The graph represents a network of 1,476 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 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 06:01 UTC.
The tweets in the network were tweeted over the 2371-day, 4-hour, 54-minute period from Monday, 11 July 2016 at 12:30 UTC to Saturday, 07 January 2023 at 17:24 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 : 1476
Unique Edges : 1879
Edges With Duplicates : 12442
Total Edges : 14321
Number of Edge Types : 8
Retweet : 3143
MentionsInRetweet : 6298
Mentions : 3154
Tweet : 757
Quote : 170
MentionsInQuote : 188
MentionsInReplyTo : 378
Replies to : 233
Self-Loops : 1363
Reciprocated Vertex Pair Ratio : 0.110002696144513
Reciprocated Edge Ratio : 0.198202574690308
Connected Components : 53
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 1400
Maximum Edges in a Connected Component : 14204
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.21364
Graph Density : 0.00189104772403656
Modularity : 0.175709
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,476 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 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 06:01 UTC.
The tweets in the network were tweeted over the 2371-day, 4-hour, 54-minute period from Monday, 11 July 2016 at 12:30 UTC to Saturday, 07 January 2023 at 17:24 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:
[1260] social,media [453] #smsociety,nodexl [413] nodexl,socmediaconf [296] media,society [232] international,conference [220] #smsociety,2020 [215] conference,social [207] top,hashtags [207] #smsociety,conference [203] hashtags,#smsociety Top Word Pairs in Tweet in G1:
[271] social,media [109] media,society [79] special,issue [68] socmediaconf,#smsociety [66] international,conference [66] conference,social [60] #smsociety,2020 [51] pleased,announce [50] call,papers [44] issue,social Top Word Pairs in Tweet in G2:
[396] #smsociety,nodexl [370] nodexl,socmediaconf [248] social,media [181] top,hashtags [176] hashtags,#smsociety [158] socmediaconf,smlabto [155] docassar,#smsociety [108] #metoo,#newpaper [98] #featuredpanel,#socialmedia [98] #socialmedia,#metoo Top Word Pairs in Tweet in G3:
[490] social,media [71] media,society [69] #smsociety,conference [68] valerie,steeves [61] looking,forward [60] international,conference [57] #smsociety,2020 [55] conference,social [51] 2019,#smsociety [48] #smsociety,nodexl Top Word Pairs in Tweet in G4:
[49] #metoo,daily [49] #metoo,#smsociety [49] latest,#metoo [48] daily,thanks [2] themagawatch,#metoo [2] thanks,meganfoxwriter Top Word Pairs in Tweet in G5:
[94] social,media [37] international,conference [29] media,society [28] conference,social [20] 2022,international [19] research,tools [18] list,50 [18] #smsociety,2020 [18] 50,research [18] curated,list Top Word Pairs in Tweet in G6:
[55] social,media [31] postdoctoral,researcher [30] information,campaigns [30] hiring,postdoctoral [30] dis,mis [30] study,dis [30] mis,information [26] campaigns,scale [25] researcher,study [24] #smsociety,2020 Top Word Pairs in Tweet in G7:
[58] social,media [20] media,research [18] twitter,data [17] using,twitter [17] source,overview [17] data,source [16] #smsociety,conference [15] overview,social [15] research,tools [14] media,society Top Word Pairs in Tweet in G8:
[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 G9:
[4] upcoming,#smsociety [4] fnalhayan,paper [4] congratulations,infogamerist [4] paper,upcoming [4] infogamerist,phd [4] student,fnalhayan [4] 2020,conference [4] #smsociety,2020 [4] phd,student [3] full,report Top Word Pairs in Tweet in G10:
[5] bod0ng,choux [5] special,section [4] tues,sept [4] excited,bod0ng [4] #networks,#learninganalytics [4] webinar,effectively [4] very,excited [4] hecking,editing [4] conversations,tues [4] effectively,analyze Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: