The graph represents a network of 6,762 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, 30 July 2022 at 19:16 UTC.
The requested start date was Saturday, 30 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 9-day, 17-hour, 20-minute period from Wednesday, 20 July 2022 at 06:39 UTC to Saturday, 30 July 2022 at 00:00 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 : 6762
Unique Edges : 2847
Edges With Duplicates : 11608
Total Edges : 14455
Number of Edge Types : 5
Tweet : 1516
Mentions : 883
Retweet : 5350
MentionsInRetweet : 6330
Replies to : 376
Self-Loops : 1547
Reciprocated Vertex Pair Ratio : 0.008082497212932
Reciprocated Edge Ratio : 0.0160353884434614
Connected Components : 1210
Single-Vertex Connected Components : 706
Maximum Vertices in a Connected Component : 1534
Maximum Edges in a Connected Component : 4242
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.381178
Graph Density : 0.00015823130214125
Modularity : 0.511397
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,762 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, 30 July 2022 at 19:16 UTC.
The requested start date was Saturday, 30 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 9-day, 17-hour, 20-minute period from Wednesday, 20 July 2022 at 06:39 UTC to Saturday, 30 July 2022 at 00:00 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:
[2507] disaster,response [1882] disaster,recovery [1118] times,natural [1115] central,government [1114] bjp,central [1114] government,turned [1114] turned,blind [1114] blind,eye [1114] eye,sufferings [1114] sufferings,people Top Word Pairs in Tweet in G1:
[1111] bjp,central [1111] central,government [1111] government,turned [1111] turned,blind [1111] blind,eye [1111] eye,sufferings [1111] sufferings,people [1111] people,telangana [1111] telangana,times [1111] times,natural Top Word Pairs in Tweet in G2:
[623] disaster,recovery [191] disaster,response [113] recovery,plan [41] learn,more [38] business,continuity [36] backup,disaster [31] read,blog [30] plan,read [23] continuity,disaster [20] recovery,service Top Word Pairs in Tweet in G3:
[634] disaster,response [483] response,fund [456] farmhouse,family [456] family,seems [456] seems,clueless [456] clueless,disaster [456] fund,operates [456] operates,india [456] india,making [456] making,misleading Top Word Pairs in Tweet in G4:
[571] know,less [571] less,funding [571] funding,disaster [571] disaster,response [571] response,prearranged [571] prearranged,advance [571] advance,take [571] take,look [571] look,insurance [570] centrefordp,know Top Word Pairs in Tweet in G5:
[201] disaster,response [178] president,bbm [178] bbm,disaster [178] disaster,areas [178] areas,mean [178] mean,doing [178] doing,anything [178] anything,manage [171] cryptonaticleon,president [171] manage,dis Top Word Pairs in Tweet in G6:
[267] marcos,jr [139] naman,maniningil' [139] maniningil',paz [139] paz,abra [139] abra,mayor [139] mayor,joseph [139] joseph,bernos [139] bernos,one [139] one,wish [139] wish,ferdinand Top Word Pairs in Tweet in G7:
[217] magnitude,quake [217] quake,struck [217] struck,northern [217] northern,ph [217] ph,earlier [217] earlier,today [217] today,mukhang [217] mukhang,kailangan [217] kailangan,nating [217] nating,prioritize Top Word Pairs in Tweet in G8:
[175] special,envoy [172] disaster,recovery [165] envoy,disaster [126] role,special [90] working,murraywatt [89] very,honoured [89] honoured,take [89] take,role [89] recovery,working [88] senator_sheldon,very Top Word Pairs in Tweet in G9:
[243] disaster,recovery [59] business,continuity [34] #disasterrecovery,#recovery [33] recovery,plan [23] incident,response [23] #disasterrecovery,#disaster [23] recovery,plans [19] #backup,software [19] software,considered [19] considered,insurance Top Word Pairs in Tweet in G10:
[122] died,week [121] 11,512 [121] 512,dead [121] dead,covid [121] covid,today [121] today,500 [121] 500,people [121] people,died [121] week,alone [121] alone,isn 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 G5:
Top Replied-To in G6:
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: