lrainie, Twitter, 9/17/2020 2:53:38 AM, 235294


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lrainie_2020-09-16_19-45-20.xlsx
lrainie_2020-09-16_19-45-20.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 17, 2020
Short Description:
lrainie via NodeXL https://bit.ly/3c8yZF7
@lrainie
@alec_h_tyson
@utexasmoody
@dominikbatorski
@joannaazevedo
@emot
@pewresearch
@ruthigielnik
@aapor
@emilythorson

Top hashtags:
#socialmedia
#election2020

Description:
Description
The graph represents a network of 39 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, 17 September 2020 at 02:45 UTC.

The requested start date was Thursday, 17 September 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 7-day, 2-hour, 5-minute period from Wednesday, 09 September 2020 at 18:16 UTC to Wednesday, 16 September 2020 at 20:22 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 : 39
Unique Edges : 27
Edges With Duplicates : 83
Total Edges : 110
Number of Edge Types : 5
Retweet : 33
MentionsInRetweet : 36
Mentions : 25
Replies to : 5
Tweet : 11
Self-Loops : 11
Reciprocated Vertex Pair Ratio : 0.0851063829787234
Reciprocated Edge Ratio : 0.156862745098039
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 38
Maximum Edges in a Connected Component : 109
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.069204
Graph Density : 0.034412955465587
Modularity : 0.265103
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 39 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, 17 September 2020 at 02:45 UTC.

The requested start date was Thursday, 17 September 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 7-day, 2-hour, 5-minute period from Wednesday, 09 September 2020 at 18:16 UTC to Wednesday, 16 September 2020 at 20:22 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:
[3] https://www.pewresearch.org/fact-tank/2020/09/11/love-reaction-steadily-overcomes-anger-as-response-to-lawmakers-posts-on-facebook/
[3] https://www.pewresearch.org/fact-tank/2020/09/09/americans-think-social-media-can-help-build-movements-but-can-also-be-a-distraction/
[2] https://www.pewresearch.org/politics/2020/09/10/voters-attitudes-about-race-and-gender-are-even-more-divided-than-in-2016/?utm_source=Pew+Research+Center&utm_campaign=90bd46a9b5-Weekly_2020_09_12&utm_medium=email&utm_term=0_3e953b9b70-90bd46a9b5-399506733
[1] https://pheedloop.com/cilil2020/site/sessions/?id=SES2RS3LJZFHZSEC0
[1] https://hbr.org/2017/03/whats-the-value-of-a-like
[1] https://twitter.com/GUcstpubliclife/status/1304473782090956801
[1] https://www.youtube.com/watch?v=KfKRIAyX4xs&feature=youtu.be

[1] https://buff.ly/33e3UMe
[1] https://www.journalism.org/2020/08/31/americans-see-skepticism-of-news-media-as-healthy-say-public-trust-in-the-institution-can-improve/
[1] https://www.pewresearch.org/politics/2020/09/02/in-views-of-u-s-democracy-widening-partisan-divides-over-freedom-to-peacefully-protest/

Top URLs in Tweet in G1:
[2] https://www.pewresearch.org/politics/2020/09/10/voters-attitudes-about-race-and-gender-are-even-more-divided-than-in-2016/?utm_source=Pew+Research+Center&utm_campaign=90bd46a9b5-Weekly_2020_09_12&utm_medium=email&utm_term=0_3e953b9b70-90bd46a9b5-399506733
[2] https://www.pewresearch.org/fact-tank/2020/09/09/americans-think-social-media-can-help-build-movements-but-can-also-be-a-distraction/
[1] https://www.pewresearch.org/fact-tank/2020/09/11/love-reaction-steadily-overcomes-anger-as-response-to-lawmakers-posts-on-facebook/
[1] https://pheedloop.com/cilil2020/site/sessions/?id=SES2RS3LJZFHZSEC0
[1] https://twitter.com/GUcstpubliclife/status/1304473782090956801
[1] https://buff.ly/33e3UMe
[1] https://www.pewresearch.org/politics/2020/09/02/in-views-of-u-s-democracy-widening-partisan-divides-over-freedom-to-peacefully-protest/
[1] https://pewrsr.ch/33ZUC8G
[1] https://pewrsr.ch/34olAr1

Top URLs in Tweet in G2:
[1] https://pewrsr.ch/2ZqYI6F
[1] https://pewrsr.ch/3ioRkjW
[1] https://www.journalism.org/2020/08/31/americans-see-skepticism-of-news-media-as-healthy-say-public-trust-in-the-institution-can-improve/
[1] https://www.pewresearch.org/fact-tank/2020/09/09/americans-think-social-media-can-help-build-movements-but-can-also-be-a-distraction/

Top URLs in Tweet in G3:
[1] https://www.youtube.com/watch?v=KfKRIAyX4xs&feature=youtu.be


Top URLs in Tweet in G4:
[1] https://www.dinheirovivo.pt/tecnologia/redes-sociais-sao-a-natureza-humana-com-esteroides-diz-investigador/
[1] https://www.dinheirovivo.pt/tecnologia/como-se-evita-a-era-da-discordia-inflamada-no-facebook/

Top URLs in Tweet in G5:
[1] https://hbr.org/2017/03/whats-the-value-of-a-like
[1] https://www.pewresearch.org/fact-tank/2020/09/11/love-reaction-steadily-overcomes-anger-as-response-to-lawmakers-posts-on-facebook/

Top URLs in Tweet in G6:
[1] https://www.pewresearch.org/fact-tank/2020/09/11/love-reaction-steadily-overcomes-anger-as-response-to-lawmakers-posts-on-facebook/

Top URLs in Tweet in G7:
[1] https://twitter.com/lrainie/status/1303759282383581185

Top Domains
Top Domains in Tweet in Entire Graph:
[9] pewresearch.org
[4] pewrsr.ch
[2] twitter.com
[2] dinheirovivo.pt
[1] pheedloop.com
[1] hbr.org
[1] youtube.com
[1] buff.ly
[1] journalism.org

Top Domains in Tweet in G1:
[6] pewresearch.org
[2] pewrsr.ch
[1] pheedloop.com
[1] twitter.com
[1] buff.ly

Top Domains in Tweet in G2:
[2] pewrsr.ch
[1] journalism.org
[1] pewresearch.org

Top Domains in Tweet in G3:
[1] youtube.com

Top Domains in Tweet in G4:
[2] dinheirovivo.pt

Top Domains in Tweet in G5:
[1] hbr.org
[1] pewresearch.org

Top Domains in Tweet in G6:
[1] pewresearch.org

Top Domains in Tweet in G7:
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[20] socialmedia
[1] election2020



Top Hashtags in Tweet in G1:
[16] socialmedia
[1] election2020

Top Hashtags in Tweet in G2:
[2] socialmedia

Top Hashtags in Tweet in G5:
[2] socialmedia

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@lrainie
@pewresearch
@facttank
@joanarssousa
@brookeauxier
@alec_h_tyson
@aapor
@carrolldoherty
@utexasmoody
@colleenamcclain

Top Mentioned in G1:
@lrainie
@pewresearch
@facttank
@alec_h_tyson
@brookeauxier
@carrolldoherty
@hshartig
@gottfriedjeff
@ruthigielnik
@aapor

Top Mentioned in G2:
@lrainie
@pewresearch
@utexasmoody

Top Mentioned in G3:
@pewresearch
@aapor
@c_deane

Top Mentioned in G4:
@joanarssousa
@lrainie

Top Mentioned in G5:
@lrainie

Top Mentioned in G6:
@nuzzel
@lrainie

Top Tweeters
Top Tweeters in Entire Graph:
@joanarssousa
@blainehashimoto
@disappearednews
@pewresearch
@parker_talks
@jessicsm
@facttank
@collegefilm
@joannaazevedo
@hponka

Top Tweeters in G1:
@blainehashimoto
@disappearednews
@parker_talks
@hponka
@pewinternet
@vandernomics50
@leonele
@lrainie
@libconf
@reganopel

Top Tweeters in G2:
@pewresearch
@collegefilm
@k_channel
@utexasmoody
@brookeauxier
@gottfriedjeff

Top Tweeters in G3:
@aapor
@alec_h_tyson
@c_deane

Top Tweeters in G4:
@joanarssousa
@joannaazevedo
@emot

Top Tweeters in G5:
@facttank
@surowiec

Top Tweeters in G6:
@dominikbatorski
@nuzzel

Top Tweeters in G7:
@jessicsm