The graph represents a network of 165 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 Thursday, 06 February 2020 at 20:48 UTC.
The requested start date was Thursday, 06 February 2020 at 13:44 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 97-day, 4-hour, 10-minute period from Friday, 01 November 2019 at 00:18 UTC to Thursday, 06 February 2020 at 04:29 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 : 165
Unique Edges : 217
Edges With Duplicates : 240
Total Edges : 457
Number of Edge Types : 4
Replies to : 11
MentionsInRetweet : 257
Mentions : 162
Tweet : 27
Self-Loops : 27
Reciprocated Vertex Pair Ratio : 0.0463320463320463
Reciprocated Edge Ratio : 0.0885608856088561
Connected Components : 5
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 155
Maximum Edges in a Connected Component : 441
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.678938
Graph Density : 0.0100147819660015
Modularity : 0.390429
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 165 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 Thursday, 06 February 2020 at 20:48 UTC.
The requested start date was Thursday, 06 February 2020 at 13:44 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 97-day, 4-hour, 10-minute period from Friday, 01 November 2019 at 00:18 UTC to Thursday, 06 February 2020 at 04:29 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:
[82] social,media [61] diverse,voices [60] 22,24 [55] 24,2020 [51] voices,promises [51] promises,perils [50] chicago,usa [48] 2020,chicago [46] july,22 [45] usa,#depaulu Top Word Pairs in Tweet in G1:
[41] 22,24 [41] diverse,voices [37] 24,2020 [36] voices,promises [36] promises,perils [35] chicago,usa [35] july,22 [34] 2020,chicago [32] #smsociety,july [32] usa,#depaulu Top Word Pairs in Tweet in G2:
[36] social,media [15] diverse,voices [15] reinforce,division [15] #smsociety,conference [14] 22,24 [14] 24,2020 [14] media,platforms [14] platforms,used [14] used,empower [14] empower,marginalized Top Word Pairs in Tweet in G3:
[9] top,hashtags [9] hashtags,#smsociety [8] marc_smith,jillhopke [8] jillhopke,smlabto [8] #smsociety,#cfp [8] #cfp,#socialmedia [8] #socialmedia,#researchers [8] #researchers,#depaulu [8] #depaulu,#socmed [8] #socmed,#soups2020 Top Word Pairs in Tweet in G4:
[4] forgot,waiting [4] waiting,call [4] call,come [4] come,really [4] really,go [4] go,going [4] going,wanna [4] wanna,propose [3] melaniesage,forgot Top Word Pairs in Tweet in G5:
[12] social,media [7] international,conference [6] media,researchers [5] hello,fellow [5] fellow,#hicss [5] #hicss,social [5] researchers,consider [5] consider,submitting [5] submitting,awesome [5] awesome,research Top Word Pairs in Tweet in G6:
[4] almostjohnvines,acmdis2020 [4] acmdis2020,hear [4] hear,#soups2020 [4] #soups2020,boston [4] boston,#cui2020 [4] #cui2020,bilbao [4] bilbao,#icwsm2020 [4] #icwsm2020,atlanta [4] atlanta,#smsociety [3] shaunlawson,almostjohnvines Top Word Pairs in Tweet in G7:
[2] suayozkula,notes [2] notes,free [2] free,versions [2] versions,paid [2] paid,tools [2] tools,clear [2] clear,limitations [2] limitations,researchers [2] researchers,reminds [2] reminds,invaluable Top Word Pairs in Tweet in G9:
[3] #husqvarna,#husqvarna701 [3] #husqvarna701,#701 [3] #701,#supermoto [3] #supermoto,#motard [3] #motard,#motardmafia [3] #motardmafia,#bestmotard [3] #bestmotard,#smsociety [3] #smsociety,#supermotofools [3] #supermotofools,#bike [3] #bike,#smsproject Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
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 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:
Top Tweeters in G9: