The graph represents a network of 1,807 Twitter users whose recent tweets contained "#SMSociety", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 06:15 UTC.
The tweets in the network were tweeted over the 2407-day, 10-hour, 24-minute period from Monday, 11 July 2016 at 12:30 UTC to Sunday, 12 February 2023 at 22:54 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1807
Unique Edges : 1724
Edges With Duplicates : 12403
Total Edges : 14127
Number of Edge Types : 8
Retweet : 3226
MentionsInRetweet : 6255
Quote : 155
Tweet : 714
Mentions : 3051
MentionsInReplyTo : 335
Replies to : 212
MentionsInQuote : 179
Self-Loops : 1289
Reciprocated Vertex Pair Ratio : 0.0963980305778699
Reciprocated Edge Ratio : 0.175844953911605
Connected Components : 48
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 1743
Maximum Edges in a Connected Component : 14033
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.121788
Graph Density : 0.00129648389645043
Modularity : 0.194655
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,807 Twitter users whose recent tweets contained "#SMSociety", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/14/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 15 February 2023 at 06:15 UTC.
The tweets in the network were tweeted over the 2407-day, 10-hour, 24-minute period from Monday, 11 July 2016 at 12:30 UTC to Sunday, 12 February 2023 at 22:54 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1473] social,media [614] media,research [520] research,community [487] news,social [486] community,twitter [485] end,very [485] 'll,charging [485] very,sad [485] sad,news [485] twitter,'ll Top Word Pairs in Tweet in G1:
[494] social,media [476] research,community [468] media,research [466] community,twitter [466] truely,end [466] twitter,'ll [466] 'll,charging [466] sad,news [466] very,sad [466] end,very Top Word Pairs in Tweet in G2:
[341] social,media [121] #smsociety,2020 [101] media,society [88] international,conference [84] socmediaconf,#smsociety [84] conference,social [73] #smsociety,conference [72] diverse,voices [70] #smsociety,2022 [65] promises,perils Top Word Pairs in Tweet in G3:
[405] social,media [57] valerie,steeves [57] #smsociety,2020 [55] #smsociety,conference [44] media,society [43] looking,forward [43] content,moderation [41] steeves,#smsociety [37] socmediaconf,#smsociety [33] #smsociety,#featuredpanel Top Word Pairs in Tweet in G4:
[390] #smsociety,nodexl [363] nodexl,socmediaconf [184] top,hashtags [178] hashtags,#smsociety [153] socmediaconf,smlabto [152] docassar,#smsociety [129] social,media [108] #metoo,#newpaper [98] #featuredpanel,#socialmedia [98] #socialmedia,#metoo Top Word Pairs in Tweet in G5:
[49] #metoo,daily [49] #metoo,#smsociety [49] latest,#metoo [48] daily,thanks [2] thanks,meganfoxwriter [2] themagawatch,#metoo Top Word Pairs in Tweet in G6:
[17] #supermoto_id,#smsociety [17] #supermoto,#husqvarna [17] #motardmafia,#supermoto_id [17] #landcruiser,#motolovers [17] #fj40,#landcruiser [17] #motolovers,#motardmafia [17] #husqvarna,#fj40 [16] #smsociety,#supermotonation [16] #supermotonation,#supermotonation_id [13] #supermotonation_id,#motoloverz Top Word Pairs in Tweet in G7:
[19] excited,present [17] 33k,indian [16] youtube,presentation [16] community,youtube [16] 4k,politicians [16] politicians,research [16] present,dataset [16] dataset,33k [16] research,community [16] indian,4k Top Word Pairs in Tweet in G8:
[7] retractions,citations [7] science,retractions [7] media,coverage [7] science,misinformation [7] work,eleala [7] bad,science [7] eleala,science [7] important,work [7] citations,media [7] misinformation,bad Top Word Pairs in Tweet in G9:
[3] smlabto,help [2] socmediaconf,smlabto [2] help,#smsociety [2] connected,socmediaconf [2] know,anyone [2] anyone,connected Top Word Pairs in Tweet in G10:
[2] video,recordings [2] many,paper [2] amazing,#smsociety [2] recordings,many [2] 2022,conference [2] offers,video [2] conference,offers [2] full,papers [2] 2019,#smsociety [2] social,media Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G9:
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 G9:
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: