The graph represents a network of 7,078 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, 16 April 2022 at 19:08 UTC.
The requested start date was Saturday, 16 April 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 11-day, 7-hour, 23-minute period from Monday, 04 April 2022 at 16:26 UTC to Friday, 15 April 2022 at 23:50 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 : 7078
Unique Edges : 3640
Edges With Duplicates : 11410
Total Edges : 15050
Number of Edge Types : 5
Retweet : 5195
MentionsInRetweet : 6807
Tweet : 1610
Mentions : 1109
Replies to : 329
Self-Loops : 1649
Reciprocated Vertex Pair Ratio : 0.0110135046545168
Reciprocated Edge Ratio : 0.0217870574503955
Connected Components : 1475
Single-Vertex Connected Components : 850
Maximum Vertices in a Connected Component : 2072
Maximum Edges in a Connected Component : 5538
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 4.045623
Graph Density : 0.000153939811071073
Modularity : 0.523199
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,078 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, 16 April 2022 at 19:08 UTC.
The requested start date was Saturday, 16 April 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 11-day, 7-hour, 23-minute period from Monday, 04 April 2022 at 16:26 UTC to Friday, 15 April 2022 at 23:50 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:
[2765] disaster,response [1975] disaster,recovery [1716] capacity,building [1697] conference,capacity [1580] building,disaster [1560] response,2022 [1145] annual,conference [959] bhawan,delhi [925] vigyan,bhawan [922] addressing,annual Top Word Pairs in Tweet in G1:
[1657] capacity,building [1641] conference,capacity [1537] disaster,response [1522] building,disaster [1519] response,2022 [1102] annual,conference [946] bhawan,delhi [917] addressing,annual [909] vigyan,bhawan [903] 2022,vigyan Top Word Pairs in Tweet in G2:
[619] disaster,recovery [236] disaster,response [60] business,continuity [52] cross,regional [51] regional,disaster [50] recovery,elasticsearch [49] recovery,plan [41] recovery,service [39] learn,more [37] backup,disaster Top Word Pairs in Tweet in G3:
[280] watch,seema [280] seema,praharis [280] praharis,dismantle [280] dismantle,reassemble [280] reassemble,light [280] light,motor [280] motor,vehicle [280] vehicle,demonstration [280] demonstration,obstacle [280] obstacle,crossing Top Word Pairs in Tweet in G4:
[217] breaking,#supremecourt [217] #supremecourt,takes [217] takes,very [217] very,serious [217] serious,view [217] view,allegation [217] allegation,#andhrapradesh [217] #andhrapradesh,diverted [217] diverted,state [217] state,disaster Top Word Pairs in Tweet in G5:
[214] jharkhand,cable [214] cable,cars [214] cars,mishap [214] mishap,rescue [214] rescue,operation [214] operation,completed [214] completed,cm [214] cm,hemant [214] hemant,soren [214] soren,thanks Top Word Pairs in Tweet in G6:
[260] disaster,recovery [70] backup,disaster [48] software,ag [47] business,continuity [42] kasten,veeam [31] kubernetes,backup [27] cross,regional [26] recovery,business [25] backup,recovery [25] regional,disaster Top Word Pairs in Tweet in G7:
[156] raphaelraduzzi,alternativa_it [154] hansscholl11,raphaelraduzzi [154] alternativa_it,io [154] io,voglio [154] voglio,greenpass [154] greenpass,venga [154] venga,abolito [154] abolito,server [154] server,disinstallati [154] disinstallati,backup Top Word Pairs in Tweet in G8:
[98] surely,devastation [98] devastation,loss [98] loss,life [98] life,caused [98] caused,kzn [98] kzn,floods [98] floods,warrant [98] warrant,provincial [98] provincial,state [98] state,disaster Top Word Pairs in Tweet in G9:
[32] disaster,response [30] disaster,recovery [15] truth,level [15] level,support [15] support,available [15] available,disaster [15] response,depends [15] depends,political [15] political,decisions [15] decisions,within Top Word Pairs in Tweet in G10:
[83] disaster,recovery [33] recovery,journal [12] high,availability [12] availability,disaster [12] recovery,sql [12] sql,server [11] server,azure [11] azure,sql [11] recovery,act [10] recovery,service Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
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: