The graph represents a network of 34 Twitter users whose recent tweets contained "#ICWSM21", 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 Monday, 14 June 2021 at 18:08 UTC.
The tweets in the network were tweeted over the 6-day, 8-hour, 22-minute period from Monday, 07 June 2021 at 12:56 UTC to Sunday, 13 June 2021 at 21:18 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 : 34
Unique Edges : 58
Edges With Duplicates : 17
Total Edges : 75
Number of Edge Types : 4
Mentions : 38
MentionsInRetweet : 25
Retweet : 11
Tweet : 1
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0.0666666666666667
Reciprocated Edge Ratio : 0.125
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 34
Maximum Edges in a Connected Component : 75
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.536332
Graph Density : 0.0570409982174688
Modularity : 0.400489
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 34 Twitter users whose recent tweets contained "#ICWSM21", 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 Monday, 14 June 2021 at 18:08 UTC.
The tweets in the network were tweeted over the 6-day, 8-hour, 22-minute period from Monday, 07 June 2021 at 12:56 UTC to Sunday, 13 June 2021 at 21:18 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 : #ICWSM21
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[9] icwsm,#icwsm21 [5] group,video [5] video,conversations [4] #icwsm21,paper [3] virtual,conference [3] paper,deception [3] deception,detection [3] detection,group [3] conversations,using [3] using,dynamic Top Word Pairs in Tweet in G1:
[6] icwsm,#icwsm21 [5] video,conversations [4] group,video [3] paper,deception [3] deception,detection [3] detection,group [3] conversations,using [3] using,dynamic [3] dynamic,interaction [3] interaction,networks Top Word Pairs in Tweet in G2:
[2] icwsm,#icwsm21 [2] today,open [2] open,#icwsm21 [2] #icwsm21,registered [2] registered,attendees [2] attendees,preview [2] preview,first [2] first,date [2] date,nervous [2] nervous,keep Top Word Pairs in Tweet in G4:
[2] super,excited [2] excited,present [2] present,paper [2] paper,under [2] under,spotlight [2] spotlight,web [2] web,tracking [2] tracking,indian [2] indian,partisan [2] partisan,news Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: