Research with Social Media Data –
Data Stewardship & Ethical Considerations
Anatoliy Gruzd
@gruzd
gruzd@ryerson.ca
Associate Professor
Ted Rogers School of Management
Director, Social Media Lab
Ryerson University
KMDI Speaker Series
University of Toronto
Toronto, Canada
February 11, 2015
2
source: http://consumer.media.seagate.com
1 PB =
1000 terabytes
Defining Big Data (3Vs)
Anatoliy Gruzd Twitter: @gruzd
Defining Big Data
• Large data sets
• Structured & Unstructured
• Live data
• Machine-generated vs User-generated
Anatoliy Gruzd 3Twitter: @gruzd
Growth of Social Big Data
from Online Social Networks
Facebook
1B
users
Twitter
500M
usersSocial Media sites have become
an integral part of our daily lives!
Social Media Data Stewardship
• Social Media Data Stewardship – processes related to all aspects of
managing social media data including collection, storage, analysis,
publishing, reuse and preservation of data
• Today’s focus on
Anatoliy Gruzd 5
COLLECTION ANALYSIS
Ethical Consideration
PRESERVATION
Twitter: @gruzd
Increasing Access to Social Big Data
via API (Application Programmable Interface)
Anatoliy Gruzd 6source: http://www.programmableweb.com
COLLECTION
Increasing Access to Social Big Data
via Data Resellers
Anatoliy Gruzd 7
COLLECTION
Twitter: @gruzd
Anatoliy Gruzd 8
+
COLLECTION Example: Twitter data & metadata
Twitter: @gruzd
Example: Twitter data & metadata (2)
Anatoliy Gruzd 9Source: https://www.scribd.com/doc/30146338/map-of-a-tweet
COLLECTION
Example: Facebook data & metadata
Anatoliy Gruzd 10
COLLECTION
Source:
https://www.facebook.com
/help/405183566203254
Twitter: @gruzd
Decision Making
in domains such as Politics, Health Care and Education
Data
Social
Big
Making Sense of Social Big Data
Anatoliy Gruzd 11
ANALYSIS
Twitter: @gruzd
Making Sense of Social Big Data
Anatoliy Gruzd 12
Social Big Data -> Visualizations -> Understanding
(Development, Application & Validation)
ANALYSIS
Twitter: @gruzd
Making Sense of Social Big Data
Example: Geo-based Analysis
Anatoliy Gruzd 13
ANALYSIS
Twitter: @gruzd
Making Sense of Social Big Data
Example: Geo-based Analysis
Anatoliy Gruzd
ANALYSIS
Source: https://blog.twitter.com/2013/the-geography-of-tweets
Geography of
Twitter Networks
Twitter: @gruzd 14
Making Sense of Social Big Data
Example: Geo-based + Content Analysis
Tracking Hate Speech on Twitter
Anatoliy Gruzd 15
ANALYSIS
Source: http://www.fenuxe.com/tag/geo-coded
Twitter: @gruzd
Making Sense of Social Big Data
Example: Network Analysis
Anatoliy Gruzd 16
ANALYSIS
Social Network Analysis (SNA)
• Nodes = People
• Edges /Ties (lines) = Relations/
“Who talks to whom”Twitter: @gruzd
• Reduce the large quantity of data into
a more concise representation
• Makes it much easier to understand
what is going on in user-driven data
Once the network is discovered, we can find out:
• How do people interact with each other,
• Who are the most/least active members of a group,
• Who is influential in a group,
• Who is susceptible to being influenced, etc…
Advantages of Social Network Analysis
Anatoliy Gruzd 17
ANALYSIS
Twitter: @gruzd
Making Sense of Social Big Data
Example: Network Analysis
Social Media Use during the 2011 Canadian Federal Election
ANALYSIS
There are some pockets of
political polarization on
Twitter
But Twitter has potential for
supporting open cross-
ideological discourse
Liberal
Conservative
Spam
Unknown &
Undecided
NDP
Left
Green
Bloc
Other
Gruzd, A. and Roy, J (2014). Political Polarization on Social Media: Do Birds of a Feather
Flock Together on Twitter? Policy & Internet. 18
Making Sense of Social Big Data
Example: Network Analysis
Communication of health-related information in blogs
ANALYSIS
Gruzd, A., Black, F.A., Le, Y., Amos, K. (2012). Investigating Biomedical Research Literature in the
Blogosphere: A Case Study of Diabetes and HbA1c. Journal of the Medical Library Association 100(1): 34-42.
Making Sense of Social Big Data
Example: Network Analysis
Communication of health-related information in blogs
ANALYSIS
Gruzd, A., Black, F.A., Le, Y., Amos, K. (2012). Investigating Biomedical Research Literature in the
Blogosphere: A Case Study of Diabetes and HbA1c. Journal of the Medical Library Association 100(1): 34-42.
Social Big Data Preservation Efforts:
Public/Non-Profit Initiatives
• Twitter Archive at the Library of
Congress
• “Archiving and preserving outlets such
as Twitter will enable future
researchers access to a fuller picture of
today’s cultural norms, dialogue,
trends and events to inform
scholarship, the legislative process,
new works of authorship, education
and other purposes.”
• As of December 1, 2012:
approximately 170 billion tweets
totaling 133.2 terabytes for two
compressed copies
http://www.loc.gov/today/pr/2013/files/twitter_r
eport_2013jan.pdf
PRESERVATION
Social Big Data Preservation Efforts:
Public/Non-Profit Initiatives
• Internet Archive https://archive.org/
Anatoliy Gruzd 22
PRESERVATION
Twitter: @gruzd
Social Big Data Preservation Efforts:
Public/Non-Profit Initiatives
• Internet Archive https://archive.org/
Anatoliy Gruzd 23
PRESERVATION
Twitter: @gruzd
Social Big Data Preservation Efforts:
Private Initiatives – Data Resellers
Anatoliy Gruzd 24
PRESERVATION
Twitter: @gruzd
Social Big Data Preservation Efforts:
Private Initiatives – Enterprise solutions
Anatoliy Gruzd 25
PRESERVATION
Twitter: @gruzd
Social Big Data Preservation Efforts:
Personal Archiving – Facebook
Anatoliy Gruzd 26
PRESERVATION
Twitter: @gruzd
Social Media Data Stewardship
• Social Media Data Stewardship – processes related to all aspects of
managing social media data including collection, storage, analysis,
publishing, reuse and preservation of data
• Today’s focus on
Anatoliy Gruzd 27
COLLECTION ANALYSIS
Ethical Consideration
PRESERVATION
Twitter: @gruzd
INDUSTRY RESEARCHERS USERS
Ethical Considerations when working with Big Data
• 2014 Facebook news feed experiment
• Facebook Atlas ID - People-based marketing
Anatoliy Gruzd 28
http://america.aljazeera.com/articles/2014/10/7/facebook-atlas.html
Ethical Consideration
Twitter: @gruzd
INDUSTRY
Anatoliy Gruzd Twitter: @gruzd 29
http://venturebeat.com/2014/10/15/all-your-social-media-posts-are-now-in-the-public-
domain-forever/?n_play=543f17f7e4b0d2b546d3373f
Ethical Consideration INDUSTRY
Social Media Data as Research Data
Data Collection Transparency
Anatoliy Gruzd Twitter: @gruzd 30
Ethical Consideration
(Driscoll & Walker, 2014)
RESEARCHERS
Social Media Data as Research Data
Data Collection Transparency:
Deleted Posts Dilemma?
Anatoliy Gruzd Twitter: @gruzd 31
Ethical Consideration
(Mason. R, 2015)
RESEARCHERS
Social Media Data as Research Data
Users’ Perspective
Views about researchers using social media fell into three
categories:
1) Scepticism: that ‘traditional’ research methods are more
valid and reliable than online methods,
2) Acceptance: online research is beneficial as it removes bias
caused by face-to-face research
3) Ambivalence: those who had no feelings, as they felt it
would happen regardless of their opinion.
Anatoliy Gruzd 32
Ethical Consideration
(Beninger et.al., 2014)
Twitter: @gruzd
Social Media Data as Research Data
Users’ Perspective
Factors that influence users’ views of research using social
media (Beninger et.al., 2014):
• mode and content of social media posts,
• social media website being used,
• the expectations the user had when posting,
• the nature/purposes of the research and researcher’s
affiliation.
Anatoliy Gruzd 33
Ethical Consideration
Twitter: @gruzd
Social Media Data as Research Data
Users’ Perspective
• Teen social media users do not express a high level of concern
about third-party access to their data; just 9% say they are
“very” concerned.
Anatoliy Gruzd 34
Ethical Consideration
Twitter: @gruzd
(Madden, et.al, 2013)
Ethical Consideration
Kitchin’s Typology of Internet Research
Human Subject Research
• In Canada research that involves human participants is
governed by the Tri-Council Policy Statement:
• Ethical Conduct for Research Involving Humans (TCPS)
• 1st Ed (2005) | 2nd Ed. (2010) | 2nd Ed. – REVISED (2014)
• http://pre.ethics.gc.ca/
36
Ethical Consideration
Anatoliy Gruzd Twitter: @gruzd 36
TCPS on Internet Research
• REB review is also not required where research uses exclusively
publicly available information that may contain identifiable
information, and for which there is no reasonable expectation
of privacy.
• Cyber-material such as documents, records, performances,
online archival materials or published third party interviews to
which the public is given uncontrolled access on the Internet
for which there is no expectation of privacy is considered to be
publicly available information.
(TCPS 2014 Ed,p.16)
37
Ethical Consideration
Anatoliy Gruzd Twitter: @gruzd 37
REB - Research Ethics Boards
TCPS on Internet Research (cont.)
• There are publicly accessible digital sites where there is a
reasonable expectation of privacy.
• When accessing identifiable information in publicly accessible
digital sites, such as Internet chat rooms, and self-help groups
with restricted membership, the privacy expectation of
contributors of these sites is much higher.
• Researchers shall submit their proposal for REB review
(see Article 10.3).
(TCPS 2014 Ed, p.16)
38
Ethical Consideration
Anatoliy Gruzd Twitter: @gruzd 38
TCPS on Internet Research (cont.)
• Where data linkage of different sources of publicly
available information is involved, it could give rise to new
forms of identifiable information that would raise issues
of privacy and confidentiality when used in research, and
would therefore require REB review (see Article 5.7).
(TCPS 2014 Ed, p.16)
39
Ethical Consideration
Anatoliy Gruzd Twitter: @gruzd 39
Social Media Data Stewardship…
• Social Media Data Stewardship – processes related to all aspects of
managing social media data including collection, storage, analysis,
publishing, reuse and preservation of data
• Today’s focus:
Anatoliy Gruzd 40
COLLECTION ANALYSIS
Ethical Consideration
PRESERVATION
Twitter: @gruzd
• Next steps: Develop a conceptual model of Social Media Data
Stewardship based on both industry & research practices as well as
social media users’ attitudes and perceptions.
Research with Social Media Data –
Data Stewardship & Ethical Considerations
Anatoliy Gruzd
@gruzd
gruzd@ryerson.ca
Associate Professor
Ted Rogers School of Management
Director, Social Media Lab
Ryerson University
KMDI Speaker Series
University of Toronto
Toronto, Canada
February 11, 2015
References
• Beninger, K., Fry, A., Jago, N., Lepps, H., Nass, L., & Silvester, H. (2014). Research
using Social Media: Users’ Views. NatCen Social Research. Retrieved from
http://www.natcen.ac.uk/media/282288/p0639-research-using-social-media-
report-final-190214.pdf
• Driscoll, K., & Walker, S. (2014). Big Data, Big Questions| Working Within a Black
Box: Transparency in the Collection and Production of Big Twitter Data.
International Journal of Communication, 8(0), 20.
• Madden, M., Am, Lenhart, a, S, Cortesi, ra, Gasser, U., … Beaton, M. (2013).
Teens, Social Media, and Privacy. Retrieved from
http://www.pewinternet.org/2013/05/21/teens-social-media-and-privacy/
• Mason, R. (2015). Social Media Research: Approaches, Findings, Challenges.
HICSS-15. Retrieved from http://somelab.net/wp-
content/uploads/2015/02/SoMe_Ames_final_presented.pdf
• Kitchin, H. (2007). Research Ethics and the Internet: Negotiating Canada’s Tri-
Council Policy Statement. Fernwood Publishing.
Anatoliy Gruzd Twitter: @gruzd 42
Image Credits
• http://commons.wikimedia.org/wiki/File:BalticServers_data_center.jpg
• http://commons.wikimedia.org/wiki/File:STS-
132_Good_Reisman_use_vr_Lab.jpg
• http://commons.wikimedia.org/wiki/File:Anonimowosc.jpg
Anatoliy Gruzd Twitter: @gruzd 43

Research with Social Media Data: Stewardship & Ethical Considerations

  • 1.
    Research with SocialMedia Data – Data Stewardship & Ethical Considerations Anatoliy Gruzd @gruzd gruzd@ryerson.ca Associate Professor Ted Rogers School of Management Director, Social Media Lab Ryerson University KMDI Speaker Series University of Toronto Toronto, Canada February 11, 2015
  • 2.
    2 source: http://consumer.media.seagate.com 1 PB= 1000 terabytes Defining Big Data (3Vs) Anatoliy Gruzd Twitter: @gruzd
  • 3.
    Defining Big Data •Large data sets • Structured & Unstructured • Live data • Machine-generated vs User-generated Anatoliy Gruzd 3Twitter: @gruzd
  • 4.
    Growth of SocialBig Data from Online Social Networks Facebook 1B users Twitter 500M usersSocial Media sites have become an integral part of our daily lives!
  • 5.
    Social Media DataStewardship • Social Media Data Stewardship – processes related to all aspects of managing social media data including collection, storage, analysis, publishing, reuse and preservation of data • Today’s focus on Anatoliy Gruzd 5 COLLECTION ANALYSIS Ethical Consideration PRESERVATION Twitter: @gruzd
  • 6.
    Increasing Access toSocial Big Data via API (Application Programmable Interface) Anatoliy Gruzd 6source: http://www.programmableweb.com COLLECTION
  • 7.
    Increasing Access toSocial Big Data via Data Resellers Anatoliy Gruzd 7 COLLECTION Twitter: @gruzd
  • 8.
    Anatoliy Gruzd 8 + COLLECTIONExample: Twitter data & metadata Twitter: @gruzd
  • 9.
    Example: Twitter data& metadata (2) Anatoliy Gruzd 9Source: https://www.scribd.com/doc/30146338/map-of-a-tweet COLLECTION
  • 10.
    Example: Facebook data& metadata Anatoliy Gruzd 10 COLLECTION Source: https://www.facebook.com /help/405183566203254 Twitter: @gruzd
  • 11.
    Decision Making in domainssuch as Politics, Health Care and Education Data Social Big Making Sense of Social Big Data Anatoliy Gruzd 11 ANALYSIS Twitter: @gruzd
  • 12.
    Making Sense ofSocial Big Data Anatoliy Gruzd 12 Social Big Data -> Visualizations -> Understanding (Development, Application & Validation) ANALYSIS Twitter: @gruzd
  • 13.
    Making Sense ofSocial Big Data Example: Geo-based Analysis Anatoliy Gruzd 13 ANALYSIS Twitter: @gruzd
  • 14.
    Making Sense ofSocial Big Data Example: Geo-based Analysis Anatoliy Gruzd ANALYSIS Source: https://blog.twitter.com/2013/the-geography-of-tweets Geography of Twitter Networks Twitter: @gruzd 14
  • 15.
    Making Sense ofSocial Big Data Example: Geo-based + Content Analysis Tracking Hate Speech on Twitter Anatoliy Gruzd 15 ANALYSIS Source: http://www.fenuxe.com/tag/geo-coded Twitter: @gruzd
  • 16.
    Making Sense ofSocial Big Data Example: Network Analysis Anatoliy Gruzd 16 ANALYSIS Social Network Analysis (SNA) • Nodes = People • Edges /Ties (lines) = Relations/ “Who talks to whom”Twitter: @gruzd
  • 17.
    • Reduce thelarge quantity of data into a more concise representation • Makes it much easier to understand what is going on in user-driven data Once the network is discovered, we can find out: • How do people interact with each other, • Who are the most/least active members of a group, • Who is influential in a group, • Who is susceptible to being influenced, etc… Advantages of Social Network Analysis Anatoliy Gruzd 17 ANALYSIS Twitter: @gruzd
  • 18.
    Making Sense ofSocial Big Data Example: Network Analysis Social Media Use during the 2011 Canadian Federal Election ANALYSIS There are some pockets of political polarization on Twitter But Twitter has potential for supporting open cross- ideological discourse Liberal Conservative Spam Unknown & Undecided NDP Left Green Bloc Other Gruzd, A. and Roy, J (2014). Political Polarization on Social Media: Do Birds of a Feather Flock Together on Twitter? Policy & Internet. 18
  • 19.
    Making Sense ofSocial Big Data Example: Network Analysis Communication of health-related information in blogs ANALYSIS Gruzd, A., Black, F.A., Le, Y., Amos, K. (2012). Investigating Biomedical Research Literature in the Blogosphere: A Case Study of Diabetes and HbA1c. Journal of the Medical Library Association 100(1): 34-42.
  • 20.
    Making Sense ofSocial Big Data Example: Network Analysis Communication of health-related information in blogs ANALYSIS Gruzd, A., Black, F.A., Le, Y., Amos, K. (2012). Investigating Biomedical Research Literature in the Blogosphere: A Case Study of Diabetes and HbA1c. Journal of the Medical Library Association 100(1): 34-42.
  • 21.
    Social Big DataPreservation Efforts: Public/Non-Profit Initiatives • Twitter Archive at the Library of Congress • “Archiving and preserving outlets such as Twitter will enable future researchers access to a fuller picture of today’s cultural norms, dialogue, trends and events to inform scholarship, the legislative process, new works of authorship, education and other purposes.” • As of December 1, 2012: approximately 170 billion tweets totaling 133.2 terabytes for two compressed copies http://www.loc.gov/today/pr/2013/files/twitter_r eport_2013jan.pdf PRESERVATION
  • 22.
    Social Big DataPreservation Efforts: Public/Non-Profit Initiatives • Internet Archive https://archive.org/ Anatoliy Gruzd 22 PRESERVATION Twitter: @gruzd
  • 23.
    Social Big DataPreservation Efforts: Public/Non-Profit Initiatives • Internet Archive https://archive.org/ Anatoliy Gruzd 23 PRESERVATION Twitter: @gruzd
  • 24.
    Social Big DataPreservation Efforts: Private Initiatives – Data Resellers Anatoliy Gruzd 24 PRESERVATION Twitter: @gruzd
  • 25.
    Social Big DataPreservation Efforts: Private Initiatives – Enterprise solutions Anatoliy Gruzd 25 PRESERVATION Twitter: @gruzd
  • 26.
    Social Big DataPreservation Efforts: Personal Archiving – Facebook Anatoliy Gruzd 26 PRESERVATION Twitter: @gruzd
  • 27.
    Social Media DataStewardship • Social Media Data Stewardship – processes related to all aspects of managing social media data including collection, storage, analysis, publishing, reuse and preservation of data • Today’s focus on Anatoliy Gruzd 27 COLLECTION ANALYSIS Ethical Consideration PRESERVATION Twitter: @gruzd INDUSTRY RESEARCHERS USERS
  • 28.
    Ethical Considerations whenworking with Big Data • 2014 Facebook news feed experiment • Facebook Atlas ID - People-based marketing Anatoliy Gruzd 28 http://america.aljazeera.com/articles/2014/10/7/facebook-atlas.html Ethical Consideration Twitter: @gruzd INDUSTRY
  • 29.
    Anatoliy Gruzd Twitter:@gruzd 29 http://venturebeat.com/2014/10/15/all-your-social-media-posts-are-now-in-the-public- domain-forever/?n_play=543f17f7e4b0d2b546d3373f Ethical Consideration INDUSTRY
  • 30.
    Social Media Dataas Research Data Data Collection Transparency Anatoliy Gruzd Twitter: @gruzd 30 Ethical Consideration (Driscoll & Walker, 2014) RESEARCHERS
  • 31.
    Social Media Dataas Research Data Data Collection Transparency: Deleted Posts Dilemma? Anatoliy Gruzd Twitter: @gruzd 31 Ethical Consideration (Mason. R, 2015) RESEARCHERS
  • 32.
    Social Media Dataas Research Data Users’ Perspective Views about researchers using social media fell into three categories: 1) Scepticism: that ‘traditional’ research methods are more valid and reliable than online methods, 2) Acceptance: online research is beneficial as it removes bias caused by face-to-face research 3) Ambivalence: those who had no feelings, as they felt it would happen regardless of their opinion. Anatoliy Gruzd 32 Ethical Consideration (Beninger et.al., 2014) Twitter: @gruzd
  • 33.
    Social Media Dataas Research Data Users’ Perspective Factors that influence users’ views of research using social media (Beninger et.al., 2014): • mode and content of social media posts, • social media website being used, • the expectations the user had when posting, • the nature/purposes of the research and researcher’s affiliation. Anatoliy Gruzd 33 Ethical Consideration Twitter: @gruzd
  • 34.
    Social Media Dataas Research Data Users’ Perspective • Teen social media users do not express a high level of concern about third-party access to their data; just 9% say they are “very” concerned. Anatoliy Gruzd 34 Ethical Consideration Twitter: @gruzd (Madden, et.al, 2013)
  • 35.
  • 36.
    Human Subject Research •In Canada research that involves human participants is governed by the Tri-Council Policy Statement: • Ethical Conduct for Research Involving Humans (TCPS) • 1st Ed (2005) | 2nd Ed. (2010) | 2nd Ed. – REVISED (2014) • http://pre.ethics.gc.ca/ 36 Ethical Consideration Anatoliy Gruzd Twitter: @gruzd 36
  • 37.
    TCPS on InternetResearch • REB review is also not required where research uses exclusively publicly available information that may contain identifiable information, and for which there is no reasonable expectation of privacy. • Cyber-material such as documents, records, performances, online archival materials or published third party interviews to which the public is given uncontrolled access on the Internet for which there is no expectation of privacy is considered to be publicly available information. (TCPS 2014 Ed,p.16) 37 Ethical Consideration Anatoliy Gruzd Twitter: @gruzd 37 REB - Research Ethics Boards
  • 38.
    TCPS on InternetResearch (cont.) • There are publicly accessible digital sites where there is a reasonable expectation of privacy. • When accessing identifiable information in publicly accessible digital sites, such as Internet chat rooms, and self-help groups with restricted membership, the privacy expectation of contributors of these sites is much higher. • Researchers shall submit their proposal for REB review (see Article 10.3). (TCPS 2014 Ed, p.16) 38 Ethical Consideration Anatoliy Gruzd Twitter: @gruzd 38
  • 39.
    TCPS on InternetResearch (cont.) • Where data linkage of different sources of publicly available information is involved, it could give rise to new forms of identifiable information that would raise issues of privacy and confidentiality when used in research, and would therefore require REB review (see Article 5.7). (TCPS 2014 Ed, p.16) 39 Ethical Consideration Anatoliy Gruzd Twitter: @gruzd 39
  • 40.
    Social Media DataStewardship… • Social Media Data Stewardship – processes related to all aspects of managing social media data including collection, storage, analysis, publishing, reuse and preservation of data • Today’s focus: Anatoliy Gruzd 40 COLLECTION ANALYSIS Ethical Consideration PRESERVATION Twitter: @gruzd • Next steps: Develop a conceptual model of Social Media Data Stewardship based on both industry & research practices as well as social media users’ attitudes and perceptions.
  • 41.
    Research with SocialMedia Data – Data Stewardship & Ethical Considerations Anatoliy Gruzd @gruzd gruzd@ryerson.ca Associate Professor Ted Rogers School of Management Director, Social Media Lab Ryerson University KMDI Speaker Series University of Toronto Toronto, Canada February 11, 2015
  • 42.
    References • Beninger, K.,Fry, A., Jago, N., Lepps, H., Nass, L., & Silvester, H. (2014). Research using Social Media: Users’ Views. NatCen Social Research. Retrieved from http://www.natcen.ac.uk/media/282288/p0639-research-using-social-media- report-final-190214.pdf • Driscoll, K., & Walker, S. (2014). Big Data, Big Questions| Working Within a Black Box: Transparency in the Collection and Production of Big Twitter Data. International Journal of Communication, 8(0), 20. • Madden, M., Am, Lenhart, a, S, Cortesi, ra, Gasser, U., … Beaton, M. (2013). Teens, Social Media, and Privacy. Retrieved from http://www.pewinternet.org/2013/05/21/teens-social-media-and-privacy/ • Mason, R. (2015). Social Media Research: Approaches, Findings, Challenges. HICSS-15. Retrieved from http://somelab.net/wp- content/uploads/2015/02/SoMe_Ames_final_presented.pdf • Kitchin, H. (2007). Research Ethics and the Internet: Negotiating Canada’s Tri- Council Policy Statement. Fernwood Publishing. Anatoliy Gruzd Twitter: @gruzd 42
  • 43.
    Image Credits • http://commons.wikimedia.org/wiki/File:BalticServers_data_center.jpg •http://commons.wikimedia.org/wiki/File:STS- 132_Good_Reisman_use_vr_Lab.jpg • http://commons.wikimedia.org/wiki/File:Anonimowosc.jpg Anatoliy Gruzd Twitter: @gruzd 43