pew internet, Twitter, 8/13/2020 9:42:30 AM, 232574


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pew internet_2020-08-12_19-33-45.xlsx
pew internet_2020-08-12_19-33-45.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 13, 2020
Short Description:
pew internet via NodeXL https://bit.ly/2DEznPd
@malwaretechblog
@realityamuck
@vorsenh
@jomoestar
@felipedarezzo
@arielsanchezmor
@anontharoor
@davidgrealtor1
@livingstone_s
@ncarper

Top hashtags:
#screentime
#covid19
#quakeconathome
#pew
#facebook
#19for20
#aws

Description:
Description
The graph represents a network of 397 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, 13 August 2020 at 02:33 UTC.

The requested start date was Thursday, 13 August 2020 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, 13-hour, 27-minute period from Thursday, 30 July 2020 at 02:00 UTC to Wednesday, 12 August 2020 at 15:28 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 : 397
Unique Edges : 103
Edges With Duplicates : 548
Total Edges : 651
Number of Edge Types : 5
Retweet : 273
MentionsInRetweet : 274
Tweet : 51
Replies to : 18
Mentions : 35
Self-Loops : 51
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 71
Single-Vertex Connected Components : 38
Maximum Vertices in a Connected Component : 259
Maximum Edges in a Connected Component : 517
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.97858
Graph Density : 0.00207999389359591
Modularity : 0.381598
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 397 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, 13 August 2020 at 02:33 UTC.

The requested start date was Thursday, 13 August 2020 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, 13-hour, 27-minute period from Thursday, 30 July 2020 at 02:00 UTC to Wednesday, 12 August 2020 at 15:28 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:
[9] https://www.pewresearch.org/internet/2020/07/28/parenting-children-in-the-age-of-screens/
[2] https://www.news10.com/news/pew-research-center-internet-trends-during-coronavirus-pandemic/
[2] https://www.pewresearch.org/internet/2019/04/24/sizing-up-twitter-users/
[2] http://trends.e-strategyblog.com/2018/10/26/internet-social-smartphone-adoption-37-countries/30035?utm_source=dynamic&utm_medium=Social%20Media&utm_campaign=e-Strategy%20Trends&utm_content=Internet%2C%20Social%20%26%20Smartphone%20Adoption%20In%2037%20Countries%20%5BTABLE%5D
[2] https://www.pewresearch.org/internet/2018/04/09/bots-in-the-twittersphere/
[1] https://www.pewtrusts.org/en/research-and-analysis/data-visualizations/2019/state-broadband-policy-explorer
[1] https://twitter.com/phila610215/status/1292939538399145984
[1] https://www.pewresearch.org/internet/2016/09/09/library-usage-and-engagement/
[1] https://www.twitch.tv/pilothuntertv
[1] https://twitch.tv/besoyt

Top URLs in Tweet in G2:
[6] https://www.pewresearch.org/internet/2020/07/28/parenting-children-in-the-age-of-screens/
[2] http://trends.e-strategyblog.com/2018/10/26/internet-social-smartphone-adoption-37-countries/30035?utm_source=dynamic&utm_medium=Social%20Media&utm_campaign=e-Strategy%20Trends&utm_content=Internet%2C%20Social%20%26%20Smartphone%20Adoption%20In%2037%20Countries%20%5BTABLE%5D
[2] https://www.news10.com/news/pew-research-center-internet-trends-during-coronavirus-pandemic/
[1] https://www.usatoday.com/story/tech/2014/07/03/net-threats-pew-internet-freedom-2025/12125363/
[1] https://www.pewresearch.org/internet/2020/07/28/parenting-children-in-the-age-of-screens/?ref=briefingday.com&curator=briefingday.com&utm_source=briefingday.com&utm_medium=email
[1] https://twitter.com/MalwareTechBlog/status/1288655647685218304
[1] https://www.pewresearch.org/internet/2020/06/30/experts-predict-more-digital-innovation-by-2030-aimed-at-enhancing-democracy/
[1] https://www.pewresearch.org/internet/2016/08/15/the-hashtag-blacklivesmatter-emerges-social-activism-on-twitter/
[1] https://ibdi.it/fare-soldi-online-le-5-opprtunita-principali-di-vendita-online-per-qualsiasi-imprenditore/
[1] https://aws.amazon.com/de/blogs/aws/now-open-fourth-availability-zone-in-the-aws-asia-pacific-seoul-region/?advocacy_source=everyonesocial&trk=global_employee_advocacy&sc_channel=sm&es_id=aab208445f

Top URLs in Tweet in G4:
[1] https://www.pewresearch.org/internet/2017/07/11/online-harassment-2017/
[1] https://twitter.com/vorsenh/status/1156520507715530754?s=21
[1] https://twitter.com/vorsenh/status/1156520507715530754

Top URLs in Tweet in G7:
[1] https://www.pewresearch.org/internet/2016/09/09/library-usage-and-engagement/

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[4] screentime
[1] covid19
[1] quakeconathome
[1] pew
[1] facebook
[1] 19for20
[1] aws
[1] guadagnoonline
[1] blacklivesmatter
[1] hitchenswatch



Top Hashtags in Tweet in G2:
[1] fromthearchives
[1] hitchenswatch
[1] blacklivesmatter
[1] guadagnoonline
[1] aws
[1] 19for20
[1] facebook
[1] covid19

Top Words
Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[259] isp,went
[259] went,down
[259] down,users
[259] users,reporting
[259] reporting,basically
[259] basically,website
[259] website,internet
[259] internet,offline
[258] malwaretechblog,isp
[258] offline,shouldn

Top Word Pairs in Tweet in G1:
[259] isp,went
[259] went,down
[259] down,users
[259] users,reporting
[259] reporting,basically
[259] basically,website
[259] website,internet
[259] internet,offline
[258] malwaretechblog,isp
[258] offline,shouldn

Top Word Pairs in Tweet in G2:
[20] pew,research
[15] research,center
[10] pew,pew
[5] social,media
[3] age,screens
[3] family,friends
[2] parenting,children
[2] children,age
[2] week,pew
[2] twitter,pew

Top Word Pairs in Tweet in G6:
[2] corre,corre
[2] pew,pew

Top Word Pairs in Tweet in G8:
[2] nunca,fale
[2] fale,mal
[2] mal,aparência
[2] aparência,ninguém
[2] ninguém,internet
[2] internet,autoestima
[2] autoestima,uma
[2] uma,coisa
[2] coisa,bem
[2] bem,complicada

Top Word Pairs in Tweet in G10:
[2] pew,pew

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@malwaretechblog
@davidgrealtor1
@livingstone_s
@hethatonenigga
@melsan02
@adamsinger
@vincesua
@tampahillslib
@zelune
@quake

Top Mentioned in G1:
@malwaretechblog

Top Mentioned in G3:
@jennie_z
@thehulkster
@iottoknow
@sclev
@mouthybroadcast
@krisroley
@ja3

Top Mentioned in G4:
@slettholm
@morgenbladet
@journalisten
@redaktorene

Top Mentioned in G5:
@lexisizestuff
@nark_y
@angelathe_horny

Top Mentioned in G6:
@thenebulosa
@vitori_no
@potyguarabardo

Top Mentioned in G7:
@vincesua
@tampahillslib

Top Mentioned in G8:
@zelune
@harujiggly

Top Mentioned in G9:
@oliverblank_bln
@staubigesetwas

Top Mentioned in G10:
@k00laidit
@frankytheviguy
@jhoughes

Top Tweeters
Top Tweeters in Entire Graph:
@soyourelikethat
@nite0wl
@ffrreemarkets
@jaketapper
@justafandavid
@adamsinger
@wten
@weems
@yeahcri
@lady_fabi

Top Tweeters in G1:
@nite0wl
@ffrreemarkets
@justafandavid
@weems
@lady_fabi
@myrainbowninja
@benaryorg
@semmoneglynn
@ishikusui
@sighclaat

Top Tweeters in G2:
@wten
@godless_mom
@frikitty_bot
@chaundolan
@ibdiit
@thedailynumbers
@fox23news
@stopcancernow
@kmckonline
@chabeannie

Top Tweeters in G3:
@thehulkster
@jennie_z
@krisroley
@forpeterssake_
@ja3
@realityamuck
@iottoknow
@sclev
@mouthybroadcast

Top Tweeters in G4:
@journalisten
@morgenbladet
@tellefraabe
@redaktorene
@vorsenh
@slettholm

Top Tweeters in G5:
@taysty_taylor
@lexisizestuff
@nark_y
@angelathe_horny
@jomoestar

Top Tweeters in G6:
@potyguarabardo
@vitori_no
@myaahrizzz
@thenebulosa
@felipedarezzo

Top Tweeters in G7:
@ncarper
@tampahillslib
@carlomcabrera1
@vincesua

Top Tweeters in G8:
@zelune
@harujiggly
@edwardy_pew
@diditobarros

Top Tweeters in G9:
@norberthense
@stop_degeneracy
@oliverblank_bln
@staubigesetwas

Top Tweeters in G10:
@arielsanchezmor
@k00laidit
@jhoughes
@frankytheviguy


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