The graph represents a network of 2,415 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 Monday, 25 November 2019 at 20:47 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 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 5-day, 5-hour, 17-minute period from Tuesday, 19 November 2019 at 19:43 UTC to Monday, 25 November 2019 at 01:01 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 : 2415
Unique Edges : 5832
Edges With Duplicates : 4843
Total Edges : 10675
Number of Edge Types : 3
Mentions : 10038
Tweet : 554
Replies to : 83
Self-Loops : 554
Reciprocated Vertex Pair Ratio : 0.0367450163641773
Reciprocated Edge Ratio : 0.0708853494045057
Connected Components : 122
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 2190
Maximum Edges in a Connected Component : 10407
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.352837
Graph Density : 0.00119540774056101
Modularity : 0.408523
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,415 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 Monday, 25 November 2019 at 20:47 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 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 5-day, 5-hour, 17-minute period from Tuesday, 19 November 2019 at 19:43 UTC to Monday, 25 November 2019 at 01:01 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 : GraphServerTwitterSearch
Graph Term : #FinServ
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:
[963] gt,gt [848] #fintech,#finserv [327] financial,services [324] #banking,#finserv [288] #fintech,#banking [242] #vc,#fintech [220] #mpgvip,#defstar5 [211] #finserv,#fintech [198] #banking,#fintech [183] #finserv,#cryptocurrency Top Word Pairs in Tweet in G1:
[485] #fintech,#finserv [242] #banking,#finserv [231] #fintech,#banking [206] #vc,#fintech [156] #finserv,co [156] #finserv,#cryptocurrency [150] #banking,#fintech [148] gt,gt [143] #finserv,#banking [128] #cryptocurrency,#finance Top Word Pairs in Tweet in G2:
[115] alibabagroup,founder [115] founder,jack [115] jack,ma's [115] ma's,advice [115] advice,college [115] college,graduates [115] graduates,ty [115] ty,tictoc [115] tictoc,enricomolinari [114] enricomolinari,#futureofwork Top Word Pairs in Tweet in G3:
[725] gt,gt [132] financial,services [130] mikequindazzi,gt [130] #fintech,#finserv [106] ty,pypestream [106] pypestream,enricomolinari [102] gt,#pwc [94] #finserv,#fintech [92] #pwc,mikequindazzi [88] enricomolinari,#ai Top Word Pairs in Tweet in G4:
[192] #mpgvip,#defstar5 [158] history,#internet [158] #internet,#infographic [158] #infographic,#digitalmarketing [158] #digitalmarketing,#growthhacking [158] #growthhacking,#startups [158] #startups,#mpgvip [158] #defstar5,#makeyourownlane [158] #makeyourownlane,#seo [79] clark_robotics,history Top Word Pairs in Tweet in G5:
[23] #fintech,#finserv [13] #banking,#fintech [10] over,past [10] past,decade [10] decade,#finserv [10] #finserv,transformed [10] transformed,faster [10] faster,predicted [10] predicted,never [10] never,before Top Word Pairs in Tweet in G6:
[19] #fintech,#finserv [18] gt,gt [8] financial,services [5] #finserv,#fintech [4] more,#finserv [3] future,right [3] right,expertise [3] expertise,insurance [3] insurance,coverage [3] coverage,chatbots Top Word Pairs in Tweet in G7:
[31] nodexl,nodexl [29] bristowcolin,insurtechforum [23] mihkal,nodexl [23] nodexl,vivianfrancos [23] vivianfrancos,fmfrancoise [22] nodexl,mihkal [22] fmfrancoise,chidambara09 [22] chidambara09,smr_foundation [20] #finserv,#ai [15] #fintech,#finserv Top Word Pairs in Tweet in G8:
[69] ai,transformation [69] transformation,financial [69] financial,markets [69] markets,reaches [69] reaches,areas [69] areas,including [69] including,operations [69] operations,hr [69] hr,cybersecurity [69] cybersecurity,regulation Top Word Pairs in Tweet in G9:
[20] hsbc,builds [20] builds,bank [20] bank,future [20] future,reduces [20] reduces,app [20] app,development [20] development,75 [20] 75,mulesoft [20] mulesoft,#apis [20] #apis,#digitaltransformation Top Word Pairs in Tweet in G10:
[10] biztechmagazine,#financialservices [7] ralexjimenez,platform [7] platform,fintechs [7] fintechs,coming [7] coming,startups [7] startups,respond [7] respond,forbes [7] forbes,#platformification [7] #platformification,#f [7] #finserv,#banking Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: