pew internet, Twitter, 1/14/2021 3:27:58 AM, 245552


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pew internet_2021-01-13_19-25-04.xlsx
pew internet_2021-01-13_19-25-04.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 14, 2021
Short Description:
pew internet via NodeXL https://bit.ly/2XDmLy2
@pewtrusts
@pewstates
@noniemg
@jm_bauer
@quellocenter
@nicoleperlroth
@iam_pb10
@hk_tuna
@mrgirlyoutube
@kitcolbert

Top hashtags:
#nationaltriviaday
#homeworkgap
#covid19
#twitch
#stream
#twitchstream
#twitchstreamer

Description:
Description
The graph represents a network of 131 Twitter users whose tweets in the requested range contained "pew internet", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 January 2021 at 03:25 UTC.

The requested start date was Thursday, 14 January 2021 at 01:01 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, 10-hour, 0-minute period from Thursday, 31 December 2020 at 11:00 UTC to Wednesday, 13 January 2021 at 21:00 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


Overall Graph Metrics
Vertices : 131
Unique Edges : 69
Edges With Duplicates : 117
Total Edges : 186
Number of Edge Types : 5
Retweet : 52
MentionsInRetweet : 52
Tweet : 38
Mentions : 28
Replies to : 16
Self-Loops : 40
Reciprocated Vertex Pair Ratio : 0.0229885057471264
Reciprocated Edge Ratio : 0.0449438202247191
Connected Components : 50
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 19
Maximum Edges in a Connected Component : 46
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.735758
Graph Density : 0.00522607163828538
Modularity : 0.524663
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 131 Twitter users whose tweets in the requested range contained "pew internet", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 January 2021 at 03:25 UTC.

The requested start date was Thursday, 14 January 2021 at 01:01 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, 10-hour, 0-minute period from Thursday, 31 December 2020 at 11:00 UTC to Wednesday, 13 January 2021 at 21:00 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 : pew internet
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:
[5] https://www.pewresearch.org/internet/2019/04/24/sizing-up-twitter-users/
[4] https://www.pewresearch.org/internet/2021/01/13/the-state-of-online-harassment/
[3] https://www.pewtrusts.org/en/research-and-analysis/articles/2020/12/08/what-covid-19-underscores-about-how-broadband-connectivity-affects-educational-attainment
[3] https://www.twitch.tv/littlepiggles
[2] https://www.pewresearch.org/internet/2020/08/19/most-americans-think-social-media-sites-censor-political-viewpoints/
[2] https://www.pewtrusts.org/en/research-and-analysis/articles/2020/11/30/how-much-broadband-speed-do-americans-need?utm_campaign=governing_brd_infrastructure__covid_____&utm_source=twitter_trusts&utm_medium=social&utm_content=article_necessity____linkcard_&utm_term=___
[1] https://www.sinsweety.co.uk/allescorts
[1] https://www.twitch.tv/kaedentheboi
[1] https://www.pewresearch.org/politics/2020/10/15/differences-in-how-democrats-and-republicans-behave-on-twitter/
[1] https://brainbubbles.de/collections/internet-spaceships

Top URLs in Tweet in G1:
[3] https://www.twitch.tv/littlepiggles
[1] https://www.netoneclick.com/
[1] https://seniornews.com/5-mobile-apps-for-seniors-to-make-life-easier/
[1] https://www.pewresearch.org/internet/2019/07/25/a-week-in-the-life-of-popular-youtube-channels/?campaign_id=9&emc=edit_nn_20201106&instance_id=23862&nl=the-morning®i_id=95077135&segment_id=43736&te=1&user_id=344f5158b047c1f1f474a46e41041a2c
[1] https://twitter.com/odebconuee/status/1345396176552677376
[1] https://twitter.com/jeffbrutlag/status/1346311015990902786
[1] https://www.sitesbysara.com/blog/why-online-reputation-rating-systems-matter/
[1] https://www.techrepublic.com/article/white-space-the-next-internet-disruption-10-things-to-know/
[1] https://www.pewglobal.org/2016/02/22/smartphone-ownership-and-internet-usage-continues-to-climb-in-emerging-economies/
[1] https://www.twitch.tv/kaedentheboi

Top URLs in Tweet in G3:
[3] https://www.pewtrusts.org/en/research-and-analysis/articles/2020/12/08/what-covid-19-underscores-about-how-broadband-connectivity-affects-educational-attainment
[1] https://www.techdirt.com/articles/20201214/07140645876/national-solution-to-digital-divide-starts-with-states.shtml?utm_campaign=governing_brd_usstatepolicy_______&utm_source=twitter_states&utm_medium=social&utm_content=3rdparty_statesuccess_linkcard_&utm_term=quote
[1] https://www.pewtrusts.org/en/research-and-analysis/articles/2020/12/08/what-covid-19-underscores-about-how-broadband-connectivity-affects-educational-attainment?utm_campaign=governing_brd_infrastructure_______&utm_source=twitter_states&utm_medium=social&utm_content=article_necessity____linkcard_&utm_term=problem
[1] https://twitter.com/dmccabe/status/1345863784879984641

Top URLs in Tweet in G4:
[2] https://www.pewtrusts.org/en/research-and-analysis/articles/2020/11/30/how-much-broadband-speed-do-americans-need?utm_campaign=governing_brd_infrastructure__covid_____&utm_source=twitter_trusts&utm_medium=social&utm_content=article_necessity____linkcard_&utm_term=___
[1] https://www.pewtrusts.org/en/research-and-analysis/articles/2020/12/08/what-covid-19-underscores-about-how-broadband-connectivity-affects-educational-attainment?utm_campaign=governing_brd_infrastructure_______&utm_source=twitter_trusts&utm_medium=social&utm_content=article_necessity____linkcard_&utm_term=problem
[1] https://www.pewtrusts.org/en/research-and-analysis/issue-briefs/2020/11/states-tap-federal-cares-act-to-expand-broadband?utm_campaign=governing_brd_usstatepolicy__covid_____&utm_source=twitter_trusts&utm_medium=social&utm_content=issuebrief_necessity____linkcard_&utm_term=___datapoint
[1] https://www.pewtrusts.org/en/research-and-analysis/articles/2020/12/08/what-covid-19-underscores-about-how-broadband-connectivity-affects-educational-attainment?utm_campaign=governing_brd_infrastructure_______&utm_source=twitter_trusts&utm_medium=social&utm_content=article_necessity____linkcard_&utm_term=___

Top URLs in Tweet in G5:
[1] https://www.pewresearch.org/internet/2021/01/13/the-state-of-online-harassment/

Top URLs in Tweet in G6:
[1] https://www.pewresearch.org/internet/2020/08/19/most-americans-think-social-media-sites-censor-political-viewpoints/

Top URLs in Tweet in G7:
[1] https://www.pewresearch.org/internet/2020/08/19/most-americans-think-social-media-sites-censor-political-viewpoints/

Top URLs in Tweet in G8:
[1] https://www.pewresearch.org/internet/2019/04/24/sizing-up-twitter-users/
[1] https://www.pewresearch.org/politics/2020/10/15/differences-in-how-democrats-and-republicans-behave-on-twitter/

Top URLs in Tweet in G10:
[1] https://www.pewresearch.org/internet/2019/04/24/sizing-up-twitter-users/

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[5] nationaltriviaday
[2] homeworkgap
[2] covid19
[2] twitch
[1] stream
[1] twitchstream
[1] twitchstreamer
[1] csgo
[1] eveonline
[1] tweetfleet



Top Hashtags in Tweet in G1:
[1] medicalmarketing
[1] 5stars
[1] ratingsystem
[1] ratingsystemsmatter
[1] google
[1] stream
[1] twitch
[1] twitchstream
[1] twitchstreamer
[1] csgo

Top Hashtags in Tweet in G3:
[2] covid19
[1] homeworkgap
[1] broadband

Top Hashtags in Tweet in G4:
[1] homeworkgap

Top Words
Top Words in Tweet in Entire Graph:
[103] internet
[87] pew
[47] access
[36] home
[35] students
[34] research
[26] online
[20] harassment
[18] center
[16] people

Top Words in Tweet in G1:
[32] pew
[27] internet
[12] research
[11] people
[7] marketing
[6] center
[6] dog
[5] study
[5] according
[5] poo

Top Words in Tweet in G2:
[13] tired
[13] clicking
[13] challenge
[13] finding
[13] don
[13] shake
[13] ass
[13] internet
[13] church
[13] pew

Top Words in Tweet in G3:
[22] access
[19] internet
[16] home
[15] students
[9] pewstates
[7] limited
[7] lower
[7] overall
[7] gpas
[7] fast

Top Words in Tweet in G4:
[19] internet
[19] access
[18] students
[16] home
[8] pewtrusts
[8] limited
[8] lower
[8] overall
[8] gpas
[8] fast

Top Words in Tweet in G5:
[17] online
[17] harassment
[9] report
[8] pew
[8] finds
[8] getting
[8] worse
[8] state
[8] stay
[8] tuned

Top Words in Tweet in G8:
[4] 而pew
[4] research嘅報告顯示twitter上民主黨支持者居多
[4] 而當中最活躍嘅用戶都係民主黨市民居多
[4] 代表有機會見到有關香港人嘅post嘅美國人好大機會係民主黨支持者
[4] 即係話你喺twitter
[3] hk_tuna
[3] connect到民主黨支持者嘅機會係遠超侵侵嘅支

Top Words in Tweet in G9:
[5] vc
[4] não
[4] internet
[3] oq
[3] disse
[3] album
[3] hotel
[3] pools
[2] eu
[2] entedno

Top Words in Tweet in G10:
[4] twitter
[2] very
[2] skewed
[2] audience
[2] remotely
[2] representative
[2] users
[2] compare
[2] general
[2] public

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[41] internet,access
[32] home,internet
[30] pew,research
[19] online,harassment
[18] research,center
[15] students,limited
[15] limited,home
[15] access,lower
[15] lower,overall
[15] overall,gpas

Top Word Pairs in Tweet in G1:
[10] pew,research
[6] pew,pew
[6] research,center
[5] dog,poo
[4] pew,pews
[3] study,pew
[3] according,pew
[3] uk,pc
[3] pc,pew
[3] pews,internet

Top Word Pairs in Tweet in G2:
[13] tired,clicking
[13] clicking,challenge
[13] challenge,finding
[13] finding,don
[13] don,shake
[13] shake,ass
[13] ass,internet
[13] internet,church
[13] church,pew
[13] pew,somewhere

Top Word Pairs in Tweet in G3:
[19] internet,access
[16] home,internet
[7] students,limited
[7] limited,home
[7] access,lower
[7] lower,overall
[7] overall,gpas
[7] gpas,students
[7] students,fast
[7] fast,home

Top Word Pairs in Tweet in G4:
[17] internet,access
[16] home,internet
[8] students,limited
[8] limited,home
[8] access,lower
[8] lower,overall
[8] overall,gpas
[8] gpas,students
[8] students,fast
[8] fast,home

Top Word Pairs in Tweet in G5:
[16] online,harassment
[8] pew,finds
[8] finds,online
[8] harassment,getting
[8] getting,worse
[8] worse,state
[8] state,online
[8] harassment,report
[8] report,stay
[8] stay,tuned

Top Word Pairs in Tweet in G8:
[4] 而pew,research嘅報告顯示twitter上民主黨支持者居多
[4] research嘅報告顯示twitter上民主黨支持者居多,而當中最活躍嘅用戶都係民主黨市民居多
[4] 而當中最活躍嘅用戶都係民主黨市民居多,代表有機會見到有關香港人嘅post嘅美國人好大機會係民主黨支持者
[4] 代表有機會見到有關香港人嘅post嘅美國人好大機會係民主黨支持者,即係話你喺twitter
[3] hk_tuna,而pew
[3] 即係話你喺twitter,connect到民主黨支持者嘅機會係遠超侵侵嘅支

Top Word Pairs in Tweet in G9:
[3] oq,vc
[3] vc,disse
[3] hotel,pools
[2] eu,não
[2] não,entedno
[2] entedno,pessoas
[2] pessoas,não
[2] não,entendem
[2] entendem,oq
[2] disse,só

Top Word Pairs in Tweet in G10:
[2] twitter,very
[2] very,skewed
[2] skewed,audience
[2] audience,remotely
[2] remotely,representative
[2] representative,twitter
[2] twitter,users
[2] users,compare
[2] compare,general
[2] general,public

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@noniemg
@pewstates
@pewtrusts
@nicoleperlroth
@jm_bauer
@quellocenter
@weareoneintech
@hk_tuna
@c_coolidge
@fcc

Top Mentioned in G1:
@c_coolidge

Top Mentioned in G2:
@noniemg

Top Mentioned in G3:
@pewstates
@jm_bauer
@quellocenter
@sleiseca

Top Mentioned in G4:
@pewtrusts
@quellocenter
@jm_bauer
@fcc

Top Mentioned in G5:
@nicoleperlroth
@wiczipedia

Top Mentioned in G6:
@imdatqueen409
@murray_nyc
@realdonaldtrump

Top Mentioned in G7:
@cloudpundit
@zdnet

Top Mentioned in G8:
@hk_tuna

Top Mentioned in G9:
@brunorataque
@rocknrosie_

Top Mentioned in G10:
@jayeskenazi
@thesamparr
@shaanvp

Top Tweeters
Top Tweeters in Entire Graph:
@cybersec_feeds
@femtech_
@habbradley
@c_coolidge
@cremechic11
@zdnet
@lencer_b
@yoshiefuruhashi
@pinky_or_brain
@wildwong

Top Tweeters in G1:
@c_coolidge
@odebconuee
@sinsweetyescort
@zowayix
@netoneclick
@k31ktv
@fizzysodavr
@realtakedump
@littlepig___
@yevad_

Top Tweeters in G2:
@habbradley
@cremechic11
@lencer_b
@sizzle314
@jojoswitz
@ty_charry
@emmanuelobute
@ton__ye
@kandake_nyeleti
@_khalobwa_

Top Tweeters in G3:
@realsaramerica
@pewstates
@mikewickline
@sleiseca
@nancybrune
@an_catherine
@quellocenter
@kburnslausch
@chatch1972
@jm_bauer

Top Tweeters in G4:
@pewtrusts
@zuribella
@ptrichsea
@fcc
@keavinduffyjr
@egross
@phlstartuplaw
@lcoitino
@tinatinamlyden

Top Tweeters in G5:
@temerc
@chrishernon
@yaelwrites
@kenyatta
@ameliasmps
@wiczipedia
@nicoleperlroth
@redtapechron

Top Tweeters in G6:
@realdonaldtrump
@murray_nyc
@iam_pb10
@imdatqueen409
@beanbo12

Top Tweeters in G7:
@zdnet
@bacon_is_king
@cloudpundit
@kitcolbert

Top Tweeters in G8:
@wildwong
@mandydubhkg
@cadeyrnn
@hk_tuna

Top Tweeters in G9:
@rocknrosie_
@brunorataque
@edwardy_pew
@akmaneth

Top Tweeters in G10:
@jayeskenazi
@thesamparr
@shaanvp
@tweetbrandon