#MobileChat, Twitter, 7/11/2020 5:09:16 AM, 230490


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#MobileChat_2020-07-10_22-00-48.xlsx
#MobileChat_2020-07-10_22-00-48.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 11, 2020
Short Description:
#MobileChat via NodeXL https://bit.ly/2BSBJZU
@genzicu
@janettespeyer
@tporter2
@cint
@susanhash
@paulstockford
@bekiweki
@joebugbuster
@iamanonyms
@iotworlds

Top hashtags:
#mobilechat
#genz
#custserv
#cx
#contactcenter
#technologies
#nostalgiachat
#cctr
#millennial

Description:
Description
The graph represents a network of 15 Twitter users whose tweets in the requested range contained "#MobileChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 11 July 2020 at 05:00 UTC.

The requested start date was Saturday, 11 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.

The tweets in the network were tweeted over the 52-day, 21-hour, 37-minute period from Thursday, 09 April 2020 at 01:55 UTC to Sunday, 31 May 2020 at 23:32 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


Overall Graph Metrics
Vertices : 15
Unique Edges : 11
Edges With Duplicates : 8
Total Edges : 19
Number of Edge Types : 5
MentionsInRetweet : 4
Replies to : 1
Retweet : 3
Mentions : 8
Tweet : 3
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 5
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 6
Maximum Edges in a Connected Component : 6
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.114754
Graph Density : 0.0571428571428571
Modularity : 0.558864
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 15 Twitter users whose tweets in the requested range contained "#MobileChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 11 July 2020 at 05:00 UTC.

The requested start date was Saturday, 11 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.

The tweets in the network were tweeted over the 52-day, 21-hour, 37-minute period from Thursday, 09 April 2020 at 01:55 UTC to Sunday, 31 May 2020 at 23:32 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 : #MobileChat
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[2] https://blog.contactcenterpipeline.com/2019/07/cx-versus-gx-when-worlds-collide/
[1] https://twitter.com/i/web/status/1248066867748573187
[1] https://paper.li/GenZicu/1530310189?edition_id=01691cf0-9ed5-11ea-97da-002590a5ba2d
[1] https://paper.li/GenZicu/1530310189?edition_id=64be73d0-7aaf-11ea-a09e-002590a5ba2d
[1] https://upfrontdates.live/
[1] https://apps.apple.com/us/app/upfront-live/id1487796361?ls=1
[1] https://play.google.com/store/apps/details?id=com.app.upfrontdates&hl=en

Top URLs in Tweet in G1:
[1] https://paper.li/GenZicu/1530310189?edition_id=01691cf0-9ed5-11ea-97da-002590a5ba2d
[1] https://paper.li/GenZicu/1530310189?edition_id=64be73d0-7aaf-11ea-a09e-002590a5ba2d

Top URLs in Tweet in G3:
[2] https://blog.contactcenterpipeline.com/2019/07/cx-versus-gx-when-worlds-collide/
[1] https://twitter.com/i/web/status/1248066867748573187

Top URLs in Tweet in G5:
[1] https://upfrontdates.live/
[1] https://apps.apple.com/us/app/upfront-live/id1487796361?ls=1
[1] https://play.google.com/store/apps/details?id=com.app.upfrontdates&hl=en

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[8] mobilechat
[4] genz
[4] custserv
[3] cx
[3] contactcenter
[3] technologies
[2] nostalgiachat
[2] cctr
[2] millennial
[2] custexp



Top Hashtags in Tweet in G1:
[2] genz
[2] mobilechat
[2] custserv

Top Hashtags in Tweet in G2:
[2] mobilechat
[2] nostalgiachat

Top Hashtags in Tweet in G3:
[3] cx
[3] contactcenter
[3] technologies
[2] cctr
[2] millennial
[2] genz
[2] custserv
[2] custexp
[2] selfservice
[2] ivr

Top Hashtags in Tweet in G4:
[2] iot
[1] mobilechat

Top Hashtags in Tweet in G5:
[1] androidapp
[1] android
[1] application
[1] mobileapp
[1] mobilechat
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[8] #mobilechat
[4] #genz
[4] #custserv
[4] download
[3] generational
[3] expectations
[3] #cx
[3] disrupt
[3] traditional
[3] #contactcenter

Top Words in Tweet in G1:
[2] generation
[2] #genz
[2] insights
[2] thanks
[2] #mobilechat
[2] #custserv

Top Words in Tweet in G2:
[2] joebugbuster
[2] a3
[2] think
[2] joe
[2] met
[2] #mobilechat
[2] bekiweki
[2] mentioned
[2] #nostalgiachat

Top Words in Tweet in G3:
[3] generational
[3] expectations
[3] #cx
[3] disrupt
[3] traditional
[3] #contactcenter
[3] #technologies
[3] practices
[3] industry
[2] analyst

Top Words in Tweet in G4:
[2] q7
[2] already
[2] interact
[2] physcial
[2] digital
[2] largely
[2] screen
[2] literally
[2] working
[2] box

Top Words in Tweet in G5:
[4] download
[2] upfront
[2] mobile
[2] app
[2] chat
[2] video
[2] make
[2] good
[2] memories
[2] friend

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[3] generational,expectations
[3] expectations,#cx
[3] #cx,disrupt
[3] disrupt,traditional
[3] traditional,#contactcenter
[3] #contactcenter,#technologies
[3] #technologies,practices
[3] practices,industry
[2] joebugbuster,a3
[2] a3,think

Top Word Pairs in Tweet in G1:
[2] generation,#genz
[2] #genz,insights
[2] insights,thanks
[2] #mobilechat,#custserv

Top Word Pairs in Tweet in G2:
[2] joebugbuster,a3
[2] a3,think
[2] think,joe
[2] joe,met
[2] met,#mobilechat
[2] #mobilechat,bekiweki
[2] bekiweki,mentioned
[2] mentioned,#nostalgiachat

Top Word Pairs in Tweet in G3:
[3] generational,expectations
[3] expectations,#cx
[3] #cx,disrupt
[3] disrupt,traditional
[3] traditional,#contactcenter
[3] #contactcenter,#technologies
[3] #technologies,practices
[3] practices,industry
[2] industry,analyst
[2] analyst,paulstockford

Top Word Pairs in Tweet in G4:
[2] q7,already
[2] already,interact
[2] interact,physcial
[2] physcial,digital
[2] digital,largely
[2] largely,screen
[2] screen,literally
[2] literally,working
[2] working,box
[2] box,#iot

Top Word Pairs in Tweet in G5:
[2] download,upfront
[2] upfront,mobile
[2] mobile,app
[2] app,chat
[2] chat,video
[2] video,make
[2] make,good
[2] good,memories
[2] memories,friend
[2] friend,click

Top Replied-To
Top Replied-To in Entire Graph:
@joebugbuster

Top Replied-To in G2:
@joebugbuster

Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@bekiweki
@joebugbuster
@janettespeyer
@tporter2
@iotworlds
@cekent
@cint
@susanhash
@metiscomm
@adingo

Top Tweeters in G1:
@cekent
@cint
@metiscomm
@adingo
@deathtobaizuo
@genzicu

Top Tweeters in G2:
@bekiweki
@joebugbuster
@janettespeyer
@tporter2

Top Tweeters in G3:
@susanhash
@paulstockford

Top Tweeters in G4:
@iotworlds
@alexfrommeyer

Top Tweeters in G5:
@iamanonyms