lrainie, Twitter, 10/29/2020 2:45:05 AM, 239037


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lrainie_2020-10-28_19-42-12.xlsx
lrainie_2020-10-28_19-42-12.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 29, 2020
Short Description:
lrainie via NodeXL https://bit.ly/2GciDjw
@lrainie
@pewresearch
@kristenpurcell
@desertgardens
@mark_goldberg
@pewinternet
@facttank
@johngramlich
@gottfriedjeff
@pewscience

Top hashtags:
#debates2020
#socialmedia
#covid19
#climatechange
#crtc
#cdntech
#cdnpoli
#indu

Description:
Description
The graph represents a network of 42 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 29 October 2020 at 02:42 UTC.

The requested start date was Thursday, 29 October 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, 3-hour, 55-minute period from Thursday, 15 October 2020 at 19:35 UTC to Wednesday, 28 October 2020 at 23:31 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 : 42
Unique Edges : 32
Edges With Duplicates : 182
Total Edges : 214
Number of Edge Types : 4
Mentions : 33
Tweet : 47
Retweet : 62
MentionsInRetweet : 72
Self-Loops : 47
Reciprocated Vertex Pair Ratio : 0.06
Reciprocated Edge Ratio : 0.113207547169811
Connected Components : 5
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 38
Maximum Edges in a Connected Component : 210
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.053867
Graph Density : 0.0307781649245064
Modularity : 0.184328
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 42 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 29 October 2020 at 02:42 UTC.

The requested start date was Thursday, 29 October 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, 3-hour, 55-minute period from Thursday, 15 October 2020 at 19:35 UTC to Wednesday, 28 October 2020 at 23:31 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 : lrainie
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:
[12] https://www.pewresearch.org/fact-tank/2020/10/27/how-americans-see-u-s-tech-companies-as-government-scrutiny-increases/
[5] https://www.pewresearch.org/fact-tank/2020/10/15/64-of-americans-say-social-media-have-a-mostly-negative-effect-on-the-way-things-are-going-in-the-u-s-today/
[3] https://www.pewresearch.org/fact-tank/2020/10/15/23-of-users-in-us-say-social-media-led-them-to-change-views-on-issue-some-cite-black-lives-matter/
[2] https://www.journalism.org/2020/10/19/interest-in-election-news-increases-with-most-americans-feeling-worn-out-by-the-volume-of-coverage/
[2] http://mhgoldberg.com/blog/?p=14198
[2] https://www.pewresearch.org/fact-tank/2020/08/28/5-facts-about-presidential-and-vice-presidential-debates/?utm_content=buffer7cf6f&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[2] https://www.pewresearch.org/fact-tank/2020/08/05/key-things-to-know-about-election-polling-in-the-united-states/
[1] https://twitter.com/lrainie/status/1221891649913217024?s=20
[1] https://ipk.nyu.edu/events/looking-ahead-enhanced-democracy-by-2030-through-digital-innovation/
[1] https://twitter.com/lrainie/status/1321123962827509760

Top URLs in Tweet in G1:
[9] https://www.pewresearch.org/fact-tank/2020/10/27/how-americans-see-u-s-tech-companies-as-government-scrutiny-increases/
[3] https://www.pewresearch.org/fact-tank/2020/10/15/23-of-users-in-us-say-social-media-led-them-to-change-views-on-issue-some-cite-black-lives-matter/
[3] https://www.pewresearch.org/fact-tank/2020/10/15/64-of-americans-say-social-media-have-a-mostly-negative-effect-on-the-way-things-are-going-in-the-u-s-today/
[2] https://www.journalism.org/2020/10/19/interest-in-election-news-increases-with-most-americans-feeling-worn-out-by-the-volume-of-coverage/
[1] https://ipk.nyu.edu/events/looking-ahead-enhanced-democracy-by-2030-through-digital-innovation/
[1] https://www.pewresearch.org/fact-tank/2020/08/05/key-things-to-know-about-election-polling-in-the-united-states/
[1] https://www.pewresearch.org/fact-tank/2020/08/28/5-facts-about-presidential-and-vice-presidential-debates/?utm_content=buffer7cf6f&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://www.pewresearch.org/fact-tank/2020/10/26/americans-are-divided-on-whether-colleges-that-brought-students-back-to-campus-made-the-right-decision/
[1] https://buff.ly/2HoWWx0
[1] https://pewrsr.ch/2SIlxik

Top URLs in Tweet in G2:
[2] https://www.pewresearch.org/fact-tank/2020/10/27/how-americans-see-u-s-tech-companies-as-government-scrutiny-increases/
[2] https://www.pewresearch.org/fact-tank/2020/10/15/64-of-americans-say-social-media-have-a-mostly-negative-effect-on-the-way-things-are-going-in-the-u-s-today/
[1] https://twitter.com/lrainie/status/1221891649913217024?s=20
[1] https://pewrsr.ch/3ohTWmW
[1] https://pewrsr.ch/34R75dS
[1] https://pewrsr.ch/3jXiVt0
[1] https://pewrsr.ch/3jUEdaI
[1] https://pewrsr.ch/33Ug4vg
[1] https://pewrsr.ch/2FywXSX
[1] https://pewrsr.ch/3lZTnfw

Top URLs in Tweet in G3:
[2] http://mhgoldberg.com/blog/?p=14198
[1] https://www.pewresearch.org/fact-tank/2020/10/27/how-americans-see-u-s-tech-companies-as-government-scrutiny-increases/

Top URLs in Tweet in G4:
[1] https://twitter.com/lrainie/status/1316825124457381894
[1] https://twitter.com/lrainie/status/1316827946783563776
[1] https://twitter.com/lrainie/status/1316826531927334912
[1] https://twitter.com/lrainie/status/1321123962827509760

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[19] debates2020
[2] socialmedia
[2] covid19
[2] climatechange
[2] crtc
[2] cdntech
[2] cdnpoli
[2] indu
[2] brg2020
[2] sdgs



Top Hashtags in Tweet in G1:
[8] debates2020
[2] socialmedia
[2] climatechange
[2] covid19
[1] debatenight
[1] debate2020

Top Hashtags in Tweet in G2:
[11] debates2020

Top Hashtags in Tweet in G3:
[2] crtc
[2] cdntech
[2] cdnpoli
[2] indu
[2] brg2020
[2] sdgs
[2] cildc
[2] ifla

Top Hashtags in Tweet in G4:
[1] medialiteracy

Top Words
Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[49] social,media
[13] media,users
[13] users,changed
[11] facttank,roundup
[11] lrainie,23
[10] 23,social
[10] changed,political
[10] political,views
[10] views,social
[10] media,top

Top Word Pairs in Tweet in G1:
[37] social,media
[11] media,users
[11] users,changed
[9] 23,social
[9] changed,political
[9] political,views
[9] views,social
[9] media,top
[9] top,things
[9] lrainie,23

Top Word Pairs in Tweet in G2:
[10] social,media
[3] tech,companies
[3] more,democrats
[3] 64,americans
[3] americans,social
[3] media,mostly
[3] mostly,negative
[3] negative,effect
[3] effect,way
[3] way,things

Top Word Pairs in Tweet in G3:
[2] digital,divide
[2] divide,telecom
[2] telecom,trends
[2] taking,closer
[2] closer,look
[2] look,recent
[2] recent,the_iic
[2] the_iic,webinar
[2] webinar,lrainie
[2] lrainie,pewinternet

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@pewresearch
@lrainie
@facttank
@pewinternet
@carrolldoherty
@jocelynkiley
@brookeauxier
@pewglobal
@gottfriedjeff
@johngramlich

Top Mentioned in G1:
@pewresearch
@facttank
@lrainie
@carrolldoherty
@jocelynkiley
@briantkennedy
@pewscience
@johngramlich
@gottfriedjeff
@brookeauxier

Top Mentioned in G2:
@lrainie
@facttank
@pewresearch
@pewglobal
@b

Top Mentioned in G3:
@lrainie
@pewinternet
@the_iic
@facttank
@jdysart
@pewresearch
@neil_ruiz

Top Tweeters
Top Tweeters in Entire Graph:
@desertgardens
@ibboard
@pewresearch
@codinghorror
@rhappe
@julnilsmith
@dinapomeranz
@bot_amongus
@mark_goldberg
@facttank

Top Tweeters in G1:
@codinghorror
@rhappe
@dinapomeranz
@bot_amongus
@lendl97
@johngramlich
@angusproud
@lrainie
@carrolldoherty
@hardly_ted

Top Tweeters in G2:
@desertgardens
@pewresearch
@facttank
@pewglobal
@samaraklar
@evanswitt
@b

Top Tweeters in G3:
@mark_goldberg
@jimharris
@pewinternet
@the_iic
@neil_ruiz
@jdysart
@kristenpurcell

Top Tweeters in G4:
@ibboard
@julnilsmith
@raushenbush
@clemstrategy