The graph represents a network of 48 Twitter users whose tweets in the requested range contained "#SMSociety", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 15 July 2020 at 05:20 UTC.
The requested start date was Wednesday, 15 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 74-day, 1-hour, 26-minute period from Friday, 01 May 2020 at 16:48 UTC to Tuesday, 14 July 2020 at 18:15 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 : 48
Unique Edges : 57
Edges With Duplicates : 212
Total Edges : 269
Number of Edge Types : 5
Tweet : 5
Retweet : 24
MentionsInRetweet : 106
Mentions : 132
Replies to : 2
Self-Loops : 5
Reciprocated Vertex Pair Ratio : 0.0891089108910891
Reciprocated Edge Ratio : 0.163636363636364
Connected Components : 7
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 40
Maximum Edges in a Connected Component : 262
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.58473
Graph Density : 0.048758865248227
Modularity : 0.224157
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 48 Twitter users whose tweets in the requested range contained "#SMSociety", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 15 July 2020 at 05:20 UTC.
The requested start date was Wednesday, 15 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 74-day, 1-hour, 26-minute period from Friday, 01 May 2020 at 16:48 UTC to Tuesday, 14 July 2020 at 18:15 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 : #SMSociety
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:
[21] #smsociety,nodexl [19] claudelelay,sonicux [14] nodexl,docassar [13] top,hashtags [13] hashtags,#smsociety [13] #smsociety,#socialmedia [13] #cfp,#socmed [13] #researchers,#depaulu [13] #depaulu,#soups2020 [13] #soups2020,#cui2020 Top Word Pairs in Tweet in G1:
[19] #smsociety,nodexl [18] claudelelay,sonicux [13] nodexl,docassar [13] top,hashtags [13] hashtags,#smsociety [13] #smsociety,#socialmedia [13] #cfp,#socmed [13] #researchers,#depaulu [13] #depaulu,#soups2020 [13] #soups2020,#cui2020 Top Word Pairs in Tweet in G2:
[3] 2020,#smsociety [3] #smsociety,going [3] going,virtual [3] virtual,way [3] way,support [3] support,research [3] research,community [3] community,waiving [3] waiving,registration [3] registration,fees Top Word Pairs in Tweet in G3:
[4] very,excited [4] excited,bod0ng [4] bod0ng,choux [4] choux,tobias [4] tobias,hecking [4] hecking,editing [4] editing,special [4] special,section [4] section,#networks [4] #networks,#learninganalytics Top Word Pairs in Tweet in G4:
[6] found,#smsociety [6] #smsociety,socmediaconf [6] socmediaconf,going [6] going,virtual [6] virtual,year [6] year,using [6] using,brilliant [6] brilliant,idea [6] idea,uploading [6] uploading,papers Top Word Pairs in Tweet in G5:
[2] smr_foundation,#smsociety [2] #smsociety,nodexl Top Word Pairs in Tweet in G6:
[2] #smsociety,2020 Top Word Pairs in Tweet in G7:
[2] distinguish,between [2] between,valid [2] valid,criticism [2] criticism,unfair [2] unfair,personal [2] personal,attack [2] attack,#smsociety [2] #smsociety,paper [2] paper,suggests [2] suggests,attack Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
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 G7:
Top Mentioned in G8:
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: