The graph represents a network of 2,079 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 16 April 2019 at 10:34 UTC.
The requested start date was Sunday, 14 April 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 8-day, 7-hour, 58-minute period from Friday, 05 April 2019 at 16:01 UTC to Saturday, 13 April 2019 at 23:59 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 : 2079
Unique Edges : 4037
Edges With Duplicates : 3904
Total Edges : 7941
Number of Edge Types : 3
Mentions : 6352
Tweet : 1568
Replies to : 21
Self-Loops : 1568
Reciprocated Vertex Pair Ratio : 0.0274500907441016
Reciprocated Edge Ratio : 0.0534334290130272
Connected Components : 225
Single-Vertex Connected Components : 142
Maximum Vertices in a Connected Component : 1658
Maximum Edges in a Connected Component : 7241
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.681291
Graph Density : 0.00104834031686775
Modularity : 0.410303
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[819] #fintech,#finserv [681] big,data [654] gt,gt [634] read,more [573] more,here [395] #banking,#fintech [321] #fintech,#banking [310] #banking,#finserv [283] #vc,#fintech [252] here,#bigdata Top Word Pairs in Tweet in G1:
[397] #fintech,#finserv [300] #banking,#fintech [146] #finserv,https [142] https,t [135] t,co [101] financial,institutions [76] #finserv,#banking [74] interview,cfte_edu [74] cfte_edu,financial [74] institutions,prepared Top Word Pairs in Tweet in G2:
[534] gt,gt [240] big,data [239] read,more [196] more,here [195] #fintech,#finserv [139] link,gt [106] mikequindazzi,gt [85] gt,#pwc [84] #pwc,mikequindazzi [83] #finserv,#banking Top Word Pairs in Tweet in G3:
[30] #fintech,#finserv [30] gt,gt [14] s,up [14] up,#kiksession [14] #titworship,#footfetish [14] #footfetish,#humiliation [14] #humiliation,#walletdrain [14] #bank,#finserv [13] #banking,#fintech [11] #finserv,providers Top Word Pairs in Tweet in G4:
[28] apply,now [27] now,read [27] read,conversation [26] co,founder [25] the_lhoft,apply [24] the_lhoft,#lhoft [23] conversation,mrosskane [23] mrosskane,co [23] founder,hydrogenapi [23] hydrogenapi,took Top Word Pairs in Tweet in G5:
[403] big,data [364] read,more [358] more,here [175] here,#bigdata [121] #bigdata,#datascience [104] #machinelearning,#deeplearning [103] #datascience,#machinelearning [103] #deeplearning,#nlp [103] #nlp,#robots [103] #robots,#ai Top Word Pairs in Tweet in G6:
[209] #fintech,#banking [205] #banking,#finserv [204] #vc,#fintech [185] #finserv,#cryptocurrency [149] #cryptocurrency,#finance [100] #finance,#banks [68] #banks,#blockchain [38] #blockchain,#regtech [36] #fintech,#finserv [23] #cryptocurrency,# Top Word Pairs in Tweet in G7:
[21] #fintech,#finserv [14] #finserv,#banking [14] big,data [13] #finserv,#ai [12] gt,gt [11] #finserv,#cx [10] aravo,#thirdpartyrisk [10] many,faces [10] faces,#fintech [10] #fintech,#demystifying Top Word Pairs in Tweet in G8:
[12] #wealthmanagement,#finserv [8] big,data [6] #ria,#rias [6] #wealthmanagement,#ria [5] read,more [5] #rias,#finserv [5] jpm's,apoorv [5] apoorv,saxena [5] saxena,discusses [5] discusses,ai Top Word Pairs in Tweet in G9:
[20] increased,customer [20] customer,satisfaction [20] satisfaction,world [20] world,class [20] class,experiences [20] experiences,fast [20] #finserv,customers [17] drive,increased [17] fast,hear [17] hear,#finserv Top Word Pairs in Tweet in G10:
[38] #fintech,#finserv [21] #finserv,#fintech [18] #advisors,#finserv [17] reading,jpnicols [17] jpnicols,newsfeed [17] newsfeed,#innovation [17] #innovation,#strategy [17] #strategy,#leadership [17] #leadership,#fintech [12] finextra,#fintech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: