ARkStorm, Twitter, 1/25/2024 12:56:56 AM, 294384


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ARkStorm Twitter NodeXL SNA Map and Report for Wednesday, 24 January 2024 at 23:52 UTC
ARkStorm Twitter NodeXL SNA Map and Report for Wednesday, 24 January 2024 at 23:52 UTC
From:
marc_smith
Uploaded on:
January 25, 2024
Short Description:
ARkStorm via NodeXL https://bit.ly/3Ueorwr
@weather_west
@fretmuch1
@daniellelangwa
@klxchad
@arkstormprepper
@youtube
@flowinguphill
@arkstorm
@jacobyfull75482
@jobyuji27650

Top hashtags:
#preppers
#prepper
#survivalists
#book
#arkstorm
#cawx
#tjpw
#noah_ghc

Description:
Description
The graph represents a network of 1,024 Twitter users whose recent tweets contained "ARkStorm", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 1/24/2024 3:52:23 PM. The network was obtained from Twitter on Thursday, 25 January 2024 at 00:38 UTC.

The tweets in the network were tweeted over the 1951-day, 10-hour, 1-minute period from Friday, 21 September 2018 at 13:50 UTC to Wednesday, 24 January 2024 at 23:51 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

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 : 1024
Unique Edges : 1089
Edges With Duplicates : 2546
Total Edges : 3635
Number of Edge Types : 9
Tweet : 1514
Replies to : 530
Quote : 114
MentionsInReplyTo : 383
Mentions : 721
MentionsInQuote : 21
Retweet : 233
MentionsInRetweet : 71
MentionsInQuoteReply : 48
Self-Loops : 1640
Reciprocated Vertex Pair Ratio : 0.0261121856866538
Reciprocated Edge Ratio : 0.0508953817153629
Connected Components : 199
Single-Vertex Connected Components : 135
Maximum Vertices in a Connected Component : 732
Maximum Edges in a Connected Component : 3276
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.295242
Graph Density : 0.00101283754887586
Modularity : 0.278241
NodeXL Version : 1.0.1.528
Data Import : The graph represents a network of 1,024 Twitter users whose recent tweets contained "ARkStorm", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 1/24/2024 3:52:23 PM. The network was obtained from Twitter on Thursday, 25 January 2024 at 00:38 UTC.

The tweets in the network were tweeted over the 1951-day, 10-hour, 1-minute period from Friday, 21 September 2018 at 13:50 UTC to Wednesday, 24 January 2024 at 23:51 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : ARkStorm
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 : In-Degree

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[289] https://buff.ly/3W9xcFz
[288] https://amzn.to/3CU6ZEb
[181] https://www.amazon.com/dp/B0098LAD1S/ref=cm_sw_r_tw_dp_GVRZ93W6K9C30K6GG5BW
[10] https://en.wikipedia.org/wiki/ARkStorm
[10] https://www.amazon.com/dp/B0CM1M1MHS?ref_=cm_sw_r_mwn_dp_64RWQ3K85752SFZTD3JK&language=en_US
[9] https://weatherwest.com/archives/16626
[7] https://www.spiegel.de/wissenschaft/kalifornien-arkstorm-warum-die-ueberschwemmungen-an-der-westkueste-ein-vorgeschmack-sind-a-1a2cf3ce-8c0c-400f-ae60-a67895417785
[7] https://en.m.wikipedia.org/wiki/ARkStorm
[5] https://www.science.org/doi/10.1126/sciadv.abq0995
[4] https://www.usgs.gov/programs/science-application-for-risk-reduction/science/arkstorm-scenario

Top URLs in Tweet in G2:
[5] https://en.m.wikipedia.org/wiki/ARkStorm
[3] https://www.usgs.gov/media/videos/arkstorm
[3] https://en.wikipedia.org/wiki/ARkStorm
[3] https://www.southerncaliforniaweatherforce.com/2023/03/01/warning-arkstorm-will-hit-mid-march-2023-all-the-snow-will-flood-the-lowlands-data-inside/
[2] https://www.nytimes.com/2023/06/22/magazine/california-dams.html
[2] https://www.vice.com/en/article/88qjpz/us-government-predicted-a-devastating-california-arkstorm-in-2010is-it-happening-now
[2] https://weatherwest.com/archives/16626
[2] https://www.usgs.gov/programs/science-application-for-risk-reduction/science/arkstorm-scenario
[2] https://trib.al/ZW3z2bt
[2] https://apple.news/Ar6vCSrvCR2SglTy0xDcbIA

Top URLs in Tweet in G3:
[3] https://www.science.org/doi/10.1126/sciadv.abq0995
[2] https://www.vice.com/en/article/88qjpz/us-government-predicted-a-devastating-california-arkstorm-in-2010is-it-happening-now
[2] https://weatherwest.com/archives/16626
[2] https://revkin.substack.com/p/californias-atmospheric-river-blitz
[2] https://www.latimes.com/environment/story/2023-01-18/california-faces-monumental-dangers-in-future-floods
[1] https://www.mdettinger.com/_files/ugd/3b5c57_2be8a6de4168419e9b9cb217669a1bef.pdf
[1] https://pubs.usgs.gov/of/2010/1312/
[1] https://www.koaa.com/news/national/california-hit-with-significant-atmospheric-river-90-of-state-under-flood-watch
[1] https://www.spiegel.de/wissenschaft/kalifornien-arkstorm-warum-die-ueberschwemmungen-an-der-westkueste-ein-vorgeschmack-sind-a-1a2cf3ce-8c0c-400f-ae60-a67895417785
[1] https://waterwatch.usgs.gov/?m=flood&r=ca&w=map

Top URLs in Tweet in G4:
[3] https://www.sbsun.com/the-great-flood-of-1862-left-devastation-in-its-path-across-the-state
[2] https://weatherwest.com/archives/16626
[2] https://lamag.com/news/how-an-arkstorm-could-wreak-havoc-on-los-angeles
[1] https://vimeo.com/19012969
[1] https://www.washingtonpost.com/weather/2023/01/03/california-west-coast-atmospheric-river/
[1] https://calmatters.org/commentary/2023/01/california-preparation-water-megastorm-flood/
[1] https://www.foxweather.com/extreme-weather/historic-california-floods-of-1861-62-featured-8-weeks-of-atmospheric-rivers
[1] https://www.nationalgeographic.com/science/article/140213-california-drought-record-agriculture-pdo-climate
[1] https://judithcurry.com/2017/03/17/will-the-oroville-dam-survive-the-arkstorm/
[1] https://twitter.com/daniellelangwa/status/1749996595532505204?s=46&t=SWC8AZBHOjubSRIVoekZmg

Top URLs in Tweet in G5:
[289] https://buff.ly/3W9xcFz
[288] https://amzn.to/3CU6ZEb
[181] https://www.amazon.com/dp/B0098LAD1S/ref=cm_sw_r_tw_dp_GVRZ93W6K9C30K6GG5BW
[10] https://www.amazon.com/dp/B0CM1M1MHS?ref_=cm_sw_r_mwn_dp_64RWQ3K85752SFZTD3JK&language=en_US
[4] https://amzn.to/3X7NPm5
[4] https://amzn.to/3DlMbVa
[3] https://amzn.to/3DQWeTD
[3] https://amzn.to/3fpm5J5
[3] https://buff.ly/3GPdquc
[3] https://amzn.to/3XgSstB

Top URLs in Tweet in G6:
[2] https://www.science.org/doi/10.1126/sciadv.abq0995
[2] https://pubs.usgs.gov/sir/2023/5011/sir20235011.pdf
[1] https://journals.ametsoc.org/view/journals/clim/35/5/JCLI-D-21-0168.1.xml
[1] https://en.wikipedia.org/wiki/ARkStorm
[1] https://sacramento.newsreview.com/2023/07/21/from-west-sacramento-to-the-pajaro-river-an-army-of-flood-fighters-is-confronting-threats-through-natural-intelligence/
[1] https://www.friendsoftheriver.org/river-advocate-newsletter-2023-01/
[1] https://pubs.usgs.gov/of/2010/1312/
[1] https://cepsym.org/Sympro2010/Dettinger-notes.pdf
[1] https://www.usgs.gov/publications/overview-arkstorm-scenario
[1] https://pubs.er.usgs.gov/publication/ofr20101312

Top URLs in Tweet in G7:
[1] https://www.youtube.com/watch?v=5l8L01ElPEg&list=PL7Tqi6ZG0uTMpYJdVRIN9vfF8T-PUhkKy&index=13

[1] https://ktla.com/weather/
[1] https://www.usgs.gov/media/images/summary-map-showing-arkstorm-predictions-california
[1] https://youtu.be/EWXbpuOWiPk
[1] https://en.m.wikipedia.org/wiki/ARkStorm
[1] https://collapsepod.buzzsprout.com/1403161/9472668-episode-59-arkstorm
[1] https://www.usgs.gov/news/featured-story/rivers-sky-6-facts-you-should-know-about-atmospheric-rivers

Top URLs in Tweet in G8:
[2] https://ascelibrary.org/doi/abs/10.1061/(ASCE)NH.1527-6996.0000142
[1] https://www.conservation.ca.gov/cgs/maps-data#:~:text=Map%20Sheet%2058,download%20(raster%20dataset)
[1] https://twitter.com/CAGeoSurvey/status/1559579609120681984
[1] https://weatherwest.com/archives/16626
[1] https://bit.ly/3bUB9ge
[1] https://en.m.wikipedia.org/wiki/ARkStorm
[1] https://www.nytimes.com/interactive/2022/08/12/climate/california-rain-storm.html?smtyp=cur&smid=tw-nytimes
[1] https://www.nytimes.com/2023/06/22/magazine/california-dams.html?smid=nytcore-ios-share&referringSource=articleShare
[1] https://lat.ms/2G9A1jt
[1] https://buff.ly/2PTBgI4

Top URLs in Tweet in G9:
[1] https://www.usgs.gov/programs/science-application-for-risk-reduction/science/arkstorm-scenario#overview
[1] https://www.youtube.com/watch?v=EWXbpuOWiPk

[1] https://www.lamag.com/citythinkblog/how-an-arkstorm-could-wreak-havoc-on-los-angeles/
[1] https://calmatters.org/newsletters/whatmatters/2023/01/bomb-cyclone-atmospheric-river-california/#CaliforniaFloods
[1] https://calmatters.org/newsletters/whatmatters/2023/01/bomb-cyclone-atmospheric-river-california/
[1] https://www.usgs.gov/publications/overview-arkstorm-scenario

Top Domains
Top Domains in Tweet in Entire Graph:
[319] amzn.to
[300] buff.ly
[205] amazon.com
[64] youtu.be
[26] usgs.gov
[23] wnd.com
[19] wikipedia.org
[15] newsbreak.com
[15] a.co
[9] weatherwest.com

Top Domains in Tweet in G2:
[14] newsbreak.com
[9] wikipedia.org
[9] usgs.gov
[5] southerncaliforniaweatherforce.com
[4] vice.com
[3] nytimes.com
[3] youtu.be
[3] ift.tt
[3] newsbreakapp.com
[3] apple.news

Top Domains in Tweet in G3:
[4] usgs.gov
[3] science.org
[3] nytimes.com
[2] vice.com
[2] co.jp
[2] kamen-joshi.com
[2] podbean.com
[2] weatherwest.com
[2] substack.com
[2] latimes.com

Top Domains in Tweet in G4:
[3] sbsun.com
[2] weatherwest.com
[2] lamag.com
[1] vimeo.com
[1] washingtonpost.com
[1] calmatters.org
[1] foxweather.com
[1] nationalgeographic.com
[1] judithcurry.com
[1] twitter.com

Top Domains in Tweet in G5:
[319] amzn.to
[298] buff.ly
[203] amazon.com
[58] youtu.be
[23] wnd.com
[15] a.co
[5] books2read.com
[5] x22report.com
[3] mybook.to
[3] shorturl.at

Top Domains in Tweet in G6:
[6] usgs.gov
[2] science.org
[1] ametsoc.org
[1] wikipedia.org
[1] newsreview.com
[1] friendsoftheriver.org
[1] cepsym.org
[1] wiley.com
[1] x.com
[1] riskfactor.com

Top Domains in Tweet in G7:
[2] usgs.gov
[1] youtube.com
[1] ktla.com
[1] youtu.be
[1] wikipedia.org
[1] buzzsprout.com

Top Domains in Tweet in G8:
[2] ascelibrary.org
[2] nytimes.com
[1] ca.gov
[1] twitter.com
[1] weatherwest.com
[1] bit.ly
[1] wikipedia.org
[1] lat.ms
[1] buff.ly

Top Domains in Tweet in G9:
[2] usgs.gov
[2] calmatters.org
[1] youtube.com
[1] lamag.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[491] preppers
[261] prepper
[188] survivalists
[165] book
[133] arkstorm
[39] cawx
[38] tjpw
[31] noah_ghc
[28] atmosphericriver
[19] amazon



Top Hashtags in Tweet in G1:
[6] arkstorm
[2] cawx
[2] jesuits
[2] warnsf
[1] sandiegowx
[1] climatelockdown
[1] reedley
[1] stevecarell
[1] gematria
[1] california

Top Hashtags in Tweet in G2:
[26] arkstorm
[6] cawater
[3] cawx
[2] hurricanehilary
[2] socal
[2] newsbreak
[2] atmosphericriver
[2] flood
[2] rain
[2] climatechange

Top Hashtags in Tweet in G3:
[38] tjpw
[31] noah_ghc
[19] カタクリコデンセツ
[14] arkstorm
[10] cawx
[9] cawater
[7] atmosphericriver
[4] アクトレスガールズ
[3] dragongate
[2] yahooニュース

Top Hashtags in Tweet in G4:
[16] arkstorm
[2] megastorm
[1] atmosphericriver
[1] losangeles
[1] lariver
[1] sanfernandovalley
[1] prepper
[1] survival
[1] prepare
[1] cawx

Top Hashtags in Tweet in G5:
[491] preppers
[260] prepper
[188] survivalists
[165] book
[19] amazon
[15] kindleunlimited
[14] booksworthreading
[8] survival
[7] fantasy
[6] prepperfiction

Top Hashtags in Tweet in G6:
[6] cawx
[2] justlookup
[1] atmosphericrivers
[1] sacvalley
[1] hurricanehilary
[1] burningman2023
[1] californiastorms
[1] climatecrisis
[1] climatecommitment
[1] wxtwitter

Top Hashtags in Tweet in G7:
[4] cawx
[3] atmosphericriver
[2] arkstorm
[1] socal
[1] larain
[1] flood
[1] weather
[1] stormy
[1] rain
[1] windy

Top Hashtags in Tweet in G8:
[12] arkstorm
[6] cawx
[6] climatechange
[3] atmosphericriver
[3] california
[3] orwx
[3] wawx
[3] bcwx
[1] florence

Top Hashtags in Tweet in G9:
[14] arkstorm
[7] atmosphericriver
[7] megaflood
[3] atmosphericrivers
[3] californiafloods
[2] osstahoe
[2] cawx
[2] usgs
[1] manupstairs
[1] californians

Top Words
Top Words in Tweet in Entire Graph:
[1593] arkstorm
[932] flood
[654] biblical
[647] proportions
[539] foster
[538] ron
[505] amazon
[503] surviving
[491] #preppers
[379] california

Top Words in Tweet in G1:
[181] arkstorm
[69] coming
[55] california
[44] warning
[43] ve
[42] warn
[39] watch
[32] january
[30] month
[28] people

Top Words in Tweet in G2:
[218] arkstorm
[92] このアカウントはプロレス写真専用アカウントです
[92] 一切見ませんので御用の方はこちらまで
[40] california
[30] flood
[26] #arkstorm
[23] 2023
[23] march
[22] warning
[21] snow

Top Words in Tweet in G3:
[202] 笑
[129] arkstorm
[38] #tjpw
[31] #noah_ghc
[31] weather_west
[22] scenario
[19] mdettinger
[19] more
[19] #カタクリコデンセツ
[19] california

Top Words in Tweet in G4:
[129] arkstorm
[100] daniellelangwa
[49] scenario
[47] more
[47] pattern
[46] repeat
[45] modeled
[45] learn
[44] frequen
[40] california

Top Words in Tweet in G5:
[824] flood
[656] arkstorm
[646] biblical
[646] proportions
[539] foster
[538] ron
[504] amazon
[503] surviving
[491] #preppers
[362] arkstormprepper

Top Words in Tweet in G6:
[105] arkstorm
[35] flood
[31] scenario
[29] weather_west
[14] flooding
[13] california
[13] year
[13] climate
[11] mdettinger
[10] extreme

Top Words in Tweet in G7:
[40] arkstorm
[10] storm
[8] event
[7] rain
[7] days
[6] much
[5] few
[5] potential
[5] seattlewxguy
[5] california

Top Words in Tweet in G8:
[17] arkstorm
[12] #arkstorm
[11] california
[11] mattlanza
[11] scenario
[10] forecasting
[10] one
[10] consider
[10] unfollowing
[10] reference

Top Words in Tweet in G9:
[17] arkstorm
[13] california
[13] #arkstorm
[10] robmayeda
[9] more
[9] flooding
[8] atmospheric
[8] river
[7] #atmosphericriver
[7] intense

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[647] biblical,proportions
[646] flood,biblical
[538] ron,foster
[503] arkstorm,surviving
[502] surviving,flood
[500] proportions,ron
[354] foster,arkstormprepper
[213] amazon,#preppers
[182] #preppers,#survivalists
[181] #preppers,#prepper

Top Word Pairs in Tweet in G1:
[38] ve,warning
[32] coming,arkstorm
[21] warning,january
[21] 11,2023
[19] arkstorm,ve
[18] san,francisco
[18] bay,area
[17] arkstorm,coming
[16] trying,warn
[15] warn,people

Top Word Pairs in Tweet in G2:
[92] このアカウントはプロレス写真専用アカウントです,一切見ませんので御用の方はこちらまで
[92] 一切見ませんので御用の方はこちらまで,arkstorm
[22] march,2023
[18] arkstorm,hit
[18] mid,march
[18] 2023,snow
[18] snow,flood
[18] flood,lowlands
[18] lowlands,data
[18] data,inside

Top Word Pairs in Tweet in G3:
[11] shakeout,arkstorm
[10] 笑,#tjpw
[9] haywired,drlucyjones
[9] arkstorm,haywired
[9] arkstorm,scenarios
[8] dalecox,shakeout
[8] #cawx,#cawater
[8] 笑,#noah_ghc
[8] arkstorm,scenario
[6] atmospheric,river

Top Word Pairs in Tweet in G4:
[47] arkstorm,scenario
[45] pattern,repeat
[45] learn,arkstorm
[45] scenario,modeled
[45] repeat,more
[45] modeled,pattern
[44] daniellelangwa,learn
[44] more,frequen
[25] dr,swain
[23] swain,expert

Top Word Pairs in Tweet in G5:
[646] flood,biblical
[646] biblical,proportions
[538] ron,foster
[503] arkstorm,surviving
[502] surviving,flood
[500] proportions,ron
[354] foster,arkstormprepper
[213] amazon,#preppers
[182] #preppers,#survivalists
[181] foster,amazon

Top Word Pairs in Tweet in G6:
[25] arkstorm,scenario
[7] pacific,jet
[5] arkstorm,scenarios
[5] central,valley
[5] climate,change
[4] klxchad,taojonesing
[4] 1862,flood
[4] flood,protection
[4] northern,california
[4] arkstorm,arkstorm

Top Word Pairs in Tweet in G7:
[3] west,coast
[3] few,days
[3] meant,arkstorm
[3] days,ago
[2] hudnutken,nwslosangeles
[2] arkstorm,event
[2] arkstorm,arstorm
[2] atmospheric,river
[2] stop,raining
[2] brookemartell,meant

Top Word Pairs in Tweet in G8:
[10] arkstorm,california
[10] consider,unfollowing
[10] one,forecasting
[10] unfollowing,reference
[10] forecasting,arkstorm
[10] california,consider
[9] mattlanza,one
[5] #arkstorm,scenario
[5] due,#climatechange
[5] rising,risk

Top Word Pairs in Tweet in G9:
[8] atmospheric,river
[7] whiplash,atmospheric
[7] more,intense
[7] see,more
[7] intense,drought
[7] flooding,episodes
[7] precipitation,whiplash
[7] episodes,precipitation
[7] california,see
[7] river,boosted

Top Replied-To
Top Replied-To in Entire Graph:
@weather_west
@arkstorm
@daniellelangwa
@nwssacramento
@nwsbayarea
@mdettinger
@flowinguphill
@realwxforecast
@dalecox

Top Replied-To in G1:
@nwssacramento
@weather_west
@nwsbayarea
@geravitywave
@robmayeda
@frosteddibs
@vanessaabc30
@paulhbeckwith
@faizahmalik

Top Replied-To in G2:
@realwxforecast

Top Replied-To in G3:
@weather_west
@arkstorm
@mdettinger
@dalecox
@cary_mock
@enjinzenkaidesu
@daniellelangwa
@flowinguphill
@drlucyjones
@firefamclothing

Top Replied-To in G4:
@daniellelangwa
@weather_west
@markcranfield_
@realwxforecast
@jayshaferwx
@wxbrad
@options4trading
@twisterkidmedia
@louannperry14
@lybrandspencer

Top Replied-To in G5:
@disneymom1126
@earthdesires
@lissa4trump

Top Replied-To in G6:
@weather_west
@flowinguphill
@lilhickory
@jaylund113
@daniellelangwa
@ca_dwr
@castormlover
@dancalmatters
@joedelbosque
@mdettinger

Top Replied-To in G7:
@realwxforecast
@seattlewxguy
@weather_west
@wxmann
@ryanmaue
@diegoodiegoooo
@jmpnk9s
@tahoeweather
@hillsidepoppy
@brookemartell

Top Replied-To in G8:
@mattlanza
@capitalweather

Top Replied-To in G9:
@daniellelangwa
@algore
@nettermike
@cartermurphy218
@realwxforecast
@phaneritic
@offgridteacher
@libertylynx
@tahoeweather

Top Replied-To in G10:
@mel_and_med

Top Mentioned
Top Mentioned in Entire Graph:
@arkstormprepper
@amazon
@daniellelangwa
@mcwilsonky
@youtube
@weather_west
@mdettinger
@abc30
@arkstorm
@mattlanza

Top Mentioned in G1:
@abc30
@nwsbayarea
@tahoeweather
@weather_west
@us_stormwatch
@cw3e_scripps
@jachristian
@geravitywave
@nwssacramento

Top Mentioned in G2:
@mavensnotebook

Top Mentioned in G3:
@weather_west
@mdettinger
@arkstorm
@drlucyjones
@shakeout
@haywired
@usgs
@flowinguphill
@dalecox
@jaylund113

Top Mentioned in G4:
@daniellelangwa
@weather_west
@susie_c
@usgs
@gavinnewsom
@lafdchief
@fema
@nithyavraman
@mayorofla
@palmquistcaleb

Top Mentioned in G5:
@arkstormprepper
@amazon
@mcwilsonky
@youtube
@devin_salesman
@bogymanunloved
@theunlovedbogy
@omnicentrist
@rosejam181920
@misfitnici

Top Mentioned in G6:
@weather_west
@mdettinger
@taojonesing
@daniellelangwa
@klxchad
@cartermurphy218
@lawomansharon
@stevebloom55

Top Mentioned in G7:
@nwslosangeles
@seattlewxguy
@youtube
@brookemartell
@jason61987
@nwsspc
@smalecol
@wxmann
@realwxforecast
@hudnutken

Top Mentioned in G8:
@mattlanza
@cageosurvey
@weather_west
@mayorofla
@nytclimate
@sydneyazari
@edgarrmcgregor
@noaa
@daniellelangwa

Top Mentioned in G9:
@robmayeda
@gavinnewsom
@weather_west
@gretathunberg
@realwxforecast
@mattlanza

Top Mentioned in G10:
@scotpatterson
@_max_sila
@max_shnr
@arkstorm
@shamukemo
@futuresresearch
@judeserpent
@kathleenlovewi5
@klimas1992
@hamdiha91215205

Top Tweeters
Top Tweeters in Entire Graph:
@welt_eu
@lizditz
@earthdesires
@theresamax
@roylmurry425
@lllwry
@mainchannel_
@morgfair
@seasonsgala
@pennilessscribe

Top Tweeters in G1:
@nbcbayarea
@philthese
@abc10
@starree
@abc30
@tristanshouts
@leekurtiss
@krishansonrcf
@copernicuseu
@paulhbeckwith

Top Tweeters in G2:
@welt_eu
@seasonsgala
@midwestweather3
@deutschland_brd
@angsuman
@lulabelldesign1
@lex18news
@regibonn
@vice
@truckster1

Top Tweeters in G3:
@nytimes
@ap
@sfchronicle
@newyorker
@oppojapan
@koaa
@chiitan7407
@stevebloom55
@taupeavenger
@shellidrummer4

Top Tweeters in G4:
@lizditz
@theresamax
@lllwry
@morgfair
@djmusgr
@scott_squires
@vivs1man
@onlydunke
@dire_donald
@carmosteph

Top Tweeters in G5:
@earthdesires
@roylmurry425
@mainchannel_
@pennilessscribe
@businessinsider
@deathwizard57
@products_hot
@nypost
@mailonline
@ostraca_eu

Top Tweeters in G6:
@kirkmurphy
@sfgate
@scottolling
@baddestmamajama
@feline_cannon
@phaneritic
@spaulsonktvu
@cc_stormwatch
@skiswm
@bluespacecanary

Top Tweeters in G7:
@ktla
@nwsspc
@wxmann
@youtube
@nwslosangeles
@diegoodiegoooo
@rcarlmark
@realwxforecast
@seattlewxguy
@hillsidepoppy

Top Tweeters in G8:
@notacquiescing
@bcwildfirehelp
@mattlanza
@capitalweather
@jswatz
@frenchcori
@boldsheidi
@gspeng
@aprimo224
@angiekozswims

Top Tweeters in G9:
@libertylynx
@meernaa89
@805weather
@christinatoms
@robmayeda
@lamag
@dances_fish
@weatherinthehud
@brunelshawn
@nettermike

Top Tweeters in G10:
@vibetancourth10
@gedeon51582955
@judeserpent
@scotpatterson
@_sslnt1
@shamukemo
@saien0916
@btxt_8
@greg_boose
@jay4fo


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