 UTC to Saturday, 08 January 2022 at 00:52 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:
[1845] disaster,recovery [1596] disaster,response [348] recovery,plan [257] recovery,center [232] site,disaster [230] tell,site [229] iamjkeating,tell [188] making,disaster [187] run,president [187] president,dapat Top Word Pairs in Tweet in G1:
[430] disaster,recovery [224] disaster,response [43] recovery,plan [43] backup,disaster [27] learn,more [22] recovery,center [21] cloud,disaster [21] recovery,solution [18] business,continuity [15] response,fund Top Word Pairs in Tweet in G2:
[229] tell,site [229] site,disaster [229] disaster,recovery [229] recovery,plan [228] iamjkeating,tell Top Word Pairs in Tweet in G3:
[184] disaster,response [183] run,president [183] president,dapat [183] dapat,kaakibat [183] kaakibat,experience [183] experience,policy [183] policy,making [183] making,disaster [183] response,economics [183] economics,foreign Top Word Pairs in Tweet in G4:
[146] disaster,recovery [139] recovery,center [139] center,1755 [133] fema,opening [133] public,road [133] road,lafayette [132] lafayette,9am [132] 9am,7pm [117] 1755,south [117] south,public Top Word Pairs in Tweet in G5:
[104] disaster,recovery [57] recovery,center [31] recovery,centers [28] femaregion4,#kentucky [25] fema,assistance [20] marion,county [20] county,#kentucky [20] #kentucky,residents [20] residents,eligible [20] eligible,fema Top Word Pairs in Tweet in G6:
[117] disaster,recovery [24] recovery,plan [24] backup,disaster [22] recovery,services [22] sign,0207650028 [19] 0207650028,sales [19] sales,angani [19] angani,co [19] co,#cloudcomputing [16] business,continuity Top Word Pairs in Tweet in G7:
[79] president,founder [79] founder,becky [79] becky,robinson [79] robinson,feralbecky [79] feralbecky,back [79] back,ground [79] ground,mayfield [79] mayfield,kentucky [79] kentucky,many [79] many,cats Top Word Pairs in Tweet in G8:
[152] disaster,recovery [30] stateful,workloads [28] workloads,kubernetes [26] recovery,cloud [26] cloud,native [26] native,platforms [25] backup,disaster [23] platforms,critical [23] critical,stateful [21] kubernetes,#ai Top Word Pairs in Tweet in G9:
[74] disaster,response [32] humanitarian,assistance [32] assistance,disaster [30] response,hadr [29] 901st,brigade [29] brigade,relentlessly [29] relentlessly,conducts [29] conducts,humanitarian [29] hadr,operation [29] operation,severely Top Word Pairs in Tweet in G10:
[75] disaster,response [44] families,covid [44] covid,victims [44] rs,50 [44] 50,000 [40] response,fund [38] victims,delhi [38] delhi,soon [38] soon,rs [38] 000,disaster Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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: