SlideShare a Scribd company logo
1 of 17
Download to read offline
Semantic Networks of Interests in Online NSSI
Communities
A Case Study in Mining Pathological Adolescent Minds

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman
Mathematics and Computer Science Department, Psychology Department
Suffolk University, Boston

June 22, 2012
What Is NSSI?

Non-suicidal self-injury (NSSI) is the direct, deliberate destruction of
one’s own body tissue in the absence of suicidal intent.
It is practiced primarily by adolescents and young adults and is often
concealed from others.
Common NSSI activities include skin cutting, banging or hitting
oneself, and burns.

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Why NSSI Matters?

14% to 21% of adolescents and 17% to 25% of young adults have
engaged in NSSI at some point in their lives
NSSI is repeatedly found to be associated with significant emotional
and behavioral dysfunction (e.g., eating disorders, suicide).
Can we identify NSSI persons by automatically analyzing secondary
data publicly available from massive online social networks (MOSN)?

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
NSSI and Massive Online Social Networks

Many popular MOSNs (e.g., Facebook and LiveJournal) allow users
to declare their interests.
Associations between interest lists and NSSI community membership
suggest that “likes” or interest lists may be serving as identity
signals.
Profile page with interests of a random NSSI LiveJournal user:

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
NSSI Communities in LiveJournal

LiveJournal[.com] is a popular massive online blogging social
network site (BSN)—a bimodal venue where users engage in both
publishing and social activities.
Bloggers can form contact lists, subscribe to their friends’ blogs,
comment on selected blog posts, declare interests, and participate in
communities—collective blogs.
32 mln individual and community accounts.
43 identified NSSI-related communities (some of them promote
NSSI activities, while others advocate for NSSI abstinence) with
22,000 members and/or posters.
The total number of harvested interests is ∼150,000, including
misspelled, abbreviated, and hyphenated variants.

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Users and Interests

M is the adjacency matrix of a two-mode network of the NSSI users and
their interests:
Mij =

1
0

iff user Ui declares interest Vj
else

Should we use Pearson correlation (a.k.a. cosine distance) to calculate
similarities of interests?
Yes—if all users were different. However, a thematic community is likely
to be more homogeneous than a random group of users.

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Kova´z Correlations
c
B. Kova´z: “Two terms are similar with correlation Θij ∈ [−1, 1] if they
c
are used by similar people; two people are similar with correlation
Φij ∈ [−1, 1] if they use similar terms.” (We calculate Φ but do not use
it.)
Initialize:
Mi = Mi, − Mi,
Mj = M

,j

−M

,j

Θij,0 = Φij,0 = δij
Iterate:
Θij,k+1 = Mi Φk MjT /

Mi Φk MiT (M j Φk M jT )

Φij,k+1 = MiT Θk Mj /

MiT Θk Mi (M jT Θk M j )

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
From Θ to an Adjacency Matrix

Θ is a dense symmetric signed square matrix with few or no zero
terms.
The distribution of Θij is close to uniform.
Restricted to the top 600 most often declared interests (due to
computational resources).
Convert Θ to a sparse adjacency matrix Ψ:
Ψij =

Θij
0

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

if Θij ≥ 0.8
else

Semantic Networks of Interests in Online NSSI Communities
Semantic Map, as Seen by Gephi

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Clustering

Four major clusters: “music” (MUS), “pathology” (PAT), “daily
life/emotions” (DLE), and “creativity” (CRE). Examples of terms:
MUS: atreyu, him, incubus, korn, my chemical romance, nirvana,
rancid, system of a down, the perfect circle;
PAT: alcohol, anorexia, bulimia, burning, cutting, handcuffs,
pain, self-injury and self-mutilation (both with and
without the dash), spikes, weeds;
DLE: cameras, cloths, dvds, flirting, flowers, fun, quotes,
smiling, hearts (also as an HTML entity ♥ and as
♥);
CRE: astrology, books, languages, philosophy, psychology,
shakespeare, sociology, travel, wine.

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Bridges

The border zones are spanned with few bridge interests:
PAT/MUS: (black) eyeliner, girl interrupted, metal;
PAT/DLE: candy, girls, insomnia, red, rock music, sex;
MUS/DLE: animals, camping, fashion, games, honesty, humor,
travel(l)ing;
All clusters: bands, bracelets, hoodies, lesbians, making out.
Can these bridges be viewed as NSSI “beacons?”

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Pathology Cluster
The blowout of the PAT cluster:

(A link between two interests means many people often mention these
interests together.)
Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Are the Links NSSI Specific?

Compare the NSSI communities to a random sample of LiveJournal
users—doesn’t work, they share very few interests!
Find appropriate communities that may share interests with the
NSSI population:
SMM “sexy-mood-music” (6,700 members, average age 25
years, music),
M15M “movies-in-fifteen-minutes” (13,300 members,
average age 28 years, video fans).
Calculate the intersection between the NSSI semantic network and
each of the other semantic networks under consideration. The
intersection contains the associations that are significant for both
communities and presumably are pathology-free.

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Pathology-Free Networks
Intersection of the NSSI and SMM networks:

Well-defined CRE and DLE clusters. The MUS cluster is sparse and
subdivided into movies and proper music. The PAT cluster is gone!

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Leisure on Their Mind

Our findings appear indicative of the growing global middle-class youth
culture revolving around leisure activities (e.g., music, art) reflecting
adolescent development in internationally-connected networks. This is
supported by the similarities between the NSSI interested communities
and the non-pathological comparison communities.

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Conclusions

We constructed a semantic network of interests declared by
non-suicidal self-injury (NSSI) bloggers of LiveJournal.
The network consists of four clearly separated interest clusters
corresponding to the pathological terms, daily life, popular music,
and creativity.
The interests that bridge gaps between the pathology cluster and
the other three clusters can be used as beacons signaling the
potential presence of an NSSI behavior.
The extent of MOSN NSSI-related communities on LiveJournal
could evidence the limited opportunities for social networking among
people.

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities
Thanks!

This research has been supported in part by the College of Arts and
Sciences, Suffolk University, through an undergraduate research
assistantship grant.
The authors are grateful to Zo¨ Wells of Suffolk University for preliminary
e
data collection and Dr. Jim Hollander and Prof. John Boyd for
suggestions on combining graphs.

Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman

Semantic Networks of Interests in Online NSSI Communities

More Related Content

Similar to Semantic Networks of Interests in Online NSSI Communities

Top 5 ways to improve how we influence, fundraise and campaign - as suggested...
Top 5 ways to improve how we influence, fundraise and campaign - as suggested...Top 5 ways to improve how we influence, fundraise and campaign - as suggested...
Top 5 ways to improve how we influence, fundraise and campaign - as suggested...FairSay
 
Bu Seagulls Project
Bu Seagulls ProjectBu Seagulls Project
Bu Seagulls ProjectYasin Eroglu
 
Non Profit Organization Essay.pdf
Non Profit Organization Essay.pdfNon Profit Organization Essay.pdf
Non Profit Organization Essay.pdfTakyra Roberts
 
Intersectional Approach to Uplift the Vulnerable
Intersectional Approach to Uplift the VulnerableIntersectional Approach to Uplift the Vulnerable
Intersectional Approach to Uplift the VulnerableESD UNU-IAS
 
What Drives Violent Extremism and How to Counter It.pdf
What Drives Violent Extremism and How to Counter It.pdfWhat Drives Violent Extremism and How to Counter It.pdf
What Drives Violent Extremism and How to Counter It.pdfSajid Amit
 
Critical Analysis of the Four Lenses of Diversity
Critical Analysis of the Four Lenses of DiversityCritical Analysis of the Four Lenses of Diversity
Critical Analysis of the Four Lenses of DiversityAlexandraPerkins5
 
Families, Society & Psychiatry: The Intimate Triad of Social Psychiatry
 Families, Society & Psychiatry: The Intimate Triad of Social Psychiatry Families, Society & Psychiatry: The Intimate Triad of Social Psychiatry
Families, Society & Psychiatry: The Intimate Triad of Social PsychiatryUniversité de Montréal
 
Rete e Reti: Per-che' e per-chi?
Rete e Reti: Per-che' e per-chi?Rete e Reti: Per-che' e per-chi?
Rete e Reti: Per-che' e per-chi?Paolo Massa
 
Networking, the new social revolution in health care
Networking, the new social revolution in health careNetworking, the new social revolution in health care
Networking, the new social revolution in health careMario Christodoulou
 
Social Network Analysis power point presentation
Social Network Analysis power point presentation Social Network Analysis power point presentation
Social Network Analysis power point presentation Ratnesh Shah
 
Open Grid Forum workshop on Social Networks, Semantic Grids and Web
Open Grid Forum workshop on Social Networks, Semantic Grids and WebOpen Grid Forum workshop on Social Networks, Semantic Grids and Web
Open Grid Forum workshop on Social Networks, Semantic Grids and WebNoshir Contractor
 
Social media and socio analysis
Social media and socio analysisSocial media and socio analysis
Social media and socio analysisDavid Patman
 
Mother To Son Essay.pdf
Mother To Son Essay.pdfMother To Son Essay.pdf
Mother To Son Essay.pdfJackie Rojas
 
FINAL POSTER APRIL 6 2015
FINAL POSTER APRIL 6 2015FINAL POSTER APRIL 6 2015
FINAL POSTER APRIL 6 2015Ivette Merced
 
Depression Screening in Humans With AI and Deep Learning Techniques.pdf
Depression Screening in Humans With AI and Deep Learning Techniques.pdfDepression Screening in Humans With AI and Deep Learning Techniques.pdf
Depression Screening in Humans With AI and Deep Learning Techniques.pdfOKOKPROJECTS
 

Similar to Semantic Networks of Interests in Online NSSI Communities (17)

Top 5 ways to improve how we influence, fundraise and campaign - as suggested...
Top 5 ways to improve how we influence, fundraise and campaign - as suggested...Top 5 ways to improve how we influence, fundraise and campaign - as suggested...
Top 5 ways to improve how we influence, fundraise and campaign - as suggested...
 
Bu Seagulls Project
Bu Seagulls ProjectBu Seagulls Project
Bu Seagulls Project
 
Non Profit Organization Essay.pdf
Non Profit Organization Essay.pdfNon Profit Organization Essay.pdf
Non Profit Organization Essay.pdf
 
Week2
Week2Week2
Week2
 
Intersectional Approach to Uplift the Vulnerable
Intersectional Approach to Uplift the VulnerableIntersectional Approach to Uplift the Vulnerable
Intersectional Approach to Uplift the Vulnerable
 
What Drives Violent Extremism and How to Counter It.pdf
What Drives Violent Extremism and How to Counter It.pdfWhat Drives Violent Extremism and How to Counter It.pdf
What Drives Violent Extremism and How to Counter It.pdf
 
Critical Analysis of the Four Lenses of Diversity
Critical Analysis of the Four Lenses of DiversityCritical Analysis of the Four Lenses of Diversity
Critical Analysis of the Four Lenses of Diversity
 
Families, Society & Psychiatry: The Intimate Triad of Social Psychiatry
 Families, Society & Psychiatry: The Intimate Triad of Social Psychiatry Families, Society & Psychiatry: The Intimate Triad of Social Psychiatry
Families, Society & Psychiatry: The Intimate Triad of Social Psychiatry
 
Rete e Reti: Per-che' e per-chi?
Rete e Reti: Per-che' e per-chi?Rete e Reti: Per-che' e per-chi?
Rete e Reti: Per-che' e per-chi?
 
Networking, the new social revolution in health care
Networking, the new social revolution in health careNetworking, the new social revolution in health care
Networking, the new social revolution in health care
 
Social Network Analysis power point presentation
Social Network Analysis power point presentation Social Network Analysis power point presentation
Social Network Analysis power point presentation
 
Open Grid Forum workshop on Social Networks, Semantic Grids and Web
Open Grid Forum workshop on Social Networks, Semantic Grids and WebOpen Grid Forum workshop on Social Networks, Semantic Grids and Web
Open Grid Forum workshop on Social Networks, Semantic Grids and Web
 
SENIOR THESIS RMAS
SENIOR THESIS RMASSENIOR THESIS RMAS
SENIOR THESIS RMAS
 
Social media and socio analysis
Social media and socio analysisSocial media and socio analysis
Social media and socio analysis
 
Mother To Son Essay.pdf
Mother To Son Essay.pdfMother To Son Essay.pdf
Mother To Son Essay.pdf
 
FINAL POSTER APRIL 6 2015
FINAL POSTER APRIL 6 2015FINAL POSTER APRIL 6 2015
FINAL POSTER APRIL 6 2015
 
Depression Screening in Humans With AI and Deep Learning Techniques.pdf
Depression Screening in Humans With AI and Deep Learning Techniques.pdfDepression Screening in Humans With AI and Deep Learning Techniques.pdf
Depression Screening in Humans With AI and Deep Learning Techniques.pdf
 

More from Dmitry Zinoviev

Machine Learning Basics for Dummies (no math!)
Machine Learning Basics for Dummies (no math!)Machine Learning Basics for Dummies (no math!)
Machine Learning Basics for Dummies (no math!)Dmitry Zinoviev
 
WHat is star discourse in post-Soviet film journals?
WHat is star discourse in post-Soviet film journals?WHat is star discourse in post-Soviet film journals?
WHat is star discourse in post-Soviet film journals?Dmitry Zinoviev
 
The “Musk” Effect at Twitter
The “Musk” Effect at TwitterThe “Musk” Effect at Twitter
The “Musk” Effect at TwitterDmitry Zinoviev
 
Are Twitter Networks of Regional Entrepreneurs Gendered?
Are Twitter Networks of Regional Entrepreneurs Gendered?Are Twitter Networks of Regional Entrepreneurs Gendered?
Are Twitter Networks of Regional Entrepreneurs Gendered?Dmitry Zinoviev
 
Using Complex Network Analysis for Periodization
Using Complex Network Analysis for PeriodizationUsing Complex Network Analysis for Periodization
Using Complex Network Analysis for PeriodizationDmitry Zinoviev
 
Text analysis of The Book Club Play
Text analysis of The Book Club PlayText analysis of The Book Club Play
Text analysis of The Book Club PlayDmitry Zinoviev
 
Exploring the History of Mental Stigma
Exploring the History of Mental StigmaExploring the History of Mental Stigma
Exploring the History of Mental StigmaDmitry Zinoviev
 
Roles and Words in a massive NSSI-Related Interaction Network
Roles and Words in a massive NSSI-Related Interaction NetworkRoles and Words in a massive NSSI-Related Interaction Network
Roles and Words in a massive NSSI-Related Interaction NetworkDmitry Zinoviev
 
“A Quaint and Curious Volume of Forgotten Lore,” or an Exercise in Digital Hu...
“A Quaint and Curious Volume of Forgotten Lore,” or an Exercise in Digital Hu...“A Quaint and Curious Volume of Forgotten Lore,” or an Exercise in Digital Hu...
“A Quaint and Curious Volume of Forgotten Lore,” or an Exercise in Digital Hu...Dmitry Zinoviev
 
Network analysis of the 2016 USA presidential campaign tweets
Network analysis of the 2016 USA presidential campaign tweetsNetwork analysis of the 2016 USA presidential campaign tweets
Network analysis of the 2016 USA presidential campaign tweetsDmitry Zinoviev
 
Network Analysis of The Shining
Network Analysis of The ShiningNetwork Analysis of The Shining
Network Analysis of The ShiningDmitry Zinoviev
 
The Lord of the Ring. A Network Analysis
The Lord of the Ring. A Network AnalysisThe Lord of the Ring. A Network Analysis
The Lord of the Ring. A Network AnalysisDmitry Zinoviev
 
DaVinci Code. Network Analysis
DaVinci Code. Network AnalysisDaVinci Code. Network Analysis
DaVinci Code. Network AnalysisDmitry Zinoviev
 
Soviet Popular Music Landscape: Community Structure and Success Predictors
Soviet Popular Music Landscape: Community Structure and Success PredictorsSoviet Popular Music Landscape: Community Structure and Success Predictors
Soviet Popular Music Landscape: Community Structure and Success PredictorsDmitry Zinoviev
 

More from Dmitry Zinoviev (20)

Machine Learning Basics for Dummies (no math!)
Machine Learning Basics for Dummies (no math!)Machine Learning Basics for Dummies (no math!)
Machine Learning Basics for Dummies (no math!)
 
WHat is star discourse in post-Soviet film journals?
WHat is star discourse in post-Soviet film journals?WHat is star discourse in post-Soviet film journals?
WHat is star discourse in post-Soviet film journals?
 
The “Musk” Effect at Twitter
The “Musk” Effect at TwitterThe “Musk” Effect at Twitter
The “Musk” Effect at Twitter
 
Are Twitter Networks of Regional Entrepreneurs Gendered?
Are Twitter Networks of Regional Entrepreneurs Gendered?Are Twitter Networks of Regional Entrepreneurs Gendered?
Are Twitter Networks of Regional Entrepreneurs Gendered?
 
Using Complex Network Analysis for Periodization
Using Complex Network Analysis for PeriodizationUsing Complex Network Analysis for Periodization
Using Complex Network Analysis for Periodization
 
Algorithms
AlgorithmsAlgorithms
Algorithms
 
Text analysis of The Book Club Play
Text analysis of The Book Club PlayText analysis of The Book Club Play
Text analysis of The Book Club Play
 
Exploring the History of Mental Stigma
Exploring the History of Mental StigmaExploring the History of Mental Stigma
Exploring the History of Mental Stigma
 
Roles and Words in a massive NSSI-Related Interaction Network
Roles and Words in a massive NSSI-Related Interaction NetworkRoles and Words in a massive NSSI-Related Interaction Network
Roles and Words in a massive NSSI-Related Interaction Network
 
“A Quaint and Curious Volume of Forgotten Lore,” or an Exercise in Digital Hu...
“A Quaint and Curious Volume of Forgotten Lore,” or an Exercise in Digital Hu...“A Quaint and Curious Volume of Forgotten Lore,” or an Exercise in Digital Hu...
“A Quaint and Curious Volume of Forgotten Lore,” or an Exercise in Digital Hu...
 
Network analysis of the 2016 USA presidential campaign tweets
Network analysis of the 2016 USA presidential campaign tweetsNetwork analysis of the 2016 USA presidential campaign tweets
Network analysis of the 2016 USA presidential campaign tweets
 
Network Analysis of The Shining
Network Analysis of The ShiningNetwork Analysis of The Shining
Network Analysis of The Shining
 
The Lord of the Ring. A Network Analysis
The Lord of the Ring. A Network AnalysisThe Lord of the Ring. A Network Analysis
The Lord of the Ring. A Network Analysis
 
Pickling and CSV
Pickling and CSVPickling and CSV
Pickling and CSV
 
Python overview
Python overviewPython overview
Python overview
 
Welcome to CS310!
Welcome to CS310!Welcome to CS310!
Welcome to CS310!
 
Programming languages
Programming languagesProgramming languages
Programming languages
 
The P4 of Networkacy
The P4 of NetworkacyThe P4 of Networkacy
The P4 of Networkacy
 
DaVinci Code. Network Analysis
DaVinci Code. Network AnalysisDaVinci Code. Network Analysis
DaVinci Code. Network Analysis
 
Soviet Popular Music Landscape: Community Structure and Success Predictors
Soviet Popular Music Landscape: Community Structure and Success PredictorsSoviet Popular Music Landscape: Community Structure and Success Predictors
Soviet Popular Music Landscape: Community Structure and Success Predictors
 

Recently uploaded

Noida Sector 135 Call Girls ( 9873940964 ) Book Hot And Sexy Girls In A Few C...
Noida Sector 135 Call Girls ( 9873940964 ) Book Hot And Sexy Girls In A Few C...Noida Sector 135 Call Girls ( 9873940964 ) Book Hot And Sexy Girls In A Few C...
Noida Sector 135 Call Girls ( 9873940964 ) Book Hot And Sexy Girls In A Few C...rajnisinghkjn
 
Call Girls Hsr Layout Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Hsr Layout Just Call 7001305949 Top Class Call Girl Service AvailableCall Girls Hsr Layout Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Hsr Layout Just Call 7001305949 Top Class Call Girl Service Availablenarwatsonia7
 
Call Girls Service Noida Maya 9711199012 Independent Escort Service Noida
Call Girls Service Noida Maya 9711199012 Independent Escort Service NoidaCall Girls Service Noida Maya 9711199012 Independent Escort Service Noida
Call Girls Service Noida Maya 9711199012 Independent Escort Service NoidaPooja Gupta
 
Hemostasis Physiology and Clinical correlations by Dr Faiza.pdf
Hemostasis Physiology and Clinical correlations by Dr Faiza.pdfHemostasis Physiology and Clinical correlations by Dr Faiza.pdf
Hemostasis Physiology and Clinical correlations by Dr Faiza.pdfMedicoseAcademics
 
Call Girls Hebbal Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Hebbal Just Call 7001305949 Top Class Call Girl Service AvailableCall Girls Hebbal Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Hebbal Just Call 7001305949 Top Class Call Girl Service Availablenarwatsonia7
 
Pharmaceutical Marketting: Unit-5, Pricing
Pharmaceutical Marketting: Unit-5, PricingPharmaceutical Marketting: Unit-5, Pricing
Pharmaceutical Marketting: Unit-5, PricingArunagarwal328757
 
Call Girls Electronic City Just Call 7001305949 Top Class Call Girl Service A...
Call Girls Electronic City Just Call 7001305949 Top Class Call Girl Service A...Call Girls Electronic City Just Call 7001305949 Top Class Call Girl Service A...
Call Girls Electronic City Just Call 7001305949 Top Class Call Girl Service A...narwatsonia7
 
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service JaipurHigh Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipurparulsinha
 
call girls in paharganj DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in paharganj DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in paharganj DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in paharganj DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️saminamagar
 
Case Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptxCase Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptxNiranjan Chavan
 
Kolkata Call Girls Services 9907093804 @24x7 High Class Babes Here Call Now
Kolkata Call Girls Services 9907093804 @24x7 High Class Babes Here Call NowKolkata Call Girls Services 9907093804 @24x7 High Class Babes Here Call Now
Kolkata Call Girls Services 9907093804 @24x7 High Class Babes Here Call NowNehru place Escorts
 
Call Girls Kanakapura Road Just Call 7001305949 Top Class Call Girl Service A...
Call Girls Kanakapura Road Just Call 7001305949 Top Class Call Girl Service A...Call Girls Kanakapura Road Just Call 7001305949 Top Class Call Girl Service A...
Call Girls Kanakapura Road Just Call 7001305949 Top Class Call Girl Service A...narwatsonia7
 
Call Girls Service in Virugambakkam - 7001305949 | 24x7 Service Available Nea...
Call Girls Service in Virugambakkam - 7001305949 | 24x7 Service Available Nea...Call Girls Service in Virugambakkam - 7001305949 | 24x7 Service Available Nea...
Call Girls Service in Virugambakkam - 7001305949 | 24x7 Service Available Nea...Nehru place Escorts
 
Glomerular Filtration and determinants of glomerular filtration .pptx
Glomerular Filtration and  determinants of glomerular filtration .pptxGlomerular Filtration and  determinants of glomerular filtration .pptx
Glomerular Filtration and determinants of glomerular filtration .pptxDr.Nusrat Tariq
 
Call Girls Thane Just Call 9910780858 Get High Class Call Girls Service
Call Girls Thane Just Call 9910780858 Get High Class Call Girls ServiceCall Girls Thane Just Call 9910780858 Get High Class Call Girls Service
Call Girls Thane Just Call 9910780858 Get High Class Call Girls Servicesonalikaur4
 
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...narwatsonia7
 
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️saminamagar
 
Air-Hostess Call Girls Madambakkam - Phone No 7001305949 For Ultimate Sexual ...
Air-Hostess Call Girls Madambakkam - Phone No 7001305949 For Ultimate Sexual ...Air-Hostess Call Girls Madambakkam - Phone No 7001305949 For Ultimate Sexual ...
Air-Hostess Call Girls Madambakkam - Phone No 7001305949 For Ultimate Sexual ...Ahmedabad Escorts
 
Call Girls Jayanagar Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Jayanagar Just Call 7001305949 Top Class Call Girl Service AvailableCall Girls Jayanagar Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Jayanagar Just Call 7001305949 Top Class Call Girl Service Availablenarwatsonia7
 
See the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy PlatformSee the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy PlatformKweku Zurek
 

Recently uploaded (20)

Noida Sector 135 Call Girls ( 9873940964 ) Book Hot And Sexy Girls In A Few C...
Noida Sector 135 Call Girls ( 9873940964 ) Book Hot And Sexy Girls In A Few C...Noida Sector 135 Call Girls ( 9873940964 ) Book Hot And Sexy Girls In A Few C...
Noida Sector 135 Call Girls ( 9873940964 ) Book Hot And Sexy Girls In A Few C...
 
Call Girls Hsr Layout Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Hsr Layout Just Call 7001305949 Top Class Call Girl Service AvailableCall Girls Hsr Layout Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Hsr Layout Just Call 7001305949 Top Class Call Girl Service Available
 
Call Girls Service Noida Maya 9711199012 Independent Escort Service Noida
Call Girls Service Noida Maya 9711199012 Independent Escort Service NoidaCall Girls Service Noida Maya 9711199012 Independent Escort Service Noida
Call Girls Service Noida Maya 9711199012 Independent Escort Service Noida
 
Hemostasis Physiology and Clinical correlations by Dr Faiza.pdf
Hemostasis Physiology and Clinical correlations by Dr Faiza.pdfHemostasis Physiology and Clinical correlations by Dr Faiza.pdf
Hemostasis Physiology and Clinical correlations by Dr Faiza.pdf
 
Call Girls Hebbal Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Hebbal Just Call 7001305949 Top Class Call Girl Service AvailableCall Girls Hebbal Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Hebbal Just Call 7001305949 Top Class Call Girl Service Available
 
Pharmaceutical Marketting: Unit-5, Pricing
Pharmaceutical Marketting: Unit-5, PricingPharmaceutical Marketting: Unit-5, Pricing
Pharmaceutical Marketting: Unit-5, Pricing
 
Call Girls Electronic City Just Call 7001305949 Top Class Call Girl Service A...
Call Girls Electronic City Just Call 7001305949 Top Class Call Girl Service A...Call Girls Electronic City Just Call 7001305949 Top Class Call Girl Service A...
Call Girls Electronic City Just Call 7001305949 Top Class Call Girl Service A...
 
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service JaipurHigh Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
 
call girls in paharganj DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in paharganj DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in paharganj DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in paharganj DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
 
Case Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptxCase Report Peripartum Cardiomyopathy.pptx
Case Report Peripartum Cardiomyopathy.pptx
 
Kolkata Call Girls Services 9907093804 @24x7 High Class Babes Here Call Now
Kolkata Call Girls Services 9907093804 @24x7 High Class Babes Here Call NowKolkata Call Girls Services 9907093804 @24x7 High Class Babes Here Call Now
Kolkata Call Girls Services 9907093804 @24x7 High Class Babes Here Call Now
 
Call Girls Kanakapura Road Just Call 7001305949 Top Class Call Girl Service A...
Call Girls Kanakapura Road Just Call 7001305949 Top Class Call Girl Service A...Call Girls Kanakapura Road Just Call 7001305949 Top Class Call Girl Service A...
Call Girls Kanakapura Road Just Call 7001305949 Top Class Call Girl Service A...
 
Call Girls Service in Virugambakkam - 7001305949 | 24x7 Service Available Nea...
Call Girls Service in Virugambakkam - 7001305949 | 24x7 Service Available Nea...Call Girls Service in Virugambakkam - 7001305949 | 24x7 Service Available Nea...
Call Girls Service in Virugambakkam - 7001305949 | 24x7 Service Available Nea...
 
Glomerular Filtration and determinants of glomerular filtration .pptx
Glomerular Filtration and  determinants of glomerular filtration .pptxGlomerular Filtration and  determinants of glomerular filtration .pptx
Glomerular Filtration and determinants of glomerular filtration .pptx
 
Call Girls Thane Just Call 9910780858 Get High Class Call Girls Service
Call Girls Thane Just Call 9910780858 Get High Class Call Girls ServiceCall Girls Thane Just Call 9910780858 Get High Class Call Girls Service
Call Girls Thane Just Call 9910780858 Get High Class Call Girls Service
 
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
 
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in green park  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in green park DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
 
Air-Hostess Call Girls Madambakkam - Phone No 7001305949 For Ultimate Sexual ...
Air-Hostess Call Girls Madambakkam - Phone No 7001305949 For Ultimate Sexual ...Air-Hostess Call Girls Madambakkam - Phone No 7001305949 For Ultimate Sexual ...
Air-Hostess Call Girls Madambakkam - Phone No 7001305949 For Ultimate Sexual ...
 
Call Girls Jayanagar Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Jayanagar Just Call 7001305949 Top Class Call Girl Service AvailableCall Girls Jayanagar Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Jayanagar Just Call 7001305949 Top Class Call Girl Service Available
 
See the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy PlatformSee the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy Platform
 

Semantic Networks of Interests in Online NSSI Communities

  • 1. Semantic Networks of Interests in Online NSSI Communities A Case Study in Mining Pathological Adolescent Minds Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Mathematics and Computer Science Department, Psychology Department Suffolk University, Boston June 22, 2012
  • 2. What Is NSSI? Non-suicidal self-injury (NSSI) is the direct, deliberate destruction of one’s own body tissue in the absence of suicidal intent. It is practiced primarily by adolescents and young adults and is often concealed from others. Common NSSI activities include skin cutting, banging or hitting oneself, and burns. Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 3. Why NSSI Matters? 14% to 21% of adolescents and 17% to 25% of young adults have engaged in NSSI at some point in their lives NSSI is repeatedly found to be associated with significant emotional and behavioral dysfunction (e.g., eating disorders, suicide). Can we identify NSSI persons by automatically analyzing secondary data publicly available from massive online social networks (MOSN)? Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 4. NSSI and Massive Online Social Networks Many popular MOSNs (e.g., Facebook and LiveJournal) allow users to declare their interests. Associations between interest lists and NSSI community membership suggest that “likes” or interest lists may be serving as identity signals. Profile page with interests of a random NSSI LiveJournal user: Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 5. NSSI Communities in LiveJournal LiveJournal[.com] is a popular massive online blogging social network site (BSN)—a bimodal venue where users engage in both publishing and social activities. Bloggers can form contact lists, subscribe to their friends’ blogs, comment on selected blog posts, declare interests, and participate in communities—collective blogs. 32 mln individual and community accounts. 43 identified NSSI-related communities (some of them promote NSSI activities, while others advocate for NSSI abstinence) with 22,000 members and/or posters. The total number of harvested interests is ∼150,000, including misspelled, abbreviated, and hyphenated variants. Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 6. Users and Interests M is the adjacency matrix of a two-mode network of the NSSI users and their interests: Mij = 1 0 iff user Ui declares interest Vj else Should we use Pearson correlation (a.k.a. cosine distance) to calculate similarities of interests? Yes—if all users were different. However, a thematic community is likely to be more homogeneous than a random group of users. Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 7. Kova´z Correlations c B. Kova´z: “Two terms are similar with correlation Θij ∈ [−1, 1] if they c are used by similar people; two people are similar with correlation Φij ∈ [−1, 1] if they use similar terms.” (We calculate Φ but do not use it.) Initialize: Mi = Mi, − Mi, Mj = M ,j −M ,j Θij,0 = Φij,0 = δij Iterate: Θij,k+1 = Mi Φk MjT / Mi Φk MiT (M j Φk M jT ) Φij,k+1 = MiT Θk Mj / MiT Θk Mi (M jT Θk M j ) Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 8. From Θ to an Adjacency Matrix Θ is a dense symmetric signed square matrix with few or no zero terms. The distribution of Θij is close to uniform. Restricted to the top 600 most often declared interests (due to computational resources). Convert Θ to a sparse adjacency matrix Ψ: Ψij = Θij 0 Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman if Θij ≥ 0.8 else Semantic Networks of Interests in Online NSSI Communities
  • 9. Semantic Map, as Seen by Gephi Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 10. Clustering Four major clusters: “music” (MUS), “pathology” (PAT), “daily life/emotions” (DLE), and “creativity” (CRE). Examples of terms: MUS: atreyu, him, incubus, korn, my chemical romance, nirvana, rancid, system of a down, the perfect circle; PAT: alcohol, anorexia, bulimia, burning, cutting, handcuffs, pain, self-injury and self-mutilation (both with and without the dash), spikes, weeds; DLE: cameras, cloths, dvds, flirting, flowers, fun, quotes, smiling, hearts (also as an HTML entity ♥ and as ♥); CRE: astrology, books, languages, philosophy, psychology, shakespeare, sociology, travel, wine. Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 11. Bridges The border zones are spanned with few bridge interests: PAT/MUS: (black) eyeliner, girl interrupted, metal; PAT/DLE: candy, girls, insomnia, red, rock music, sex; MUS/DLE: animals, camping, fashion, games, honesty, humor, travel(l)ing; All clusters: bands, bracelets, hoodies, lesbians, making out. Can these bridges be viewed as NSSI “beacons?” Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 12. Pathology Cluster The blowout of the PAT cluster: (A link between two interests means many people often mention these interests together.) Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 13. Are the Links NSSI Specific? Compare the NSSI communities to a random sample of LiveJournal users—doesn’t work, they share very few interests! Find appropriate communities that may share interests with the NSSI population: SMM “sexy-mood-music” (6,700 members, average age 25 years, music), M15M “movies-in-fifteen-minutes” (13,300 members, average age 28 years, video fans). Calculate the intersection between the NSSI semantic network and each of the other semantic networks under consideration. The intersection contains the associations that are significant for both communities and presumably are pathology-free. Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 14. Pathology-Free Networks Intersection of the NSSI and SMM networks: Well-defined CRE and DLE clusters. The MUS cluster is sparse and subdivided into movies and proper music. The PAT cluster is gone! Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 15. Leisure on Their Mind Our findings appear indicative of the growing global middle-class youth culture revolving around leisure activities (e.g., music, art) reflecting adolescent development in internationally-connected networks. This is supported by the similarities between the NSSI interested communities and the non-pathological comparison communities. Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 16. Conclusions We constructed a semantic network of interests declared by non-suicidal self-injury (NSSI) bloggers of LiveJournal. The network consists of four clearly separated interest clusters corresponding to the pathological terms, daily life, popular music, and creativity. The interests that bridge gaps between the pathology cluster and the other three clusters can be used as beacons signaling the potential presence of an NSSI behavior. The extent of MOSN NSSI-related communities on LiveJournal could evidence the limited opportunities for social networking among people. Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities
  • 17. Thanks! This research has been supported in part by the College of Arts and Sciences, Suffolk University, through an undergraduate research assistantship grant. The authors are grateful to Zo¨ Wells of Suffolk University for preliminary e data collection and Dr. Jim Hollander and Prof. John Boyd for suggestions on combining graphs. Dmitry Zinoviev, Dan Stefanescu, Lance Swenson, Gary Fireman Semantic Networks of Interests in Online NSSI Communities