The graph represents a network of 2,357 Twitter users whose recent tweets contained "#SFBW19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 31 October 2019 at 17:27 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 10-minute period from Tuesday, 22 October 2019 at 17:08 UTC to Thursday, 31 October 2019 at 17:18 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 : 2357
Unique Edges : 6493
Edges With Duplicates : 3402
Total Edges : 9895
Self-Loops : 329
Reciprocated Vertex Pair Ratio : 0.03173311635476
Reciprocated Edge Ratio : 0.0615141955835962
Connected Components : 109
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 2153
Maximum Edges in a Connected Component : 9622
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.50729
Graph Density : 0.00137004753387842
Modularity : 0.53515
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,357 Twitter users whose recent tweets contained "#SFBW19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 31 October 2019 at 17:27 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 10-minute period from Tuesday, 22 October 2019 at 17:08 UTC to Thursday, 31 October 2019 at 17:18 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 : TwitterSearch
Graph Term : #SFBW19
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[629] san,francisco [429] blockchain,week [392] oct,31 [377] #sfbw19,attendees [358] sf,blockchain [336] marriott,marquis [318] francisco,ca [314] 780,mission [313] ca,94103 [312] industry,experts Top Word Pairs in Tweet in G1:
[155] blockchain,week [120] sf,blockchain [102] san,francisco [78] sfbwofficial,#sfbw19 [64] check,out [56] #sfbw19,sfbwofficial [51] https,t [51] t,co [49] until,sf [49] november,1st Top Word Pairs in Tweet in G2:
[152] during,#sfbw19 [121] san,francisco [116] layer,1 [115] excited,host [114] one,anticipated [113] #sfbw19,excited [113] host,hashkeygroup [113] influential,blockchain [113] blockchain,funds [113] funds,1st Top Word Pairs in Tweet in G3:
[143] workshop,#sfbw19 [143] #sfbw19,oct [122] learn,more [119] sign,up [97] cross,chain [97] chain,payments [88] payments,interledger [88] interledger,workshop [88] oct,31st [88] 31st,3 Top Word Pairs in Tweet in G4:
[282] san,francisco [280] francisco,ca [273] 780,mission [273] mission,street [273] street,san [273] ca,94103 [272] relax,eat [272] network,industry [272] industry,experts [268] free,tacos Top Word Pairs in Tweet in G5:
[173] iotex_io,harmonyprotocol [143] maticnetwork,iotex_io [141] harmonyprotocol,re [96] live,ama [96] dokiac,professional [96] professional,staking [96] staking,infrastructure [96] infrastructure,integration [96] ama,transcript [96] transcript,summary Top Word Pairs in Tweet in G6:
[108] https,t [108] t,co [53] value,gifts [53] gifts,prizes [51] sf,blockchain [46] live,streaming [45] exclusively,live [45] live,stream [45] stream,sf [45] blockchain,s Top Word Pairs in Tweet in G7:
[20] blockchain,week [17] sf,blockchain [15] san,francisco [14] week,officially [13] officially,started [11] cesc,sold [11] sold,out [11] out,still [11] still,few [11] few,tickets Top Word Pairs in Tweet in G8:
[35] hey,bay [35] bay,area [35] area,miss [35] miss,denelledixon [35] denelledixon,jedmccaleb [35] jedmccaleb,#sfbw19 [35] #sfbw19,speaking [35] speaking,#stellar [35] #stellar,friday [35] friday,november Top Word Pairs in Tweet in G9:
[9] kick,#sfbw19 [7] #facebook,#sfbw19 [7] #news,#zilliqa [7] #libra,#association [7] #defi,#libra [6] btc,eth [6] #binance,#usa [6] #bitcoin,#binance [6] #binance,#ripple [6] #sfbw19,#news Top Word Pairs in Tweet in G10:
[32] blockchain,week [29] sf,blockchain [24] join,dfinity [24] dfinity,team [24] week,event [24] learn,next [24] next,generation [24] generation,developers [24] developers,reinvent [24] reinvent,internet Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: