The graph represents a network of 5,825 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, 17 September 2022 at 19:15 UTC.
The requested start date was Saturday, 17 September 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 13-day, 22-hour, 55-minute period from Saturday, 03 September 2022 at 00:03 UTC to Friday, 16 September 2022 at 22:58 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 : 5825
Unique Edges : 3223
Edges With Duplicates : 7846
Total Edges : 11069
Number of Edge Types : 5
Retweet : 3516
MentionsInRetweet : 4655
Tweet : 1635
Replies to : 296
Mentions : 967
Self-Loops : 1668
Reciprocated Vertex Pair Ratio : 0.0170012660517273
Reciprocated Edge Ratio : 0.0334341099057443
Connected Components : 1489
Single-Vertex Connected Components : 873
Maximum Vertices in a Connected Component : 561
Maximum Edges in a Connected Component : 1635
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 4.59018
Graph Density : 0.000165748950620195
Modularity : 0.543736
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,825 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, 17 September 2022 at 19:15 UTC.
The requested start date was Saturday, 17 September 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 13-day, 22-hour, 55-minute period from Saturday, 03 September 2022 at 00:03 UTC to Friday, 16 September 2022 at 22:58 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:
[1974] disaster,recovery [1684] disaster,response [429] natural,disaster [379] here's,list [379] list,issues [379] issues,currently [379] currently,being [379] being,dealt [379] dealt,parliament [379] parliament,dealt Top Word Pairs in Tweet in G1:
[633] disaster,recovery [282] disaster,response [101] national,preparedness [101] preparedness,month [97] september,national [72] recovery,plan [71] business,continuity [69] month,time [69] time,disaster [69] response,draft Top Word Pairs in Tweet in G2:
[378] here's,list [378] list,issues [378] issues,currently [378] currently,being [378] being,dealt [378] dealt,parliament [378] parliament,dealt [378] dealt,96 [378] 96,year [378] year,old Top Word Pairs in Tweet in G3:
[348] familiar,waffle [348] waffle,house [348] house,index [348] index,regards [348] regards,natural [348] natural,disaster [348] disaster,response [348] response,think [348] think,apply [348] apply,something Top Word Pairs in Tweet in G4:
[228] extremely,grateful [228] grateful,adarniya [228] adarniya,pm [228] pm,shri [228] shri,narendramodi [228] narendramodi,ji [228] ji,adarniya [228] adarniya,hm [228] hm,shri [228] shri,amitshah Top Word Pairs in Tweet in G5:
[157] disaster,recovery [154] hey,look [154] look,disaster [154] recovery,tool [154] tool,entrenching [154] entrenching,neoliberalism [154] neoliberalism,wow [153] wesinjapan,hey [2] starting,disaster [2] recovery,class Top Word Pairs in Tweet in G6:
[145] chairwoman,committee [145] committee,oversees [145] oversees,fema [145] fema,believe [145] believe,prepared [145] prepared,anything [145] anything,disaster [145] disaster,strikes [144] repvaldemings,chairwoman [7] billion,obligated Top Word Pairs in Tweet in G7:
[145] tcs,tech [145] tech,mahindra [145] mahindra,wipro [145] wipro,hcl [145] hcl,infosys [145] infosys,big [145] big,tech [145] tech,companies [145] companies,make [145] make,billions Top Word Pairs in Tweet in G8:
[139] disaster,response [132] fired,commitment [132] commitment,outbreak [132] outbreak,fire [132] fire,levana [132] levana,hotel [132] hotel,lucknow [132] lucknow,bulwark [132] bulwark,disaster [132] response,sdrf_up Top Word Pairs in Tweet in G9:
[126] normal,world [126] world,country [126] country,taken [126] taken,lead [126] lead,organising [126] organising,disaster [126] disaster,response [126] response,pakistan's [126] pakistan's,floods [125] omairtahmad,normal Top Word Pairs in Tweet in G10:
[58] gobi,wolf [58] wolf,2022 [57] opening,ceremony [46] six,day [45] 2022,kicks [45] kicks,opening [45] ceremony,six [45] day,exercise [45] exercise,part [45] part,pacific Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G7:
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: