datacommunitydc_2020-09-14_22-51-36.xlsx (experimental version)

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From:

NodeXLExcelAutomator

Uploaded on:

September 15, 2020

Short Description:

datacommunitydc via NodeXL https://bit.ly/32wiz6o

@datacommunitydc

@profjimliew

@atallc

@msdtechcode

@discdiver

@sorishapragyan

@wdncnu

@mikejadoo

@yahoofinance

@ustreasury

Top hashtags:

#thankyou

#dataweekdc

#vafix

#mdpijrfm

#uas

#utm

Tweet
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@datacommunitydc

@profjimliew

@atallc

@msdtechcode

@discdiver

@sorishapragyan

@wdncnu

@mikejadoo

@yahoofinance

@ustreasury

Top hashtags:

#thankyou

#dataweekdc

#vafix

#mdpijrfm

#uas

#utm

Tweet

Description:

The graph represents a network of 37 Twitter users whose tweets in the requested range contained "datacommunitydc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 15 September 2020 at 05:51 UTC.

The requested start date was Tuesday, 15 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 68-day, 9-hour, 4-minute period from Saturday, 04 July 2020 at 17:27 UTC to Friday, 11 September 2020 at 02:32 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 Tuesday, 15 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 68-day, 9-hour, 4-minute period from Saturday, 04 July 2020 at 17:27 UTC to Friday, 11 September 2020 at 02:32 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 : 37

Unique Edges : 38

Edges With Duplicates : 5

Total Edges : 43

Number of Edge Types : 5

Replies to : 4

Mentions : 30

Tweet : 1

MentionsInRetweet : 6

Retweet : 2

Self-Loops : 1

Reciprocated Vertex Pair Ratio : 0

Reciprocated Edge Ratio : 0

Connected Components : 2

Single-Vertex Connected Components : 1

Maximum Vertices in a Connected Component : 36

Maximum Edges in a Connected Component : 42

Maximum Geodesic Distance (Diameter) : 4

Average Geodesic Distance : 2.963763

Graph Density : 0.0292792792792793

Modularity : 0.60073

NodeXL Version : 1.0.1.440

Data Import : The graph represents a network of 37 Twitter users whose tweets in the requested range contained "datacommunitydc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 15 September 2020 at 05:51 UTC.

The requested start date was Tuesday, 15 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 68-day, 9-hour, 4-minute period from Saturday, 04 July 2020 at 17:27 UTC to Friday, 11 September 2020 at 02:32 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 : datacommunitydc

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 : 38

Edges With Duplicates : 5

Total Edges : 43

Number of Edge Types : 5

Replies to : 4

Mentions : 30

Tweet : 1

MentionsInRetweet : 6

Retweet : 2

Self-Loops : 1

Reciprocated Vertex Pair Ratio : 0

Reciprocated Edge Ratio : 0

Connected Components : 2

Single-Vertex Connected Components : 1

Maximum Vertices in a Connected Component : 36

Maximum Edges in a Connected Component : 42

Maximum Geodesic Distance (Diameter) : 4

Average Geodesic Distance : 2.963763

Graph Density : 0.0292792792792793

Modularity : 0.60073

NodeXL Version : 1.0.1.440

Data Import : The graph represents a network of 37 Twitter users whose tweets in the requested range contained "datacommunitydc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 15 September 2020 at 05:51 UTC.

The requested start date was Tuesday, 15 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 68-day, 9-hour, 4-minute period from Saturday, 04 July 2020 at 17:27 UTC to Friday, 11 September 2020 at 02:32 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 : datacommunitydc

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

@datacommunitydc | |

Follow |

@profjimliew | |

Follow |

@atallc | |

Follow |

@msdtechcode | |

Follow |

@discdiver | |

Follow |

@sorishapragyan | |

Follow |

@wdncnu | |

Follow |

@mikejadoo | |

Follow |

@yahoofinance | |

Follow |

@ustreasury | |

Follow |

Top URLs in Tweet in Entire Graph:

[1] https://twitter.com/DataCommunityDC/status/1298409449711906824

Top URLs in Tweet in G8:

[1] https://twitter.com/DataCommunityDC/status/1298409449711906824

[1] https://twitter.com/DataCommunityDC/status/1298409449711906824

Top URLs in Tweet in G8:

[1] https://twitter.com/DataCommunityDC/status/1298409449711906824

Top Hashtags in Tweet in Entire Graph:

[2] thankyou

[2] dataweekdc

[2] vafix

[1] mdpijrfm

[1] uas

[1] utm

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Top Hashtags in Tweet in G1:

[1] mdpijrfm

Top Hashtags in Tweet in G2:

[1] vafix

[1] uas

[1] utm

Top Hashtags in Tweet in G3:

[2] thankyou

[2] dataweekdc

[1] vafix

[2] thankyou

[2] dataweekdc

[2] vafix

[1] mdpijrfm

[1] uas

[1] utm

Tweet

Top Hashtags in Tweet in G1:

[1] mdpijrfm

Top Hashtags in Tweet in G2:

[1] vafix

[1] uas

[1] utm

Top Hashtags in Tweet in G3:

[2] thankyou

[2] dataweekdc

[1] vafix

Top Words in Tweet in Entire Graph:

[7] datacommunitydc

[4] atallc

[3] one

[2] thank

[2] much

[2] very

[2] more

[2] huge

[2] #thankyou

[2] 2019

Top Words in Tweet in G3:

[3] atallc

[2] one

[2] more

[2] huge

[2] #thankyou

[2] 2019

[2] #dataweekdc

[2] title

[2] sponsors

[2] amstatnews

Top Words in Tweet in G6:

[2] much

[2] very

[7] datacommunitydc

[4] atallc

[3] one

[2] thank

[2] much

[2] very

[2] more

[2] huge

[2] #thankyou

[2] 2019

Top Words in Tweet in G3:

[3] atallc

[2] one

[2] more

[2] huge

[2] #thankyou

[2] 2019

[2] #dataweekdc

[2] title

[2] sponsors

[2] amstatnews

Top Words in Tweet in G6:

[2] much

[2] very

Top Word Pairs in Tweet in Entire Graph:

[2] one,more

[2] more,huge

[2] huge,#thankyou

[2] #thankyou,2019

[2] 2019,#dataweekdc

[2] #dataweekdc,title

[2] title,sponsors

[2] sponsors,amstatnews

[2] amstatnews,atallc

[2] atallc,datastax

Top Word Pairs in Tweet in G3:

[2] one,more

[2] more,huge

[2] huge,#thankyou

[2] #thankyou,2019

[2] 2019,#dataweekdc

[2] #dataweekdc,title

[2] title,sponsors

[2] sponsors,amstatnews

[2] amstatnews,atallc

[2] atallc,datastax

[2] one,more

[2] more,huge

[2] huge,#thankyou

[2] #thankyou,2019

[2] 2019,#dataweekdc

[2] #dataweekdc,title

[2] title,sponsors

[2] sponsors,amstatnews

[2] amstatnews,atallc

[2] atallc,datastax

Top Word Pairs in Tweet in G3:

[2] one,more

[2] more,huge

[2] huge,#thankyou

[2] #thankyou,2019

[2] 2019,#dataweekdc

[2] #dataweekdc,title

[2] title,sponsors

[2] sponsors,amstatnews

[2] amstatnews,atallc

[2] atallc,datastax

Top Replied-To in Entire Graph:

Top Replied-To in G4:

Top Replied-To in G5:

Top Replied-To in G6:

Top Replied-To in G7:

@notfakebrendan | ||

@datassist | ||

@hussainsultan | ||

@datacommunitydc | ||

Top Replied-To in G4:

@notfakebrendan | ||

Top Replied-To in G5:

@hussainsultan | ||

Top Replied-To in G6:

@datassist | ||

Top Replied-To in G7:

@datacommunitydc | ||

Top Mentioned in Entire Graph:

Top Mentioned in G1:

Top Mentioned in G2:

Top Mentioned in G3:

Top Mentioned in G4:

Top Mentioned in G5:

Top Mentioned in G6:

Top Mentioned in G7:

@datacommunitydc | ||

@atallc | ||

@amstatnews | ||

@datastax | ||

@risingmedia | ||

@davebridgeland | ||

@thos_jones | ||

@jrfm_mdpi | ||

@jhucarey | ||

@wsj | ||

Top Mentioned in G1:

@jrfm_mdpi | ||

@jhucarey | ||

@wsj | ||

@financialtimes | ||

@businessinsider | ||

@cfainstitute | ||

@ustreasury | ||

@yahoofinance | ||

@awscloud | ||

@datacommunitydc | ||

Top Mentioned in G2:

@craigparisot | ||

@atallc | ||

@virginiadoav | ||

@citunmanned | ||

@citorg | ||

@vadot | ||

@faanews | ||

Top Mentioned in G3:

@atallc | ||

@amstatnews | ||

@datastax | ||

@risingmedia | ||

@datacommunitydc | ||

Top Mentioned in G4:

@davebridgeland | ||

@datacommunitydc | ||

@thos_jones | ||

Top Mentioned in G5:

@pwang | ||

@anacondainc | ||

@datacommunitydc | ||

Top Mentioned in G6:

@datavizdc | ||

@datacommunitydc | ||

Top Mentioned in G7:

@novadeeplearn | ||

@leadincommunity | ||

Top Tweeters in Entire Graph:

Top Tweeters in G1:

Top Tweeters in G2:

Top Tweeters in G3:

Top Tweeters in G4:

Top Tweeters in G5:

Top Tweeters in G6:

Top Tweeters in G7:

Top Tweeters in G8:

@businessinsider | ||

@wsj | ||

@financialtimes | ||

@yahoofinance | ||

@awscloud | ||

@cfainstitute | ||

@sorishapragyan | ||

@pwang | ||

@faanews | ||

@vadot | ||

Top Tweeters in G1:

@businessinsider | ||

@wsj | ||

@financialtimes | ||

@yahoofinance | ||

@awscloud | ||

@cfainstitute | ||

@jhucarey | ||

@profjimliew | ||

@ustreasury | ||

@jrfm_mdpi | ||

Top Tweeters in G2:

@faanews | ||

@vadot | ||

@citorg | ||

@atallc | ||

@craigparisot | ||

@virginiadoav | ||

@citunmanned | ||

Top Tweeters in G3:

@amstatnews | ||

@datastax | ||

@datacommunitydc | ||

@mikejadoo | ||

@risingmedia | ||

Top Tweeters in G4:

@notfakebrendan | ||

@thos_jones | ||

@discdiver | ||

@davebridgeland | ||

Top Tweeters in G5:

@pwang | ||

@anacondainc | ||

@msdtechcode | ||

@hussainsultan | ||

Top Tweeters in G6:

@wdncnu | ||

@datassist | ||

@datavizdc | ||

Top Tweeters in G7:

@sorishapragyan | ||

@leadincommunity | ||

@novadeeplearn | ||

Top Tweeters in G8:

@marjoriewillner | ||