lrainie, Twitter, 3/11/2021 3:44:56 AM, 250489


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lrainie_2021-03-10_19-42-12.xlsx
lrainie_2021-03-10_19-42-12.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 11, 2021
Short Description:
lrainie via NodeXL https://bit.ly/3t9o9WK
@lrainie
@mrdinosossi
@mhugolopez
@pewinternet
@pewresearch
@pewmethods
@pewscience
@monicaranders
@mbarometer
@carrolldoherty

Top hashtags:
#articleoftheweek

Description:
Description
The graph represents a network of 34 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, 11 March 2021 at 03:42 UTC.

The requested start date was Thursday, 11 March 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 9-day, 6-hour, 47-minute period from Monday, 01 March 2021 at 14:00 UTC to Wednesday, 10 March 2021 at 20:48 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 : 34
Unique Edges : 36
Edges With Duplicates : 56
Total Edges : 92
Number of Edge Types : 5
Retweet : 23
MentionsInRetweet : 40
Mentions : 22
Replies to : 2
Tweet : 5
Self-Loops : 5
Reciprocated Vertex Pair Ratio : 0.0555555555555556
Reciprocated Edge Ratio : 0.105263157894737
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 34
Maximum Edges in a Connected Component : 92
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.044983
Graph Density : 0.0508021390374332
Modularity : 0.260072
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 34 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, 11 March 2021 at 03:42 UTC.

The requested start date was Thursday, 11 March 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 9-day, 6-hour, 47-minute period from Monday, 01 March 2021 at 14:00 UTC to Wednesday, 10 March 2021 at 20:48 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:
[2] https://www.pewresearch.org/politics/2021/03/09/broad-public-support-for-coronavirus-aid-package-just-a-third-say-it-spends-too-much/
[2] https://www.pewresearch.org/internet/2021/02/18/experts-say-the-new-normal-in-2025-will-be-far-more-tech-driven-presenting-more-big-challenges/?utm_content=bufferd0c7c&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[2] https://www.pewresearch.org/methods/2021/03/02/what-2020s-election-poll-errors-tell-us-about-the-accuracy-of-issue-polling/
[1] https://pewrsr.ch/3c2Lt1v
[1] https://jobs-prc.icims.com/jobs/search?ss=1
[1] https://twitter.com/pewresearch/status/1369368512918093832
[1] https://www.pewresearch.org/science/2021/03/05/growing-share-of-americans-say-they-plan-to-get-a-covid-19-vaccine--or-already-have/
[1] https://buff.ly/3uMQt2X
[1] https://www.monthlybarometer.com/r/weekly-selection-26-february-2021/18698?utm_content=buffer645b2&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://jobs-prc.icims.com/jobs/6447/editorial-assistant/job

Top URLs in Tweet in G1:
[2] https://www.pewresearch.org/internet/2021/02/18/experts-say-the-new-normal-in-2025-will-be-far-more-tech-driven-presenting-more-big-challenges/?utm_content=bufferd0c7c&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://www.pewresearch.org/methods/2021/03/02/what-2020s-election-poll-errors-tell-us-about-the-accuracy-of-issue-polling/
[1] https://www.pewresearch.org/fact-tank/2020/09/24/54-of-americans-say-social-media-companies-shouldnt-allow-any-political-ads/
[1] https://www.pewresearch.org/internet/2021/02/18/experts-say-the-new-normal-in-2025-will-be-far-more-tech-driven-presenting-more-big-challenges/
[1] https://www.pewresearch.org/politics/2021/03/09/broad-public-support-for-coronavirus-aid-package-just-a-third-say-it-spends-too-much/
[1] https://www.monthlybarometer.com/r/weekly-selection-26-february-2021/18698?utm_content=buffer645b2&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://jobs-prc.icims.com/jobs/6447/editorial-assistant/job
[1] https://link.medium.com/XDniTSr8geb
[1] https://pewrsr.ch/3uqkx4e
[1] https://pewrsr.ch/2HwnDNX

Top URLs in Tweet in G3:
[1] https://pewrsr.ch/3c2Lt1v
[1] https://pewrsr.ch/2MmRRYP
[1] https://jobs-prc.icims.com/jobs/search?ss=1
[1] https://www.pewresearch.org/politics/2021/03/09/broad-public-support-for-coronavirus-aid-package-just-a-third-say-it-spends-too-much/

Top URLs in Tweet in G4:
[1] https://buff.ly/3uMQt2X
[1] https://www.pewresearch.org/methods/2021/03/02/what-2020s-election-poll-errors-tell-us-about-the-accuracy-of-issue-polling/

Top URLs in Tweet in G5:
[1] https://twitter.com/pewresearch/status/1369368512918093832
[1] https://www.pewresearch.org/science/2021/03/05/growing-share-of-americans-say-they-plan-to-get-a-covid-19-vaccine--or-already-have/

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1] articleoftheweek



Top Hashtags in Tweet in G1:
[1] articleoftheweek

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@lrainie
@pewinternet
@pewresearch
@pewscience
@pewmethods
@facttank
@emily_vogels
@pvankessel
@mhugolopez
@pe

Top Mentioned in G1:
@pewresearch
@facttank
@lrainie
@pewmethods
@pewinternet
@emily_vogels
@pewscience
@pvankessel
@imagineinternet
@carrolldoherty

Top Mentioned in G2:
@lrainie
@pewinternet

Top Mentioned in G3:
@pewresearch
@pewinternet
@lrainie
@pewhispanic

Top Mentioned in G4:
@pewmethods
@pollcat
@nhatley
@arnoldlcl
@lrainie

Top Mentioned in G5:
@pewscience
@lrainie
@pewinternet

Top Tweeters
Top Tweeters in Entire Graph:
@tadrow
@estarianne
@kat_pep_
@pewresearch
@facttank
@pewinternet
@johngramlich
@mrdinosossi
@conradhackett
@cascio

Top Tweeters in G1:
@facttank
@johngramlich
@cascio
@lrainie
@carrolldoherty
@jasonyungliu
@imagineinternet
@surveyfunk
@emily_vogels
@pe

Top Tweeters in G2:
@tadrow
@estarianne
@kat_pep_
@pewinternet
@calimel5
@cathaykeough
@colleenamcclain
@ctsekeris

Top Tweeters in G3:
@pewresearch
@conradhackett
@mhugolopez
@pewhispanic
@pvankessel
@nathriacow

Top Tweeters in G4:
@mrdinosossi
@ruthigielnik
@pewmethods
@nhatley
@arnoldlcl
@pollcat

Top Tweeters in G5:
@monicaranders
@pewscience
@briantkennedy