The graph represents a network of 1,391 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 Tuesday, 29 October 2019 at 01:53 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 28-minute period from Sunday, 20 October 2019 at 05:19 UTC to Tuesday, 29 October 2019 at 01:48 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 : 1391
Unique Edges : 2834
Edges With Duplicates : 1069
Total Edges : 3903
Self-Loops : 203
Reciprocated Vertex Pair Ratio : 0.0247879973907371
Reciprocated Edge Ratio : 0.0483768300445576
Connected Components : 94
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 1212
Maximum Edges in a Connected Component : 3685
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.477519
Graph Density : 0.00162504072945813
Modularity : 0.606442
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,391 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 Tuesday, 29 October 2019 at 01:53 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 28-minute period from Sunday, 20 October 2019 at 05:19 UTC to Tuesday, 29 October 2019 at 01:48 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:
[364] san,francisco [291] blockchain,week [266] sf,blockchain [197] during,#sfbw19 [188] oct,31 [179] #sfbw19,attendees [171] francisco,ca [170] industry,experts [164] relax,eat [164] network,industry Top Word Pairs in Tweet in G1:
[130] sf,blockchain [99] blockchain,week [58] check,out [56] 11,1 [51] value,gifts [51] gifts,prizes [50] live,stream [49] https,t [49] t,co [49] sfbwofficial,#sfbw19 Top Word Pairs in Tweet in G2:
[113] one,anticipated [112] #sfbw19,excited [112] excited,host [112] host,hashkeygroup [112] influential,blockchain [112] blockchain,funds [112] funds,1st [112] 1st,corporate [112] corporate,investor [111] investor,#ethereum Top Word Pairs in Tweet in G3:
[152] san,francisco [152] francisco,ca [149] relax,eat [149] network,industry [149] industry,experts [135] #sfbw19,attendees [135] oct,31 [134] #tron,food [134] food,truck [134] truck,serving Top Word Pairs in Tweet in G4:
[69] workshop,#sfbw19 [69] #sfbw19,oct [57] miss,_emschwartz [57] _emschwartz,cross [57] cross,chain [57] chain,payments [57] payments,interledger [57] interledger,workshop [57] oct,31st [57] 31st,3 Top Word Pairs in Tweet in G5:
[24] blockchain,week [21] sf,blockchain [19] saints,sinners [18] #sfbw19,sfbwofficial [13] #facebook,#sfbw19 [12] btc,eth [12] co,founder [11] #ethereum,#news [11] coo,co [11] founder,perelmanor Top Word Pairs in Tweet in G6:
[69] https,t [69] t,co [23] 1,3 [19] #sfbw19,cosmos [18] cosmos,#sfbw19 [18] sarenspeaks,https [18] stakingeconomy,#28 [18] chorusone,https [16] #28,chorusone [15] 3,today Top Word Pairs in Tweet in G7:
[19] blockchain,week [17] sf,blockchain [15] week,officially [14] san,francisco [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:
[28] career,fair [25] blockchain,week [24] during,#sfbw19 [20] 30th,epicenter [15] sf,blockchain [15] 31th,1st [13] fair,30th [11] san,francisco [10] #sfbw19,#zksnarks [10] fair,ucberkeley Top Word Pairs in Tweet in G9:
[14] san,francisco [10] #defi,drinks [10] drinks,time [10] time,san [10] francisco,aaveaave [10] aaveaave,setprotocol [10] setprotocol,maticnetwork [10] maticnetwork,dydxprotocol [10] dydxprotocol,elrondnetwork [10] elrondnetwork,cerenetwork Top Word Pairs in Tweet in G10:
[9] blockchain,week [7] dystopialabs,meetup [6] sf,blockchain [6] burner,wallet [4] san,francisco [4] here,#sfbw19 [4] 127,registrants [4] registrants,counting [4] counting,#sfbw19 [4] #sfbw19,make 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 G4:
Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: