The graph represents a network of 22 Twitter users whose recent tweets contained "#MASConf", 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 Sunday, 17 November 2019 at 10:37 UTC.
The tweets in the network were tweeted over the 6-day, 3-hour, 54-minute period from Monday, 11 November 2019 at 06:32 UTC to Sunday, 17 November 2019 at 10:26 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.
Author Description
Vertices : 22
Unique Edges : 49
Edges With Duplicates : 24
Total Edges : 73
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.0566037735849057
Reciprocated Edge Ratio : 0.107142857142857
Connected Components : 4
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 12
Maximum Edges in a Connected Component : 60
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.282828
Graph Density : 0.121212121212121
Modularity : 0.375586
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 22 Twitter users whose recent tweets contained "#MASConf", 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 Sunday, 17 November 2019 at 10:37 UTC.
The tweets in the network were tweeted over the 6-day, 3-hour, 54-minute period from Monday, 11 November 2019 at 06:32 UTC to Sunday, 17 November 2019 at 10:26 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 : TwitterSearch
Graph Term : #MASConf
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[9] nov,18 [9] 18,19 [8] #masconf,berlin [8] berlin,nov [8] 19,digitalspacelab [8] digitalspacelab,mas_conf [8] #marketingdigital,nodexl [8] nodexl,marc_smith [8] marc_smith,smr_foundation [7] #nodexl,events Top Word Pairs in Tweet in G1:
[8] #masconf,berlin [8] berlin,nov [8] nov,18 [8] 18,19 [8] 19,digitalspacelab [8] digitalspacelab,mas_conf [8] #marketingdigital,nodexl [8] nodexl,marc_smith [8] marc_smith,smr_foundation [7] #nodexl,events Top Word Pairs in Tweet in G2:
[3] heute,großer [3] großer,dsb [3] dsb,pm [3] pm,tag [3] tag,analytics [3] analytics,co [3] co,nur [3] nur,einwilligung [3] einwilligung,da [3] da,habe Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: