pieapalooza, Twitter, 6/20/2020 3:21:56 PM, 229636


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pieapalooza Twitter NodeXL SNA Map and Report for Saturday, 20 June 2020 at 15:15 UTC
pieapalooza Twitter NodeXL SNA Map and Report for Saturday, 20 June 2020 at 15:15 UTC
From:
jeremyhl
Uploaded on:
June 20, 2020
Short Description:
pieapalooza via NodeXL https://bit.ly/2YjQgGs
@owhnews
@jeremyhl
@ianr
@robertoge
@cnarjes1
@ruralfutures
@ngcitycafe
@luannschindler
@gobiged
@plaidsir

Top hashtags:
#smmm2020
#smc2021

Description:
Description
The graph represents a network of 16 Twitter users whose recent tweets contained "pieapalooza", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 20 June 2020 at 15:15 UTC.

The tweets in the network were tweeted over the 1-hour, 53-minute period from Saturday, 20 June 2020 at 13:17 UTC to Saturday, 20 June 2020 at 15:10 UTC.

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 : 16
Unique Edges : 15
Edges With Duplicates : 0
Total Edges : 15
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 14
Maximum Edges in a Connected Component : 14
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.05
Graph Density : 0.0583333333333333
Modularity : 0.476667
NodeXL Version : 1.0.1.434
Data Import : The graph represents a network of 16 Twitter users whose recent tweets contained "pieapalooza", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 20 June 2020 at 15:15 UTC.

The tweets in the network were tweeted over the 1-hour, 53-minute period from Saturday, 20 June 2020 at 13:17 UTC to Saturday, 20 June 2020 at 15:10 UTC.

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 : TwitterSearch
Graph Term : pieapalooza
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 : Followers
Vertex Alpha : Followers

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[1] https://www.omaha.com/entertainment/omahadines/tweet-sparks-pieapalooza-giving-small-town-nebraska-cafe-a-big-boost-amid-coronavirus/article_fdf300ee-9cbb-5987-8031-97a6d0090757.html
[1] https://www.omaha.com/entertainment/omahadines/tweet-sparks-pieapalooza-giving-small-town-nebraska-cafe-a-big-boost-amid-coronavirus/article_fdf300ee-9cbb-5987-8031-97a6d0090757.html?utm_campaign=snd-autopilot&utm_medium=social&utm_source=facebook_Omaha_World-Herald
[1] https://www.omaha.com/entertainment/omahadines/tweet-sparks-pieapalooza-giving-small-town-nebraska-cafe-a-big-boost-amid-coronavirus/article_fdf300ee-9cbb-5987-8031-97a6d0090757.html?utm_medium=social&utm_source=twitter&utm_campaign=user-share
[1] https://www.omaha.com/entertainment/omahadines/tweet-sparks-pieapalooza-giving-small-town-nebraska-cafe-a-big-boost-amid-coronavirus/article_fdf300ee-9cbb-5987-8031-97a6d0090757.html?utm_campaign=snd-autopilot&utm_medium=social&utm_source=twitter_OWHnews

Top URLs in Tweet in G1:
[1] https://www.omaha.com/entertainment/omahadines/tweet-sparks-pieapalooza-giving-small-town-nebraska-cafe-a-big-boost-amid-coronavirus/article_fdf300ee-9cbb-5987-8031-97a6d0090757.html?utm_campaign=snd-autopilot&utm_medium=social&utm_source=twitter_OWHnews
[1] https://www.omaha.com/entertainment/omahadines/tweet-sparks-pieapalooza-giving-small-town-nebraska-cafe-a-big-boost-amid-coronavirus/article_fdf300ee-9cbb-5987-8031-97a6d0090757.html?utm_medium=social&utm_source=twitter&utm_campaign=user-share

Top URLs in Tweet in G2:
[1] https://www.omaha.com/entertainment/omahadines/tweet-sparks-pieapalooza-giving-small-town-nebraska-cafe-a-big-boost-amid-coronavirus/article_fdf300ee-9cbb-5987-8031-97a6d0090757.html?utm_campaign=snd-autopilot&utm_medium=social&utm_source=facebook_Omaha_World-Herald

Top URLs in Tweet in G3:
[1] https://www.omaha.com/entertainment/omahadines/tweet-sparks-pieapalooza-giving-small-town-nebraska-cafe-a-big-boost-amid-coronavirus/article_fdf300ee-9cbb-5987-8031-97a6d0090757.html

Top Domains
Top Domains in Tweet in Entire Graph:
[4] omaha.com

Top Domains in Tweet in G1:
[2] omaha.com

Top Domains in Tweet in G2:
[1] omaha.com

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1] smmm2020
[1] smc2021



Top Hashtags in Tweet in G2:
[1] smmm2020
[1] smc2021

Top Words
Top Word Pairs
Top Word Pairs in Tweet in G2:

Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@owhnews
@jeremyhl
@marknyt
@luannschindler
@gobiged
@eduff88
@huskertj49
@bob_speck
@robertoge
@ruralfutures

Top Tweeters in G1:
@owhnews
@marknyt
@gobiged
@eduff88
@huskertj49
@bob_speck
@plaidsir
@emmalouwho24

Top Tweeters in G2:
@jeremyhl
@robertoge
@ruralfutures
@cnarjes1
@unosmlre
@ianr

Top Tweeters in G3:
@luannschindler
@ngcitycafe


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