svforum, Twitter, 8/17/2022 9:21:14 AM, 280207


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svforum_2022-08-16_21-40-00.xlsx
svforum_2022-08-16_21-40-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 17, 2022
Short Description:
svforum via NodeXL https://bit.ly/3bW7gw1
@ldduval11
@svforum
@sfdenyse
@latinageeks
@svforum_elsig
@hwstaffingsol
@devans00
@sf_bayarea_acm

Top hashtags:
#machinelearning
#hive
#svforum
#datascience
#ml
#cloud
#grok
#bigml
#snapanalytx
#algorithms

Description:
Description
The graph represents a network of 8 Twitter users whose tweets in the requested range contained "svforum", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 August 2022 at 04:40 UTC.

The requested start date was Wednesday, 17 August 2022 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 72-day, 11-hour, 8-minute period from Sunday, 22 May 2022 at 18:55 UTC to Wednesday, 03 August 2022 at 06:04 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 : 8
Unique Edges : 5
Edges With Duplicates : 2
Total Edges : 7
Number of Edge Types : 5
Mentions : 3
Retweet : 1
MentionsInRetweet : 1
Tweet : 1
Replies to : 1
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 4
Maximum Edges in a Connected Component : 3
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 0.916667
Graph Density : 0.0892857142857143
Modularity : 0.535714
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8 Twitter users whose tweets in the requested range contained "svforum", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 August 2022 at 04:40 UTC.

The requested start date was Wednesday, 17 August 2022 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 72-day, 11-hour, 8-minute period from Sunday, 22 May 2022 at 18:55 UTC to Wednesday, 03 August 2022 at 06:04 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 : svforum
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] youtube.com
[1] creativehwstaffing.com

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

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2] machinelearning
[2] hive
[2] svforum
[2] datascience
[2] ml
[2] cloud
[2] grok
[2] bigml
[1] snapanalytx
[1] algorithms



Top Hashtags in Tweet in G2:
[2] machinelearning
[2] hive
[2] svforum
[2] datascience
[2] ml
[2] cloud
[2] grok
[2] bigml
[1] snapanalytx
[1] algorithms

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

Top Replied-To in G3:
@svforum_elsig

Top Mentioned
Top Tweeters

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