The graph represents a network of 2,553 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 Sunday, 15 September 2019 at 10:49 UTC.
The requested start date was Sunday, 15 September 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 6-day, 17-hour, 55-minute period from Sunday, 08 September 2019 at 06:00 UTC to Saturday, 14 September 2019 at 23:56 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 : 2553
Unique Edges : 5483
Edges With Duplicates : 4365
Total Edges : 9848
Number of Edge Types : 3
Mentions : 9009
Tweet : 806
Replies to : 33
Self-Loops : 806
Reciprocated Vertex Pair Ratio : 0.0288124801018784
Reciprocated Edge Ratio : 0.0560111403373047
Connected Components : 170
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 2218
Maximum Edges in a Connected Component : 9415
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.353114
Graph Density : 0.000991979440255302
Modularity : 0.426355
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1085] gt,gt [622] #fintech,#finserv [596] ty,wef [518] wef,enricomolinari [262] financial,services [244] #banking,#finserv [240] mikequindazzi,gt [217] #fintech,#banking [211] #finserv,#banking [183] #vc,#fintech Top Word Pairs in Tweet in G1:
[520] ty,wef [468] wef,enricomolinari [143] gt,gt [106] #fintech,#finserv [89] enricomolinari,#innovation [89] #innovation,#digital [84] enricomolinari,#5g [82] #southkorea,lauching [82] lauching,10 [82] 10,gigabit Top Word Pairs in Tweet in G2:
[550] gt,gt [369] #fintech,#finserv [198] #banking,#finserv [185] #fintech,#banking [165] #vc,#fintech [147] #banking,#fintech [130] #finserv,#banking [127] mikequindazzi,gt [113] #finserv,https [109] #finserv,#cryptocurrency Top Word Pairs in Tweet in G3:
[169] gt,gt [45] #iot,#internetofthings [43] #fintech,glossary [43] glossary,#infographics [43] #infographics,marketdataapis [43] #api,#cloud [43] #cloud,#cryptocurrency [43] #cryptocurrency,#iot [42] marketdataapis,#api [38] mikequindazzi,gt Top Word Pairs in Tweet in G4:
[178] gt,gt [121] financial,services [116] open,banking [74] link,gt [61] banking,financial [61] services,deploying [61] deploying,smart [61] smart,contracts [61] contracts,managing [61] managing,standard Top Word Pairs in Tweet in G5:
[27] start,up [25] #lhoft,member [23] prior,start [23] up,stories [23] stories,round [23] round,3 [23] 3,tuesday [23] tuesday,17th [20] award,#regtech [19] 17th,september Top Word Pairs in Tweet in G6:
[28] #fintech,#finserv [17] #finserv,customers [16] #contactcenter,interactions [16] interactions,represent [16] represent,nearly [16] nearly,30 [16] 30,encounters [16] encounters,#finserv [16] customers,here's [16] here's,drive Top Word Pairs in Tweet in G7:
[23] #fintech,#finserv [10] gt,gt [10] #finserv,#banking [7] guest,blogger [7] blogger,dick [7] dick,bucci [7] bucci,tells [7] tells,tale [7] tale,#voicebiometrics [7] #banking,#fintech Top Word Pairs in Tweet in G8:
[10] #machinelearning,applications [10] applications,industries [10] industries,#retail [10] #retail,#healthcare [10] #healthcare,#smartcity [10] #smartcity,#finserv [10] #finserv,#industry40 [10] #industry40,#digitization [6] #digitization,#ai [6] use,#ai Top Word Pairs in Tweet in G9:
[17] gt,gt [12] #finserv,industry [12] industry,focusing [12] focusing,tech [12] tech,investments [12] investments,hear [12] hear,leaders [12] leaders,organizations [12] organizations,such [12] such,accenture Top Word Pairs in Tweet in G10:
[16] question,#banks [16] #banks,#creditunions [16] #creditunions,#finserv [16] #finserv,companies [16] companies,top [16] top,#tech [16] #tech,priority [16] priority,going [16] going,2020 [15] biztechmagazine,question Top Replied-To in Entire Graph:
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Top Tweeters in Entire Graph:
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