#FutureMidwifery, Twitter, 12/2/2020 7:16:02 PM, 242564


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#FutureMidwifery_2020-12-02_06-11-52.xlsx
#FutureMidwifery_2020-12-02_06-11-52.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 02, 2020
Short Description:
#FutureMidwifery via NodeXL https://bit.ly/2Jn0HV0
@sjpedler
@sheena_byrom
@midwife_claire
@bevmatthewsrn
@zoenelson8
@benashnaz
@sarahcoiffait
@wildman_melanie
@teamcmido
@midwifingabbie

Top hashtags:
#futuremidwifery
#perceptionsofmidwifery

Description:
Description
The graph represents a network of 10 Twitter users whose tweets in the requested range contained "#FutureMidwifery", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 December 2020 at 14:11 UTC.

The requested start date was Wednesday, 02 December 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 1-day, 0-hour, 22-minute period from Monday, 28 September 2020 at 07:43 UTC to Tuesday, 29 September 2020 at 08:06 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 : 10
Unique Edges : 14
Edges With Duplicates : 10
Total Edges : 24
Number of Edge Types : 5
Retweet : 5
MentionsInRetweet : 11
Mentions : 6
Replies to : 1
Tweet : 1
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0.133333333333333
Reciprocated Edge Ratio : 0.235294117647059
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 10
Maximum Edges in a Connected Component : 24
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.5
Graph Density : 0.188888888888889
Modularity : 0.107205
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 10 Twitter users whose tweets in the requested range contained "#FutureMidwifery", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 December 2020 at 14:11 UTC.

The requested start date was Wednesday, 02 December 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 1-day, 0-hour, 22-minute period from Monday, 28 September 2020 at 07:43 UTC to Tuesday, 29 September 2020 at 08:06 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 : GraphServerTwitterSearch
Graph Term : #FutureMidwifery
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 Domains
Top Domains in Tweet in Entire Graph:
[1] twitter.com

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[6] futuremidwifery
[6] perceptionsofmidwifery



Top Hashtags in Tweet in G1:
[2] futuremidwifery
[2] perceptionsofmidwifery

Top Hashtags in Tweet in G2:
[4] futuremidwifery
[4] perceptionsofmidwifery

Top Words
Top Word Pairs
Top Replied-To
Top Replied-To in Entire Graph:
@sheena_byrom

Top Replied-To in G2:
@sheena_byrom

Top Mentioned
Top Tweeters

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