The document discusses how the NodeXL software can be used to analyze and visualize social media network data. It explains that social media networks have an underlying structure that NodeXL can reveal by creating network maps and calculating centrality measures. Examples of NodeXL network maps and measures are provided to illustrate how the structure of connections in social media data can be exposed.

1. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Char%ng collec%ons of
connec%ons in social media:
Crea%ng maps and measures with
NodeXL
Dr. Marc A. Smith
Social Media Research Founda%on

2. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
NewMR 2018 Sponsors
Pla8num
Gold
Silver
Communica8on

3. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
About Us

4. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
About Us

5. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
About Us

6. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
About Us

7. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
About Us

8. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
What does a hashtag look like?
What is an adequate visualiza8on
of social media?
#?

9. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Why draw the data?

10. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
1 2 3 4
x y x y x y x y
10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58
8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76
13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71
9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84
11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47
14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04
6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25
4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50
12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56
7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89
Anscombe’s Quartet, or,
Why InfoVis MaMers

11. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
1 2 3 4
x y x y x y x y
10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58
8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76
13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71
9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84
11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47
14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04
6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25
4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50
12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56
7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89
Property Value
Mean of x 9.0
Variance of x 11.0
Mean of y 7.5
Variance of y 4.12
Correla8on 0.816
Linear regression y = 3 + 0.5x
Anscombe’s Quartet, or,
Why InfoVis MaMers

12. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Anscombe’s Quartet, or,
Why InfoVis MaMers

13. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Crowds matter

14. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
hUp://www.flickr.com/photos/amycgx/3119640267/
Crowds in social media matter

15. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Crowds in social media have a hidden structure

16. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Twitter Network”
*BEFORE*

17. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Twitter Network
*AFTER*

18. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
hUps://demo-3dg-viz.herokuapp.com/

19. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

20. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Strong %es

21. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Weak %es

22. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
hUp://www.flickr.com/photos/fullaperture/81266869/
Strength of Weak %es

23. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
hUp://www.bonkersworld.net/organiza8onal-charts/

24. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
hUps://giphy.com/gifs/sa8sfying-starlings-murmura8on-
eZYz372UA5oeA

25. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
hUps://demo-3dg-viz.herokuapp.com/

26. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Social media
• is made of networks,
• created when people link and reply.
• Collec8ons of connec8ons have an emergent shape,
• some shapes are beUer than others!
• Some people, in strategic loca8ons in these shapes, are more influen8al than others!

27. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
What is different in a network view?
Volume
10
Structure

28. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Same number of people, different
structures
hUps://gfycat.com/gifs/detail/failingassuredazurewingedmagpie

29. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Legos! The number of bricks alone is not
enough to describe the object

30. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Kodak
Brownie
The first
easy to use
point and
shoot
camera

31. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

32. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

33. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

34. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Heather has high
betweenness
NodeXL
Network Overview Discovery and Explora%on add-in for Excel
A minimal network can
illustrate the ways different
loca8ons have different
values for centrality and
degree

35. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
NodeXL Ribbon in Excel

36. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
NodeXL Ribbon in Excel

37. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
NodeXL Ribbon in Excel

38. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
NodeXL in Excel

39. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

40. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

41. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

42. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

43. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

44. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
NodeXL
Social Media Network
Map & Report
for
#newmr
from
NodeXL Graph Server Twi=er
Search Network
for
5/11/2018
Created with NodeXL from the |
Social Media Research Founda8on (hUp://
www.smrfounda8on.org)

45. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network

46. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network

47. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
The graph represents a network of 1,292 Twitter users whose tweets in the requested range
contained "#newmr", or who were replied to or mentioned in those tweets. The network was
obtained from the NodeXL Graph Server on Friday, 11 May 2018 at 15:22 UTC.
The requested start date was Friday, 11 May 2018 at 08:09 UTC and the maximum number of tweets
(going backward in time) was 10,000.
The tweets in the network were tweeted over the 70-day, 13-hour, 26-minute period from Thursday,
01 March 2018 at 07:08 UTC to Thursday, 10 May 2018 at 20:35 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.

48. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Ver%ces : 1302
Unique Edges : 2488
Edges With Duplicates : 7146
Total Edges : 9634
Number of Edge Types : 3
Men%ons : 5140
Tweet : 4444
Replies to : 50
Self-Loops : 4444
Reciprocated Vertex Pair Ra%o : 0.0739339752407153
Reciprocated Edge Ra%o : 0.137688120397054
Connected Components : 67
Single-Vertex Connected Components : 45
Maximum Ver%ces in a Connected Component : 1170
Maximum Edges in a Connected Component : 7944
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.725543
Graph Density : 0.0018436721841051
Modularity : 0.232747
NodeXL Version : 1.0.1.396

49. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
esomar
Tweet Follow
vormresearch
Tweet Follow
raypoynter
Tweet Follow
voxpopme
Tweet Follow
jake_pryszlak
Tweet Follow
insightplkrms
Tweet Follow
greenbook
Tweet Follow
lovestats
Tweet Follow
newmr_news
Tweet Follow
merlien
Tweet Follow

50. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Top URLs in Tweet in En8re Graph:
[78] hUps://www.esomar.org/events/2018/la8n-america-2018/la8n-america-2018-tv?
utm_source=twiUer&utm_medium=post&utm_content=sm-
push&utm_campaign=esomar-tv
[45] hUps://aytm.com/r1c93bb?pid=GBTwiUer
[40] hUps://lovestats.wordpress.com/2018/03/08/happy-interna8onal-womens-day-lets-meet-
some-mrx-women-who-are-flying-under-the-radar-iwd-wire-newmr-wireheroes/
[24] hUps://www.esomar.org/events/2018/asia-pacific-2018/asia-pacific-2018-tv?
utm_source=twiUer&utm_medium=post&utm_content=sm-
push&utm_campaign=esomar-tv
[23] hUp://researchgeek.co.uk/how-to-develop-a-customer-centric-proposi8on-with-a-liUle-
help-from-sainsburys/
[20] hUp://newmr.org/events/2018/the-future-of-data-collec8on/
[19] hUp://researchgeek.co.uk/how-to-create-a-strong-personal-brand-that-gets-results/
[16] hUps://rwconnect.esomar.org/selfie-culture-and-its-impact-on-beauty-brands-in-asia/
[16] hUps://rwconnect.esomar.org/dont-back-down-the-future-of-researchmedia-adver8sing-
part-1/
[15] hUps://www.esomar.org/events/2018/la8n-america-2018/la8n-america-2018-tv
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network

51. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Top Domains in Tweet in En8re Graph:
[1329] dg-di.org
[808] puredata.eu
[465] dg-di.co
[377] esomar.org
[296] twiUer.com
[224] dg-di.eu
[170] dg-di.us
[148] newmr.org
[97] co.uk
[75] insites-consul8ng.com

52. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Top Hashtags in Tweet in En8re Graph:
[6199] newmr
[5181] mrx
[1181] roi
[939] profit
[859] market
[852] marketresearch
[655] world
[562] consump8on
[520] esomar
[511] marketrisk

53. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Top Words in Tweet in En8re Graph:
[4058] Words in Sen8ment List#1: Posi8ve
[4221] Words in Sen8ment List#2: Nega8ve
[0] Words in Sen8ment List#3: Angry/Violent
[124269] Non-categorized Words
[132548] Total Words
[6200] newmr
[5187] mrx
[3013] 2018
[2986] profit
[1673] mar

54. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Top Word Pairs in Tweet in En8re Graph:
[2751] 2018,profit
[2274] newmr,mrx
[1906] mrx,newmr
[1594] mar,2018
[895] profit,newmr
[792] newmr,roi
[708] apr,2018
[471] roi,marketrisk
[465] world,newmr
[447] demand,newmr

55. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
insites
Tweet Follow
ipsos
Tweet Follow
the_arf
Tweet Follow
newmr_news
Tweet Follow
prsinvivo
Tweet Follow
visioncri8cal
Tweet Follow
_flexmr
Tweet Follow
beckykinnersley
Tweet Follow
miriammogge
Tweet Follow
ksol8sanderson
Tweet Follow

56. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
esomar
Tweet Follow
newmr_news
Tweet Follow
raypoynter
Tweet Follow
greenbook
Tweet Follow
1sue3
Tweet Follow
finn01
Tweet Follow
lovestats
Tweet Follow
insites
Tweet Follow
voxpopme
Tweet Follow
womeninresearch
Tweet Follow

57. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
arkangelscrap
Tweet Follow
auldcove
Tweet Follow
nosqldigest
Tweet Follow
piyuanker12
Tweet Follow
sectest9
Tweet Follow
startupreal8me
Tweet Follow
alevergara78
Tweet Follow
independent
Tweet Follow
sainsburys
Tweet Follow
bohemiantrading
Tweet Follow

58. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network

59. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
NodeXL
Social Media Network
Map & Report
for
ESOMAR
from
NodeXL Graph Server Twi=er
Search Network
for
5/14/2018

60. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network

61. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network

62. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
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.

63. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author
Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network

64. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Ver%ces : 1244
Unique Edges : 2765
Edges With Duplicates : 6148
Total Edges : 8913
Number of Edge Types : 3
Replies to : 309
Men%ons : 7930
Tweet : 674
Self-Loops : 674
Reciprocated Vertex Pair Ra%o : 0.110883557636044
Reciprocated Edge Ra%o : 0.199631287858836
Connected Components : 74
Single-Vertex Connected Components : 49
Maximum Ver%ces in a Connected Component : 1107
Maximum Edges in a Connected Component : 8603
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.982437
Graph Density : 0.00245555173279044
Modularity : 0.266403
NodeXL Version : 1.0.1.396

65. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
esomar
Tweet Follow
alfonews
Tweet Follow
finn01
Tweet Follow
ipsosmori
Tweet Follow
jbretcha
Tweet Follow
deezdata
Tweet Follow
vormresearch
Tweet Follow
lovestats
Tweet Follow
labright_mex
Tweet Follow
printempsetudes
Tweet Follow

66. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Top URLs in Tweet in En8re Graph:
[82] hUps://www.esomar.org/events/2018/la8n-america-2018/la8n-america-2018-tv?
utm_source=twiUer&utm_medium=post&utm_content=sm-push&utm_campaign=esomar-
tv
[49] hUps://www.esomar.org/events/2018/asia-pacific-2018/asia-pacific-2018-tv?
utm_source=twiUer&utm_medium=post&utm_content=sm-push&utm_campaign=esomar-
tv
[33] hUps://rwconnect.esomar.org/how-esomar-can-help-with-your-data-protec8on-officer/?
utm_source=dlvr.it&utm_medium=twiUer
[29] hUps://rwconnect.esomar.org/dont-back-down-the-future-of-researchmedia-adver8sing-
part-1/
[26] hUps://rwconnect.esomar.org/how-social-media-is-shaping-how-we-understand-people/
[25] hUps://rwconnect.esomar.org/co-crea8on-the-future-for-brands-part-1/
[24] hUps://www.esomar.org/events/2018/la8n-america-2018/la8n-america-2018-tv
[23] hUps://www.esomar.org/events/2018/la8n-america-2018/la8n-america-2018-highlights?
utm_source=twiUer&utm_medium=post&utm_content=sm-
push&utm_campaign=LATAM-2018
[22] hUps://rwconnect.esomar.org/cambridge-analy8ca-esomar/
[21] hUps://rwconnect.esomar.org/why-net-promoter-score-is-actually-a-bad-tool-and-what-
to-use-instead/

67. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Top Domains in Tweet in En8re Graph:
[940] esomar.org
[205] twiUer.com
[53] linkedin.com
[34] greenbookblog.org
[31] newmr.org
[30] youtube.com
[21] co.uk
[21] mrii.org
[16] marketlogicsorware.com
[15] google.com

68. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Top Hashtags in Tweet in En8re Graph:
[1489] esomar
[1257] mrx
[608] newmr
[517] datascience
[469] insights
[363] latam
[333] growthhacking
[236] businessintelligence
[226] research
[186] data

69. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Top Words in Tweet in En8re Graph:
[2782] Words in Sen8ment List#1: Posi8ve
[817] Words in Sen8ment List#2: Nega8ve
[1] Words in Sen8ment List#3: Angry/Violent
[85245] Non-categorized Words
[88844] Total Words
[3448] esomar
[1267] mrx
[717] research
[699] insights
[619] latam

70. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
Top Word Pairs in Tweet in En8re Graph:
[447] esomar,latam
[339] mrx,newmr
[297] datascience,growthhacking
[266] esomar,mrx
[186] mrx,read
[147] newmr,insights
[138] main,fest
[136] market,research
[136] esomar,apac
[132] research,insights

71. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
esomar
Tweet Follow
bpsmithuk
Tweet Follow
48mojitos
Tweet Follow
ata8melikethis
Tweet Follow
jbretcha
Tweet Follow
labright_mex
Tweet Follow
poli8cstosser
Tweet Follow
s_bravo
Tweet Follow
lovestats
Tweet Follow
sonosrown17
Tweet Follow

72. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
esomar
Tweet Follow
finn01
Tweet Follow
netquest
Tweet Follow
rw_connect
Tweet Follow
jbretcha
Tweet Follow
keenasmustard
Tweet Follow
alfonews
Tweet Follow
chicaequis
Tweet Follow
research_runner
Tweet Follow
trarasdernegi
Tweet Follow

73. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network
arkangelscrap
Tweet Follow
sectest9
Tweet Follow
startupreal8me
Tweet Follow
alevergara78
Tweet Follow
independent
Tweet Follow
itknowingness
Tweet Follow
zippylab
Tweet Follow
rodrigopb13
Tweet Follow
billnigh
Tweet Follow
mcdonalds
Tweet Follow

74. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contents
Network
Time Series
Description
Author Description
Overall Metrics
Top Influencers
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Network

75. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
We envision hundreds of NodeXL data collectors around the
world collec%vely genera%ng an archive of social media
network snapshots on a wide range of topics.
hUp://msnbcmedia.msn.com/i/msnbc/Components/Photos/071012/071012_telescope_hmed_3p.jpg

76. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Many papers of interest created using NodeXL can be found at
hUp://www.pinterest.com/nodexl/pins/
See also:
hUps://scholar.google.com/scholar?hl=en&as_sdt=0,22&q=nodexl&scisbd=1

77. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection

78. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Contact informa8on:
Marc A. Smith
Chief Social Scien8st
Social Media Research Founda8on
Marc@smrfounda8on.org
hUp://www.smrfounda8on.org
hUp://www.twiUer.com/marc_smith
hUp://www.linkedin.com/in/marcasmith
hUp://www.slideshare.net/Marc_A_Smith
hUp://www.flickr.com/photos/marc_smith
hUp://www.facebook.com/marc.smith.sociologist

79. Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Marc A. Smith, Director, Social Media Research Founda8on
The Future of
Data Collection
Q & A
Marc Smith
Social Media Research Founda8on
Ray Poynter
The Future Place