Tweet
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unmciae_2020-05-20_18-24-25.xlsx

From:

NodeXLExcelAutomator

Uploaded on:

May 22, 2020

Short Description:

unmciae via NodeXL https://bit.ly/2A01KVE

@thartman2u

@unmc_gsa

@unmcfacdev

@unogradstudies

@niallrundle

@tandfonline

@unmc_mdphd

@somedocs

@doctorkevin

@forbes

Top hashtags:

#unmcilead

#unmciae

#meded

#authortips

#twittertips

#somedocs

#promotion

#research

#science

Tweet
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@thartman2u

@unmc_gsa

@unmcfacdev

@unogradstudies

@niallrundle

@tandfonline

@unmc_mdphd

@somedocs

@doctorkevin

@forbes

Top hashtags:

#unmcilead

#unmciae

#meded

#authortips

#twittertips

#somedocs

#promotion

#research

#science

Tweet

Description:

The graph represents a network of 14 Twitter users whose tweets in the requested range contained "unmciae", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 21 May 2020 at 01:24 UTC.

The requested start date was Wednesday, 20 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 41-minute period from Monday, 18 May 2020 at 07:30 UTC to Monday, 18 May 2020 at 08:11 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.

The requested start date was Wednesday, 20 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 41-minute period from Monday, 18 May 2020 at 07:30 UTC to Monday, 18 May 2020 at 08:11 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.

Vertices : 14

Unique Edges : 9

Edges With Duplicates : 8

Total Edges : 17

Number of Edge Types : 1

Mentions : 17

Self-Loops : 0

Reciprocated Vertex Pair Ratio : 0

Reciprocated Edge Ratio : 0

Connected Components : 1

Single-Vertex Connected Components : 0

Maximum Vertices in a Connected Component : 14

Maximum Edges in a Connected Component : 17

Maximum Geodesic Distance (Diameter) : 2

Average Geodesic Distance : 1.72449

Graph Density : 0.0714285714285714

Modularity : 0.179931

NodeXL Version : 1.0.1.433

Data Import : The graph represents a network of 14 Twitter users whose tweets in the requested range contained "unmciae", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 21 May 2020 at 01:24 UTC.

The requested start date was Wednesday, 20 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 41-minute period from Monday, 18 May 2020 at 07:30 UTC to Monday, 18 May 2020 at 08:11 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 : unmciae

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 : 9

Edges With Duplicates : 8

Total Edges : 17

Number of Edge Types : 1

Mentions : 17

Self-Loops : 0

Reciprocated Vertex Pair Ratio : 0

Reciprocated Edge Ratio : 0

Connected Components : 1

Single-Vertex Connected Components : 0

Maximum Vertices in a Connected Component : 14

Maximum Edges in a Connected Component : 17

Maximum Geodesic Distance (Diameter) : 2

Average Geodesic Distance : 1.72449

Graph Density : 0.0714285714285714

Modularity : 0.179931

NodeXL Version : 1.0.1.433

Data Import : The graph represents a network of 14 Twitter users whose tweets in the requested range contained "unmciae", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 21 May 2020 at 01:24 UTC.

The requested start date was Wednesday, 20 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 41-minute period from Monday, 18 May 2020 at 07:30 UTC to Monday, 18 May 2020 at 08:11 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 : unmciae

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

@thartman2u | |

Follow |

@unmc_gsa | |

Follow |

@unmcfacdev | |

Follow |

@unogradstudies | |

Follow |

@niallrundle | |

Follow |

@tandfonline | |

Follow |

@unmc_mdphd | |

Follow |

@somedocs | |

Follow |

@doctorkevin | |

Follow |

@forbes | |

Follow |

Top URLs in Tweet in Entire Graph:

[1] https://twitter.com/niallrundle/status/1262292919232483329

[1] https://twitter.com/doctorkevin/status/1262280516390322176

Top URLs in Tweet in G1:

[1] https://twitter.com/niallrundle/status/1262292919232483329

[1] https://twitter.com/doctorkevin/status/1262280516390322176

[1] https://twitter.com/niallrundle/status/1262292919232483329

[1] https://twitter.com/doctorkevin/status/1262280516390322176

Top URLs in Tweet in G1:

[1] https://twitter.com/niallrundle/status/1262292919232483329

[1] https://twitter.com/doctorkevin/status/1262280516390322176

Top Hashtags in Tweet in Entire Graph:

[2] unmcilead

[2] unmciae

[1] meded

[1] authortips

[1] twittertips

[1] somedocs

[1] promotion

[1] research

[1] science

[1] presentation

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Top Hashtags in Tweet in G1:

[2] unmcilead

[2] unmciae

[1] meded

[1] authortips

[1] twittertips

[1] somedocs

[1] promotion

[1] research

[1] science

[1] presentation

[2] unmcilead

[2] unmciae

[1] meded

[1] authortips

[1] twittertips

[1] somedocs

[1] promotion

[1] research

[1] science

[1] presentation

Tweet

Top Hashtags in Tweet in G1:

[2] unmcilead

[2] unmciae

[1] meded

[1] authortips

[1] twittertips

[1] somedocs

[1] promotion

[1] research

[1] science

[1] presentation

Top Words in Tweet in Entire Graph:

[] Top Word Pairs in Tweet in Entire Graph

[] Entire Graph Count

Top Words in Tweet in G1:

[2] unmcfacdev

[2] #unmcilead

[2] #unmciae

[2] harvardmacy

[2] mcmasterhla

[2] elamprogram

[] Top Word Pairs in Tweet in Entire Graph

[] Entire Graph Count

Top Words in Tweet in G1:

[2] unmcfacdev

[2] #unmcilead

[2] #unmciae

[2] harvardmacy

[2] mcmasterhla

[2] elamprogram

Top Mentioned in Entire Graph:

Top Mentioned in G1:

@unmcfacdev | ||

@harvardmacy | ||

@mcmasterhla | ||

@elamprogram | ||

@niallrundle | ||

@tandfonline | ||

@unmc_mdphd | ||

@unmc_gsa | ||

@unogradstudies | ||

@somedocs | ||

Top Mentioned in G1:

@unmcfacdev | ||

@harvardmacy | ||

@mcmasterhla | ||

@elamprogram | ||

@niallrundle | ||

@tandfonline | ||

@unmc_mdphd | ||

@unmc_gsa | ||

@unogradstudies | ||

@somedocs | ||

Top Tweeters in Entire Graph:

Top Tweeters in G1:

@forbes | ||

@thartman2u | ||

@somedocs | ||

@harvardmacy | ||

@doctorkevin | ||

@tandfonline | ||

@elamprogram | ||

@unogradstudies | ||

@wlgh19 | ||

@niallrundle | ||

Top Tweeters in G1:

@forbes | ||

@thartman2u | ||

@somedocs | ||

@harvardmacy | ||

@doctorkevin | ||

@tandfonline | ||

@elamprogram | ||

@unogradstudies | ||

@wlgh19 | ||

@niallrundle | ||