%22disaster recovery%22 OR %22disaster response%22, Twitter, 9/17/2022 7:30:01 PM, 281985


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%22disaster recovery%22 OR %22disaster response%22_2022-09-17_12-09-37.xlsx
"disaster recovery" OR "disaster response"_2022-09-17_12-09-37.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 17, 2022
Short Description:
"disaster recovery" OR "disaster response" via NodeXL https://bit.ly/3xtRbFq
@dragonflyjonez
@wesinjapan
@piersmitchem
@usarmy
@repvaldemings
@noconversion
@unwomenpacific
@deptofdefense
@southcom
@usarpac

Top hashtags:
#disasterrecovery
#businesscontinuity

Description:
Description
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


Overall Graph Metrics
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[46] https://www.army.mil/article/259987
[46] https://store.theartofservice.com/disaster-recovery-critical-capabilities/
[27] https://www.army.mil/article/259678?dmd
[19] https://www.techtarget.com/searchnetworking/tip/Tips-to-prepare-for-a-network-disaster-recovery-audit
[14] https://unwomen.zoom.us/webinar/register/WN_cbVhBkwKQTGc_VtM0FCQ7A
[13] https://www.atomikos.com/Blog/DisasterRecoveryAndXAPart1TheProblem?Source=twitter
[13] https://www.atomikos.com/Blog/DisasterRecoveryReleasingAfterTheApocalypse?Source=twitter
[12] https://docs.house.gov/floor/Default.aspx?date=2022-09-12
[11] https://store.theartofservice.com/business-continuity-critical-capabilities/
[11] https://www.100daysinappalachia.com/2022/08/kentucky-flooding-tests-faith-based-disaster-response-in-appalachia-as-church-membership-declines/

Top URLs in Tweet in G1:
[12] https://docs.house.gov/floor/Default.aspx?date=2022-09-12
[7] https://sankalpit.com/blog/solution-for-data-protection-and-disaster-recovery/
[6] https://www.delltechnologies.com/asset/en-us/products/storage/briefs-summaries/top-5-reasons-powermax-for-cloud.pdf
[6] https://www.trialsitenews.com/a/state-level-high-court-to-indian-national-disaster-response-agency-set-up-covid-19-vaccine-injury-framework-asap-8d7c2f1d
[5] https://www.thefridaytimes.com/2022/08/22/torrential-rains-bring-misery-to-people-of-saraiki-wasaib-region-as-disaster-recovery-effort-remains-missing/
[5] |
[4] https://usps-mailin-it.simplecast.com/episodes/the-postal-services-critical-role-in-disaster-response
[4] https://okt.to/Uk3pHT
[4] https://www.legalfutures.co.uk/blog/how-to-create-a-disaster-recovery-plan-for-your-law-firm
[4] https://www.manilatimes.net/2022/09/10/business/green-industries/childfund-model-for-disaster-response/1857883

Top URLs in Tweet in G2:
[1] https://www.climate.gov/news-features/blogs/enso/meet-enso%E2%80%99s-neighbor-indian-ocean-dipole#
[1] https://twitter.com/abcnews/status/1569920522816999424

Top URLs in Tweet in G5:
[8] https://twitter.com/ashtonpittman/status/1566846337542496257

Top URLs in Tweet in G10:
[45] https://www.army.mil/article/259987
[26] https://www.army.mil/article/259678?dmd
[2] https://volpeusdot.github.io/RDR-Public/
[1] https://www.thedefensepost.com/2022/09/15/australia-defense-vessel-timor-leste/
[1] https://www.dvidshub.net/feature/GobiWolf

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[175] disasterrecovery
[63] businesscontinuity
[55] cloud
[52] backup
[50] disaster
[39] apmcdrr
[33] data
[33] cybersecurity
[32] recovery
[29] azure



Top Hashtags in Tweet in G1:
[49] disasterrecovery
[27] tetratechjobs
[18] cloud
[17] disaster
[15] nationalpreparednessmonth
[13] data
[13] backup
[11] it
[8] september
[8] recovery

Top Hashtags in Tweet in G8:
[1] uppolice
[1] amritmahotsav
[1] sdrfup

Top Hashtags in Tweet in G10:
[4] tradewinds22
[3] caribbean
[2] belize
[2] mexico
[2] southcom
[1] harborproud
[1] mcoe22
[1] australia
[1] adf
[1] reliant

Top Words
Top Words in Tweet in Entire Graph:
[4336] disaster
[2120] recovery
[1808] response
[758] dealt
[750] ø
[500] ù
[488] natural
[464] ji
[459] shri
[458] adarniya

Top Words in Tweet in G1:
[1083] disaster
[683] recovery
[307] response
[160] business
[138] draft
[131] month
[125] plan
[122] more
[120] september
[120] preparedness

Top Words in Tweet in G2:
[756] dealt
[378] here's
[378] list
[378] issues
[378] currently
[378] being
[378] parliament
[378] 96
[378] year
[378] old

Top Words in Tweet in G3:
[348] familiar
[348] waffle
[348] house
[348] index
[348] regards
[348] natural
[348] disaster
[348] response
[348] think
[348] apply

Top Words in Tweet in G4:
[456] adarniya
[456] shri
[456] ji
[228] extremely
[228] grateful
[228] pm
[228] narendramodi
[228] hm
[228] amitshah
[228] release

Top Words in Tweet in G5:
[159] disaster
[157] recovery
[154] wesinjapan
[154] hey
[154] look
[154] tool
[154] entrenching
[154] neoliberalism
[154] wow
[3] something

Top Words in Tweet in G6:
[147] disaster
[146] fema
[145] chairwoman
[145] committee
[145] oversees
[145] believe
[145] prepared
[145] anything
[145] strikes
[144] repvaldemings

Top Words in Tweet in G7:
[290] tech
[148] disaster
[147] noconversion
[145] tcs
[145] mahindra
[145] wipro
[145] hcl
[145] infosys
[145] big
[145] companies

Top Words in Tweet in G8:
[142] sdrf_up
[139] uppolice
[139] disaster
[139] response
[133] fire
[132] fired
[132] commitment
[132] outbreak
[132] levana
[132] hotel

Top Words in Tweet in G9:
[127] world
[126] normal
[126] country
[126] taken
[126] lead
[126] organising
[126] disaster
[126] response
[126] pakistan's
[126] floods

Top Words in Tweet in G10:
[75] usarmy
[72] day
[70] exercise
[58] gobi
[58] wolf
[58] 2022
[57] opening
[57] ceremony
[51] disaster
[46] six

Top Word Pairs
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
Top Mentioned
Top Mentioned in Entire Graph:
@piersmitchem
@dragonflyjonez
@narendramodi
@amitshah
@himantabiswa
@wesinjapan
@noconversion
@repvaldemings
@sdrf_up
@uppolice

Top Mentioned in G1:
@smritivan
@ijmhn
@mckellinstitute
@systemsagj
@strategy_gal
@cutlassmagazine
@karrimorsf
@eddyfontaine
@anspired_
@servproofdaneco

Top Mentioned in G2:
@piersmitchem
@actinosproject

Top Mentioned in G3:
@dragonflyjonez

Top Mentioned in G4:
@narendramodi
@amitshah
@himantabiswa
@noconversion

Top Mentioned in G5:
@wesinjapan
@dragonflyjonez

Top Mentioned in G6:
@repvaldemings
@staceyplaskett

Top Mentioned in G7:
@noconversion

Top Mentioned in G8:
@sdrf_up
@uppolice
@himantabiswa
@narendramodi
@amitshah
@ndrfhq
@fireserviceup

Top Mentioned in G9:
@omairtahmad

Top Mentioned in G10:
@usarmy
@usarpac
@baesystemsinc
@harboruclaem
@usairforce
@usmissionbelize
@jtfbravo
@southcom
@deptofdefense
@volpeusdot

Top Tweeters
Top Tweeters in Entire Graph:
@pulpnews
@sectest9
@chidambara09
@tmobilehelp
@jurylady5
@robinsnewswire
@xaelbot
@rk70534
@56perumal
@cybersecurityn8

Top Tweeters in G1:
@pulpnews
@toicitiesnews
@abscbnnews
@mmda
@philippinestar
@twelvebot
@evanderburg
@jeguru1
@anamafalda1992
@miragenewscom

Top Tweeters in G2:
@jurylady5
@inpoco
@thebigship
@4evrstardancer
@bigvapingnunga
@eve5810
@beattiengiare
@kate_eviva
@micksterl_1
@njokingumi

Top Tweeters in G3:
@bunrxm
@bloggedbyrain
@carmillalusta
@barkyboogz
@bayfromva
@ashambitious_
@dragonflyjonez
@covingtonq
@da1nonlycmart
@reggie_isdead

Top Tweeters in G4:
@hindustanse
@manesha76
@gandhigoldy
@blackndwhite12
@sweety06821430
@vinayindspeaks
@dalipdutta
@_kyachahteho
@ramji370
@mahendr68722951

Top Tweeters in G5:
@cnbsnana
@virgoj24
@_nurseratchet
@kirkmurphy
@maxamaxim
@nslayton
@chilepeppermama
@nothingsmonstrd
@inkedbutta
@rgc_bppa

Top Tweeters in G6:
@tottenbill
@debr3322
@tallyannae
@zardoz420wpn
@feinberg_linda
@victory1261
@drmaggiesa
@webehealthy
@bassher
@kdavcor

Top Tweeters in G7:
@sureshm46
@_dharam_vir
@pokaabhii
@hustler81
@akg316arvind
@1420kunal
@aryavart_bhumi
@jairamkhemka
@sachinchandel28
@sen_sindh

Top Tweeters in G8:
@uppolice
@digmoradabad
@honey9834
@satyana91119383
@adgzonekanpur
@adgzonebareilly
@rangejhansi
@igrangekanpur
@noidapolice
@imsudhakararao

Top Tweeters in G9:
@sinemetuvivere
@sunjayjk
@shonatiger
@bremsstrahlunng
@mrskota
@syedmoinuddin06
@indiegourmand
@beinders
@north_easton
@2sitwat1

Top Tweeters in G10:
@wadakashiho
@guts_ya
@youma9000
@alexcan83126283
@christahoelter2
@bellodipper
@turgut_guliyev
@nordicgeo
@l1_5em
@gonzaloghin_