The graph represents a network of 170 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, 02 January 2020 at 20:48 UTC.
The requested start date was Thursday, 02 January 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 79-day, 6-hour, 36-minute period from Friday, 04 October 2019 at 02:43 UTC to Sunday, 22 December 2019 at 09:20 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 : 170
Unique Edges : 201
Edges With Duplicates : 140
Total Edges : 341
Number of Edge Types : 4
MentionsInRetweet : 236
Replies to : 6
Mentions : 81
Tweet : 18
Self-Loops : 18
Reciprocated Vertex Pair Ratio : 0.0343347639484979
Reciprocated Edge Ratio : 0.0663900414937759
Connected Components : 6
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 159
Maximum Edges in a Connected Component : 326
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.684805
Graph Density : 0.00838844413505047
Modularity : 0.441177
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 170 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, 02 January 2020 at 20:48 UTC.
The requested start date was Thursday, 02 January 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 79-day, 6-hour, 36-minute period from Friday, 04 October 2019 at 02:43 UTC to Sunday, 22 December 2019 at 09:20 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:
[105] diverse,voices [105] voices,promises [105] promises,perils [78] perils,social [73] social,media [69] #smsociety,2020 [65] 2020,#cfp [65] #cfp,diverse [60] #socialmedia,#researchers [59] calling,#socialmedia Top Word Pairs in Tweet in G1:
[77] diverse,voices [77] voices,promises [77] promises,perils [59] perils,social [47] 2020,#cfp [46] #smsociety,2020 [46] #cfp,diverse [45] calling,#socialmedia [45] #socialmedia,#researchers [45] #researchers,#smsociety Top Word Pairs in Tweet in G2:
[38] social,media [16] reinforce,division [15] diverse,voices [15] voices,promises [15] promises,perils [13] 22,24 [13] media,platforms [13] platforms,used [13] used,empower [13] empower,marginalized Top Word Pairs in Tweet in G3:
[5] #smsociety,#socialmedia [5] top,hashtags [5] hashtags,#smsociety [4] marc_smith,alvinfoo [4] alvinfoo,chidambara09 [4] chidambara09,albertogaruccio [4] albertogaruccio,vivianfrancos [4] vivianfrancos,alexfenton [4] alexfenton,mihkal [4] mihkal,ingcolombo 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] 2020,deadline [10] #smsociety,2020 [7] diverse,voices [7] voices,promises [7] promises,perils [6] call,papers [6] papers,#smsociety [6] deadline,full [6] full,papers [6] papers,wip 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 G8:
[2] #posdoc,patricia [2] patricia,rossini [2] rossini,patyrossini [2] patyrossini,presenting [2] presenting,#research [2] #research,socmediaconf [2] socmediaconf,#smsociety Top Replied-To in Entire Graph:
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 Mentioned in G10:
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:
Top Tweeters in G10: