#WeTalkBiz_2020-09-30_13-44-32.xlsx (experimental version)

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From:

NodeXLExcelAutomator

Uploaded on:

October 01, 2020

Short Description:

#WeTalkBiz via NodeXL https://bit.ly/34cpz8e

@mphete_kwetli

@_wetalk

@madalynsklar

@zenyinger

Top hashtags:

#wetalkbiz

#bizgalz

#bizheroes

#adweekchat

#mediachat

#sproutchat

#blogchat

#twittersmarter

Tweet
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@mphete_kwetli

@_wetalk

@madalynsklar

@zenyinger

Top hashtags:

#wetalkbiz

#bizgalz

#bizheroes

#adweekchat

#mediachat

#sproutchat

#blogchat

#twittersmarter

Tweet

Description:

The graph represents a network of 4 Twitter users whose tweets in the requested range contained "#WeTalkBiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 September 2020 at 20:44 UTC.

The requested start date was Wednesday, 30 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 0-minute period from Thursday, 24 September 2020 at 16:43 UTC to Thursday, 24 September 2020 at 16:43 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.

The requested start date was Wednesday, 30 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 0-minute period from Thursday, 24 September 2020 at 16:43 UTC to Thursday, 24 September 2020 at 16:43 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.

Vertices : 4

Unique Edges : 2

Edges With Duplicates : 4

Total Edges : 6

Number of Edge Types : 4

Retweet : 2

MentionsInRetweet : 2

Mentions : 1

Tweet : 1

Self-Loops : 1

Reciprocated Vertex Pair Ratio : 0.5

Reciprocated Edge Ratio : 0.666666666666667

Connected Components : 2

Single-Vertex Connected Components : 0

Maximum Vertices in a Connected Component : 2

Maximum Edges in a Connected Component : 3

Maximum Geodesic Distance (Diameter) : 1

Average Geodesic Distance : 0.5

Graph Density : 0.25

Modularity : 0.326389

NodeXL Version : 1.0.1.440

Data Import : The graph represents a network of 4 Twitter users whose tweets in the requested range contained "#WeTalkBiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 September 2020 at 20:44 UTC.

The requested start date was Wednesday, 30 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 0-minute period from Thursday, 24 September 2020 at 16:43 UTC to Thursday, 24 September 2020 at 16:43 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 : #WeTalkBiz

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

Unique Edges : 2

Edges With Duplicates : 4

Total Edges : 6

Number of Edge Types : 4

Retweet : 2

MentionsInRetweet : 2

Mentions : 1

Tweet : 1

Self-Loops : 1

Reciprocated Vertex Pair Ratio : 0.5

Reciprocated Edge Ratio : 0.666666666666667

Connected Components : 2

Single-Vertex Connected Components : 0

Maximum Vertices in a Connected Component : 2

Maximum Edges in a Connected Component : 3

Maximum Geodesic Distance (Diameter) : 1

Average Geodesic Distance : 0.5

Graph Density : 0.25

Modularity : 0.326389

NodeXL Version : 1.0.1.440

Data Import : The graph represents a network of 4 Twitter users whose tweets in the requested range contained "#WeTalkBiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 September 2020 at 20:44 UTC.

The requested start date was Wednesday, 30 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 0-minute period from Thursday, 24 September 2020 at 16:43 UTC to Thursday, 24 September 2020 at 16:43 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 : #WeTalkBiz

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 URLs in Tweet in Entire Graph:

[4] https://madalynsklar.com/chatlist

Top URLs in Tweet in G1:

[2] https://madalynsklar.com/chatlist

Top URLs in Tweet in G2:

[2] https://madalynsklar.com/chatlist

[4] https://madalynsklar.com/chatlist

Top URLs in Tweet in G1:

[2] https://madalynsklar.com/chatlist

Top URLs in Tweet in G2:

[2] https://madalynsklar.com/chatlist

Top Domains in Tweet in Entire Graph:

[1] madalynsklar.com

Top Domains in Tweet in G2:

[1] madalynsklar.com

[1] madalynsklar.com

Top Domains in Tweet in G2:

[1] madalynsklar.com

Top Hashtags in Tweet in Entire Graph:

[4] wetalkbiz

[2] bizgalz

[2] bizheroes

[2] adweekchat

[2] mediachat

[2] sproutchat

[2] blogchat

[1] twittersmarter

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Top Hashtags in Tweet in G1:

[2] wetalkbiz

Top Hashtags in Tweet in G2:

[2] bizgalz

[2] wetalkbiz

[2] bizheroes

[2] adweekchat

[2] mediachat

[2] sproutchat

[2] blogchat

[1] twittersmarter

[4] wetalkbiz

[2] bizgalz

[2] bizheroes

[2] adweekchat

[2] mediachat

[2] sproutchat

[2] blogchat

[1] twittersmarter

Tweet

Top Hashtags in Tweet in G1:

[2] wetalkbiz

Top Hashtags in Tweet in G2:

[2] bizgalz

[2] wetalkbiz

[2] bizheroes

[2] adweekchat

[2] mediachat

[2] sproutchat

[2] blogchat

[1] twittersmarter

Top Words in Tweet in Entire Graph:

[4] #wetalkbiz

[2] hello

[2] _wetalk

[2] missed

[2] much

[2] topics

[2] fave

[2] tweet

[2] chats

[2] #bizgalz

Top Words in Tweet in G1:

[2] hello

[2] _wetalk

[2] missed

[2] much

[2] topics

[2] #wetalkbiz

Top Words in Tweet in G2:

[2] fave

[2] tweet

[2] chats

[2] #bizgalz

[2] #wetalkbiz

[2] #bizheroes

[2] #adweekchat

[2] #mediachat

[2] #sproutchat

[2] #blogchat

[4] #wetalkbiz

[2] hello

[2] _wetalk

[2] missed

[2] much

[2] topics

[2] fave

[2] tweet

[2] chats

[2] #bizgalz

Top Words in Tweet in G1:

[2] hello

[2] _wetalk

[2] missed

[2] much

[2] topics

[2] #wetalkbiz

Top Words in Tweet in G2:

[2] fave

[2] tweet

[2] chats

[2] #bizgalz

[2] #wetalkbiz

[2] #bizheroes

[2] #adweekchat

[2] #mediachat

[2] #sproutchat

[2] #blogchat

Top Word Pairs in Tweet in Entire Graph:

[2] hello,_wetalk

[2] _wetalk,missed

[2] missed,much

[2] much,topics

[2] topics,#wetalkbiz

[2] fave,tweet

[2] tweet,chats

[2] chats,#bizgalz

[2] #bizgalz,#wetalkbiz

[2] #wetalkbiz,#bizheroes

Top Word Pairs in Tweet in G1:

[2] hello,_wetalk

[2] _wetalk,missed

[2] missed,much

[2] much,topics

[2] topics,#wetalkbiz

Top Word Pairs in Tweet in G2:

[2] fave,tweet

[2] tweet,chats

[2] chats,#bizgalz

[2] #bizgalz,#wetalkbiz

[2] #wetalkbiz,#bizheroes

[2] #bizheroes,#adweekchat

[2] #adweekchat,#mediachat

[2] #mediachat,#sproutchat

[2] #sproutchat,#blogchat

[2] hello,_wetalk

[2] _wetalk,missed

[2] missed,much

[2] much,topics

[2] topics,#wetalkbiz

[2] fave,tweet

[2] tweet,chats

[2] chats,#bizgalz

[2] #bizgalz,#wetalkbiz

[2] #wetalkbiz,#bizheroes

Top Word Pairs in Tweet in G1:

[2] hello,_wetalk

[2] _wetalk,missed

[2] missed,much

[2] much,topics

[2] topics,#wetalkbiz

Top Word Pairs in Tweet in G2:

[2] fave,tweet

[2] tweet,chats

[2] chats,#bizgalz

[2] #bizgalz,#wetalkbiz

[2] #wetalkbiz,#bizheroes

[2] #bizheroes,#adweekchat

[2] #adweekchat,#mediachat

[2] #mediachat,#sproutchat

[2] #sproutchat,#blogchat

Top Mentioned in Entire Graph:

Top Mentioned in G1:

Top Mentioned in G2:

@_wetalk | ||

@mphete_kwetli | ||

@madalynsklar | ||

Top Mentioned in G1:

@_wetalk | ||

@mphete_kwetli | ||

Top Mentioned in G2:

@madalynsklar | ||

Top Tweeters in Entire Graph:

Top Tweeters in G1:

Top Tweeters in G2:

@madalynsklar | ||

@zenyinger | ||

@mphete_kwetli | ||

@_wetalk | ||

Top Tweeters in G1:

@mphete_kwetli | ||

@_wetalk | ||

Top Tweeters in G2:

@madalynsklar | ||

@zenyinger | ||