NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

#mlweek_2022-06-24_16-32-27.xlsx (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
Connected Action NodeXL-Reports
Uploaded on:
June 24, 2022
Short Description:
#mlweek via NodeXL https://bit.ly/3blUzK9
@pawcon
@snorkelai
@arjunsprakash
@dotdataus
@ajratner
@pyscalellc
@nidhishanbhag
@usamaf
@eventible_
@experiential_ai

Top hashtags:
#mlweek
#machinelearning
#predictiveanalytics
#pawcon
#b2bevents
#events

Description:
Description
The graph represents a network of 18 Twitter users whose recent tweets contained "#mlweek", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 24 June 2022 at 23:32 UTC.

The tweets in the network were tweeted over the 8-day, 19-hour, 27-minute period from Wednesday, 15 June 2022 at 15:32 UTC to Friday, 24 June 2022 at 11:00 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 : 18
Unique Edges : 23
Edges With Duplicates : 2
Total Edges : 25
Number of Edge Types : 4
Retweet : 10
MentionsInRetweet : 7
Mentions : 5
Tweet : 3
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0.05
Reciprocated Edge Ratio : 0.0952380952380952
Connected Components : 5
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 9
Maximum Edges in a Connected Component : 13
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.321429
Graph Density : 0.0686274509803922
Modularity : 0.5284
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 18 Twitter users whose recent tweets contained "#mlweek", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 24 June 2022 at 23:32 UTC.

The tweets in the network were tweeted over the 8-day, 19-hour, 27-minute period from Wednesday, 15 June 2022 at 15:32 UTC to Friday, 24 June 2022 at 11:00 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 : TwitterSearch
Graph Term : #mlweek
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 URLs in Tweet in Entire Graph:
[4] https://www.predictiveanalyticsworld.com/business/2022/
[3] https://mailchi.mp/risingmedia.com/machine-learning-times-654783
[2] https://eventible.com/manufacturing/predictive-analytics-world/review
[1] https://www.predictiveanalyticsworld.com/business/2022/agenda/#session98831
[1] https://www.predictiveanalyticsworld.com/machinelearningweek/agenda-details/#session98581

Top URLs in Tweet in G1:
[4] https://www.predictiveanalyticsworld.com/business/2022/
[3] https://mailchi.mp/risingmedia.com/machine-learning-times-654783
[2] https://eventible.com/manufacturing/predictive-analytics-world/review

Top URLs in Tweet in G3:
[1] https://www.predictiveanalyticsworld.com/business/2022/agenda/#session98831
[1] https://www.predictiveanalyticsworld.com/machinelearningweek/agenda-details/#session98581

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[17] mlweek
[6] machinelearning
[5] predictiveanalytics
[3] pawcon
[2] b2bevents
[2] events
[2] machinelearningweek
[2] aievent
[1] eventprofs
[1] ai



Top Hashtags in Tweet in G1:
[8] mlweek
[5] predictiveanalytics
[4] machinelearning
[2] b2bevents
[2] events
[1] eventprofs
[1] pawcon

Top Hashtags in Tweet in G2:
[5] mlweek

Top Hashtags in Tweet in G3:
[2] mlweek
[2] machinelearningweek
[2] aievent
[1] machinelearning
[1] ai
[1] aicasestudies

Top Hashtags in Tweet in G4:
[2] mlweek
[2] pawcon
[1] lasvegas
[1] python
[1] machinelearning

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@pawcon
@snorkelai
@usamaf

Top Mentioned in G1:
@pawcon

Top Mentioned in G2:
@snorkelai

Top Mentioned in G3:
@usamaf

Top Tweeters
Top Tweeters in Entire Graph:
@ml_tweet_bot
@pyscalellc
@manifattura40
@pawcon
@deanabb
@usamaf
@predictanalytic
@wasya
@nicacton
@ajratner

Top Tweeters in G1:
@ml_tweet_bot
@pyscalellc
@manifattura40
@pawcon
@predictanalytic
@wasya
@eventible_
@ritsukotague
@dotdataus

Top Tweeters in G2:
@nicacton
@ajratner
@snorkelai
@nidhishanbhag
@arjunsprakash

Top Tweeters in G3:
@usamaf
@experiential_ai

Top Tweeters in G4:
@deanabb
@clintonbrownley


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.