The graph represents a network of 116 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, 22 July 2020 at 05:20 UTC.
The requested start date was Wednesday, 22 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 81-day, 4-hour, 36-minute period from Friday, 01 May 2020 at 16:48 UTC to Tuesday, 21 July 2020 at 21:25 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 : 116
Unique Edges : 91
Edges With Duplicates : 423
Total Edges : 514
Number of Edge Types : 5
Mentions : 165
Retweet : 108
MentionsInRetweet : 224
Tweet : 15
Replies to : 2
Self-Loops : 15
Reciprocated Vertex Pair Ratio : 0.0861244019138756
Reciprocated Edge Ratio : 0.158590308370044
Connected Components : 9
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 101
Maximum Edges in a Connected Component : 494
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.626207
Graph Density : 0.0170164917541229
Modularity : 0.288045
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 116 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, 22 July 2020 at 05:20 UTC.
The requested start date was Wednesday, 22 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 81-day, 4-hour, 36-minute period from Friday, 01 May 2020 at 16:48 UTC to Tuesday, 21 July 2020 at 21:25 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:
[76] going,virtual [75] #smsociety,2020 [59] 2020,going [59] virtual,free [32] free,attend [31] attend,sure [31] sure,register [31] register,join [31] join,featured [31] featured,opening Top Word Pairs in Tweet in G1:
[34] going,virtual [31] #smsociety,2020 [27] 2020,going [27] virtual,free [24] free,attend [24] attend,sure [24] sure,register [24] register,join [24] join,featured [24] featured,opening Top Word Pairs in Tweet in G2:
[29] #smsociety,2020 [24] 2020,going [24] going,virtual [24] virtual,free [20] heard,#smsociety [20] free,we've [20] we've,updated [20] updated,info [20] info,participate [20] participate,83 Top Word Pairs in Tweet in G3:
[27] #smsociety,nodexl [19] claudelelay,sonicux [15] top,hashtags [15] hashtags,#smsociety [15] #smsociety,#socialmedia [15] #cfp,#socmed [15] #researchers,#depaulu [15] #depaulu,#soups2020 [15] #soups2020,#cui2020 [14] nodexl,docassar Top Word Pairs in Tweet in G4:
[13] going,virtual [6] #smsociety,2020 [6] international,conference [6] conference,social [6] social,media [6] media,society [5] society,going [5] virtual,year [5] year,22 [5] 22,24 Top Word Pairs in Tweet in G5:
[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 G6:
[4] congratulations,infogamerist [4] infogamerist,phd [4] phd,student [4] student,fnalhayan [4] fnalhayan,paper [4] paper,upcoming [4] upcoming,#smsociety [4] #smsociety,2020 [4] 2020,conference Top Word Pairs in Tweet in G7:
[2] #smsociety,2020 Top Word Pairs in Tweet in G8:
[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 G3:
Top Replied-To in G4:
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 G6:
Top Mentioned in G8:
Top Mentioned in G9:
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:
Top Tweeters in G9: