SlideShare ist ein Scribd-Unternehmen logo
1 von 21
Guido Borà
guido.bora @ unisi.it
University of Siena
2013 Siena Workshop @ Rutgers
04/05/2013

There is a considerable literature based on Social Networks sites
(SNs) where the objective is to study the effects of interactions
between users, for example friendship, classmate, roommate
and tastes. (Lewis and Kaufman et al. 2008) (Jaxkson and Pin et
al. 2009)
According to the seminal literature (Lazarsfeld and Merton
1954, McPherson et al. 2001) individuals with similar attributes
tend to end up together, this phenomenon is known as
homophily which is Summarized by the famous proverb "Birds
of a feather flock together".
These studies had the advantage of extracting hidden structures
and complex social ties however is still unclear, the cognitive
impact of communication in the interaction between individuals
(Chelmis and Prasanna 2011) and what is its influence on some
aspects of students' everyday life:
friendships, performance, sport and segregation of certain
minorities.

2013 Siena Workshop at Rutgers
04/05/2013

» Organization of lotteries with rewards (beauty
contest and quizzes) and analysis of results
» Study of, as permitted by the Privacy Act ,of
tobacco (or alcohol) consumption
» Analysis of influences on sport
» Study of users communication through the analysis
of the texts of the messages and posts
» Study of the influence of friendship on the social
network on school performance
» Study of segregation (32% of the students are
children of immigrants)

2013 Siena Workshop at Rutgers
04/05/2013

» Attributes in the explanation of social behavior
» Availability of longitudinal data
» Possibility to collect dynamic data on multiple
social relationships
» Control effects of segregation
» Text mining for semantic analysis and impact of
content analysis

2013 Siena Workshop at Rutgers
In December 2012 we installed at Tito Sarrocchi , an high school of Siena, a
platform Facebook like (based on the Elgg open source software) named MyTito.
The school currently has 1,600 students. All students are registered by default.
After 3 months, active users to the social network are 253.
N
59
49
59
42
38
253

04/05/2013

Class
I
II
III
IV
V
Total
Mean Age

2013 Siena Workshop at Rutgers

%
23%
19%
23%
17%
15%
100%
15,4

Gender

Immigrants

67

9

26,5%

29,0%

Male

186

22

%
Total

73,5%
253

71,0%
31

Female
%
04/05/2013

Sarrocchi representative students periodically organize meetings to explain
to their colleague how MyTyto works. The peaks correspond to those
days. Between February and March there was a slight growth in traffic.

2013 Siena Workshop at Rutgers
04/05/2013

22% of users have only a friend on MyTito Social Network site SNs
2013 Siena Workshop at Rutgers
04/05/2013

Density no loops = 0.02169245

2013 Siena Workshop at Rutgers
04/05/2013

» It is not a complete network (in the original
design we wanted to start with a complete
network in which the friendship decayed if
inactive after a period of time)
» It is a multicentric network (groupings between
classes)
» The network stops with a friendship is not
reciprocated
» It is not a dense network

2013 Siena Workshop at Rutgers
04/05/2013

» Communication barriers between the classes
(despite the class representatives hoped that
the social network could help new friendships)
» No interaction with other social network sites
» Facebook competition (Why do invent the
wheel again?)
» Declared uselessness of tool

2013 Siena Workshop at Rutgers
04/05/2013

2013 Siena Workshop at Rutgers
04/05/2013

We do not observe the phenomenon of
segregation.
» The Average Degree (AD) of the network is
equal to 10.97 against the AD of nodes
represented by the immigrants is 7.04
» Furthermore the AD of the partition of only
immigrants is equal to 2.58

2013 Siena Workshop at Rutgers
04/05/2013

2013 Siena Workshop at Rutgers
04/05/2013

A 3-core analysis confirms the polarization into
classes. Complete triads are mainly within the
classroom

2013 Siena Workshop at Rutgers
04/05/2013

2013 Siena Workshop at Rutgers
04/05/2013

Analyze the influences of communication between
users according to their level of awareness of
communication. This communication lines are
characterized by an increasing intensity of relationship
which can be defined on three levels:
» the first level, friendship, is characterized by a low
cognitive involvement;
» the level of private messages is characterized by an
intermediate level of articulation;
» the interaction on the wall is characterized by a
high level of awareness especially if repeated over
time.

2013 Siena Workshop at Rutgers
The objective of the PCA is to determine the relevant
base of reference to represent the data and filter the
noise hoping that this new base filters the noise and
reveals previously invisible structures
A. PCA is a linear transformation of the data:
1.
2.

Minimize the redundancy measured by the covariance
Maximize the information, as measured by the variance.

B. The Principal Components (PC) are new variables
that have the following properties:

04/05/2013

1. Each PC is a linear combination of the original variables
2. The PC are between them orthogonal, or are mutually
uncorrelated, removing the redundant information,

2013 Siena Workshop at Rutgers
The PCA provides an alternative explanation of
the observed variability with the advantage of
describing the phenomena by unrelated
dimensions and ordered in terms of their
importance in explanation.
This allows to:
1.

04/05/2013

2.

To interpret the phenomenon through the new meaning assumed
by the main components that have not been discarded
to reduce the number of variables to consider, discarding the latest
main components, which less contribute to observed variability

2013 Siena Workshop at Rutgers
04/05/2013

Identification of three components in which to divide the text of messages where only
one is clearly linked to a set of words related to the installation of the platform

Once identified the components, they should be associated with a lexicon and an
ontology

2013 Siena Workshop at Rutgers
04/05/2013

This field experiment although preliminary, has
promising results. Although in the absence of
further qualitative information, data collected
allow us to remarks:
1. The network is partitioned between classes
(this is not sufficient to confirm Homopily)
2. Absence of segregation
3. Content analysis broadly confirmed when
users are focused on particular topics

2013 Siena Workshop at Rutgers
04/05/2013

» To develop APIs connection between MyTito
SNs and Facebook or other SNs
» To build a network with the texts of messages
and posts. It requires a categorization with
which to divide the network into semantic
clusters
» To overlay network users with the semantic one

2013 Siena Workshop at Rutgers

Weitere ähnliche Inhalte

Was ist angesagt?

02 Network Data Collection
02 Network Data Collection02 Network Data Collection
02 Network Data Collectiondnac
 
Group and Community Detection in Social Networks
Group and Community Detection in Social NetworksGroup and Community Detection in Social Networks
Group and Community Detection in Social NetworksKent State University
 
Current trends of opinion mining and sentiment analysis in social networks
Current trends of opinion mining and sentiment analysis in social networksCurrent trends of opinion mining and sentiment analysis in social networks
Current trends of opinion mining and sentiment analysis in social networkseSAT Publishing House
 
Learning Social Networks From Web Documents Using Support
Learning Social Networks From Web Documents Using SupportLearning Social Networks From Web Documents Using Support
Learning Social Networks From Web Documents Using Supportceya
 
Community Detection in Social Networks: A Brief Overview
Community Detection in Social Networks: A Brief OverviewCommunity Detection in Social Networks: A Brief Overview
Community Detection in Social Networks: A Brief OverviewSatyaki Sikdar
 
LAK13 Tutorial Social Network Analysis 4 Learning Analytics
LAK13 Tutorial Social Network Analysis 4 Learning AnalyticsLAK13 Tutorial Social Network Analysis 4 Learning Analytics
LAK13 Tutorial Social Network Analysis 4 Learning Analyticsgoehnert
 
03 Ego Network Analysis
03 Ego Network Analysis03 Ego Network Analysis
03 Ego Network Analysisdnac
 
The Basics of Social Network Analysis
The Basics of Social Network AnalysisThe Basics of Social Network Analysis
The Basics of Social Network AnalysisRory Sie
 
Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...
Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...
Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...Denis Parra Santander
 
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...Xiaohan Zeng
 
Social Network Visualization 101
Social Network Visualization 101Social Network Visualization 101
Social Network Visualization 101librarianrafia
 
Social network analysis course 2010 - 2011
Social network analysis course 2010 - 2011Social network analysis course 2010 - 2011
Social network analysis course 2010 - 2011guillaume ereteo
 
01 Introduction to Networks Methods and Measures
01 Introduction to Networks Methods and Measures01 Introduction to Networks Methods and Measures
01 Introduction to Networks Methods and Measuresdnac
 
00 Automatic Mental Health Classification in Online Settings and Language Emb...
00 Automatic Mental Health Classification in Online Settings and Language Emb...00 Automatic Mental Health Classification in Online Settings and Language Emb...
00 Automatic Mental Health Classification in Online Settings and Language Emb...Duke Network Analysis Center
 
04 Diffusion and Peer Influence
04 Diffusion and Peer Influence04 Diffusion and Peer Influence
04 Diffusion and Peer Influencednac
 

Was ist angesagt? (19)

02 Network Data Collection
02 Network Data Collection02 Network Data Collection
02 Network Data Collection
 
02 Descriptive Statistics (2017)
02 Descriptive Statistics (2017)02 Descriptive Statistics (2017)
02 Descriptive Statistics (2017)
 
Group and Community Detection in Social Networks
Group and Community Detection in Social NetworksGroup and Community Detection in Social Networks
Group and Community Detection in Social Networks
 
Current trends of opinion mining and sentiment analysis in social networks
Current trends of opinion mining and sentiment analysis in social networksCurrent trends of opinion mining and sentiment analysis in social networks
Current trends of opinion mining and sentiment analysis in social networks
 
Learning Social Networks From Web Documents Using Support
Learning Social Networks From Web Documents Using SupportLearning Social Networks From Web Documents Using Support
Learning Social Networks From Web Documents Using Support
 
05 Network Canvas (2017)
05 Network Canvas (2017)05 Network Canvas (2017)
05 Network Canvas (2017)
 
Community Detection in Social Networks: A Brief Overview
Community Detection in Social Networks: A Brief OverviewCommunity Detection in Social Networks: A Brief Overview
Community Detection in Social Networks: A Brief Overview
 
LAK13 Tutorial Social Network Analysis 4 Learning Analytics
LAK13 Tutorial Social Network Analysis 4 Learning AnalyticsLAK13 Tutorial Social Network Analysis 4 Learning Analytics
LAK13 Tutorial Social Network Analysis 4 Learning Analytics
 
18 Diffusion Models and Peer Influence
18 Diffusion Models and Peer Influence18 Diffusion Models and Peer Influence
18 Diffusion Models and Peer Influence
 
03 Ego Network Analysis
03 Ego Network Analysis03 Ego Network Analysis
03 Ego Network Analysis
 
06 Community Detection
06 Community Detection06 Community Detection
06 Community Detection
 
The Basics of Social Network Analysis
The Basics of Social Network AnalysisThe Basics of Social Network Analysis
The Basics of Social Network Analysis
 
Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...
Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...
Network Visualization guest lecture at #DataVizQMSS at @Columbia / #SNA at PU...
 
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...
Social Network Analysis: What It Is, Why We Should Care, and What We Can Lear...
 
Social Network Visualization 101
Social Network Visualization 101Social Network Visualization 101
Social Network Visualization 101
 
Social network analysis course 2010 - 2011
Social network analysis course 2010 - 2011Social network analysis course 2010 - 2011
Social network analysis course 2010 - 2011
 
01 Introduction to Networks Methods and Measures
01 Introduction to Networks Methods and Measures01 Introduction to Networks Methods and Measures
01 Introduction to Networks Methods and Measures
 
00 Automatic Mental Health Classification in Online Settings and Language Emb...
00 Automatic Mental Health Classification in Online Settings and Language Emb...00 Automatic Mental Health Classification in Online Settings and Language Emb...
00 Automatic Mental Health Classification in Online Settings and Language Emb...
 
04 Diffusion and Peer Influence
04 Diffusion and Peer Influence04 Diffusion and Peer Influence
04 Diffusion and Peer Influence
 

Ähnlich wie Presentation rutgers

Do Doctoral Students Use an Online Network for Mentoring?
Do Doctoral Students Use an Online Network for Mentoring?Do Doctoral Students Use an Online Network for Mentoring?
Do Doctoral Students Use an Online Network for Mentoring?Alana James
 
Analysis Of A Learning Community As A Social Network
Analysis Of A Learning Community As A Social NetworkAnalysis Of A Learning Community As A Social Network
Analysis Of A Learning Community As A Social NetworkMaria Perkins
 
Identifying students’ profiles for MOOCs – a social media analysis
Identifying students’ profiles for MOOCs – a social media analysisIdentifying students’ profiles for MOOCs – a social media analysis
Identifying students’ profiles for MOOCs – a social media analysisGabriela Grosseck
 
Multimode network based efficient and scalable learning of collective behavior
Multimode network based efficient and scalable learning of collective behaviorMultimode network based efficient and scalable learning of collective behavior
Multimode network based efficient and scalable learning of collective behaviorIAEME Publication
 
Application of Significance Tests to Massive Open Online Courses (MOOCs)
Application of Significance Tests to Massive Open Online Courses (MOOCs)Application of Significance Tests to Massive Open Online Courses (MOOCs)
Application of Significance Tests to Massive Open Online Courses (MOOCs)FutureLearn FLAN
 
Dissertation Executive Summary
Dissertation Executive SummaryDissertation Executive Summary
Dissertation Executive SummaryThomas Odell
 
Social Networking Sites in Learning Environments: What Students Want?
Social Networking Sites in Learning Environments:  What Students Want?Social Networking Sites in Learning Environments:  What Students Want?
Social Networking Sites in Learning Environments: What Students Want?Plamen Miltenoff
 
Are You Feeling Lonely The Impact ofRelationship Characteri.docx
Are You Feeling Lonely The Impact ofRelationship Characteri.docxAre You Feeling Lonely The Impact ofRelationship Characteri.docx
Are You Feeling Lonely The Impact ofRelationship Characteri.docxrossskuddershamus
 
Social implications of social networking sites
Social implications of social networking sitesSocial implications of social networking sites
Social implications of social networking sitesPetter Bae Brandtzæg
 
MIL Activity, References, Reading M.pptx
MIL Activity, References, Reading M.pptxMIL Activity, References, Reading M.pptx
MIL Activity, References, Reading M.pptxAdrianCatapat1
 
Effect of Multitasking on GPA - Research Paper
Effect of Multitasking on GPA - Research PaperEffect of Multitasking on GPA - Research Paper
Effect of Multitasking on GPA - Research PaperDivya Kothari
 
The Collaborative Language Learning Attributes of Cyber Face to-face Interact...
The Collaborative Language Learning Attributes of Cyber Face to-face Interact...The Collaborative Language Learning Attributes of Cyber Face to-face Interact...
The Collaborative Language Learning Attributes of Cyber Face to-face Interact...wanzahirah
 
EFFECT OF SOCIAL MEDIA ON STUDENT’S ACADEMIC PERFORMANCE IN FEDERAL UNIVERSIT...
EFFECT OF SOCIAL MEDIA ON STUDENT’S ACADEMIC PERFORMANCE IN FEDERAL UNIVERSIT...EFFECT OF SOCIAL MEDIA ON STUDENT’S ACADEMIC PERFORMANCE IN FEDERAL UNIVERSIT...
EFFECT OF SOCIAL MEDIA ON STUDENT’S ACADEMIC PERFORMANCE IN FEDERAL UNIVERSIT...JoshuaAlexMbaya
 
Stewart, benjamin english language educators and technology ije v5 n1 20...
Stewart, benjamin english language educators and technology ije v5 n1 20...Stewart, benjamin english language educators and technology ije v5 n1 20...
Stewart, benjamin english language educators and technology ije v5 n1 20...William Kritsonis
 
Stewart, benjamin english language educators and technology ije v5 n1 20...
Stewart, benjamin english language educators and technology ije v5 n1 20...Stewart, benjamin english language educators and technology ije v5 n1 20...
Stewart, benjamin english language educators and technology ije v5 n1 20...William Kritsonis
 
LEARNER CENTERED NETWORK MODELS: A SURVEY
LEARNER CENTERED NETWORK MODELS: A SURVEYLEARNER CENTERED NETWORK MODELS: A SURVEY
LEARNER CENTERED NETWORK MODELS: A SURVEYIJITE
 
MODELING THE CAUSAL RELATIONS BETWEEN MIND WANDERING, DIGITAL READINESS AND A...
MODELING THE CAUSAL RELATIONS BETWEEN MIND WANDERING, DIGITAL READINESS AND A...MODELING THE CAUSAL RELATIONS BETWEEN MIND WANDERING, DIGITAL READINESS AND A...
MODELING THE CAUSAL RELATIONS BETWEEN MIND WANDERING, DIGITAL READINESS AND A...indexPub
 
Grev 721 article presentation
Grev 721 article presentationGrev 721 article presentation
Grev 721 article presentationemtinanalqurashi
 

Ähnlich wie Presentation rutgers (20)

Do Doctoral Students Use an Online Network for Mentoring?
Do Doctoral Students Use an Online Network for Mentoring?Do Doctoral Students Use an Online Network for Mentoring?
Do Doctoral Students Use an Online Network for Mentoring?
 
Analysis Of A Learning Community As A Social Network
Analysis Of A Learning Community As A Social NetworkAnalysis Of A Learning Community As A Social Network
Analysis Of A Learning Community As A Social Network
 
Identifying students’ profiles for MOOCs – a social media analysis
Identifying students’ profiles for MOOCs – a social media analysisIdentifying students’ profiles for MOOCs – a social media analysis
Identifying students’ profiles for MOOCs – a social media analysis
 
Multimode network based efficient and scalable learning of collective behavior
Multimode network based efficient and scalable learning of collective behaviorMultimode network based efficient and scalable learning of collective behavior
Multimode network based efficient and scalable learning of collective behavior
 
Scalable
ScalableScalable
Scalable
 
DCLA14_Haythornthwaite_Absar_Paulin
DCLA14_Haythornthwaite_Absar_PaulinDCLA14_Haythornthwaite_Absar_Paulin
DCLA14_Haythornthwaite_Absar_Paulin
 
Application of Significance Tests to Massive Open Online Courses (MOOCs)
Application of Significance Tests to Massive Open Online Courses (MOOCs)Application of Significance Tests to Massive Open Online Courses (MOOCs)
Application of Significance Tests to Massive Open Online Courses (MOOCs)
 
Dissertation Executive Summary
Dissertation Executive SummaryDissertation Executive Summary
Dissertation Executive Summary
 
Social Networking Sites in Learning Environments: What Students Want?
Social Networking Sites in Learning Environments:  What Students Want?Social Networking Sites in Learning Environments:  What Students Want?
Social Networking Sites in Learning Environments: What Students Want?
 
Are You Feeling Lonely The Impact ofRelationship Characteri.docx
Are You Feeling Lonely The Impact ofRelationship Characteri.docxAre You Feeling Lonely The Impact ofRelationship Characteri.docx
Are You Feeling Lonely The Impact ofRelationship Characteri.docx
 
Social implications of social networking sites
Social implications of social networking sitesSocial implications of social networking sites
Social implications of social networking sites
 
MIL Activity, References, Reading M.pptx
MIL Activity, References, Reading M.pptxMIL Activity, References, Reading M.pptx
MIL Activity, References, Reading M.pptx
 
Effect of Multitasking on GPA - Research Paper
Effect of Multitasking on GPA - Research PaperEffect of Multitasking on GPA - Research Paper
Effect of Multitasking on GPA - Research Paper
 
The Collaborative Language Learning Attributes of Cyber Face to-face Interact...
The Collaborative Language Learning Attributes of Cyber Face to-face Interact...The Collaborative Language Learning Attributes of Cyber Face to-face Interact...
The Collaborative Language Learning Attributes of Cyber Face to-face Interact...
 
EFFECT OF SOCIAL MEDIA ON STUDENT’S ACADEMIC PERFORMANCE IN FEDERAL UNIVERSIT...
EFFECT OF SOCIAL MEDIA ON STUDENT’S ACADEMIC PERFORMANCE IN FEDERAL UNIVERSIT...EFFECT OF SOCIAL MEDIA ON STUDENT’S ACADEMIC PERFORMANCE IN FEDERAL UNIVERSIT...
EFFECT OF SOCIAL MEDIA ON STUDENT’S ACADEMIC PERFORMANCE IN FEDERAL UNIVERSIT...
 
Stewart, benjamin english language educators and technology ije v5 n1 20...
Stewart, benjamin english language educators and technology ije v5 n1 20...Stewart, benjamin english language educators and technology ije v5 n1 20...
Stewart, benjamin english language educators and technology ije v5 n1 20...
 
Stewart, benjamin english language educators and technology ije v5 n1 20...
Stewart, benjamin english language educators and technology ije v5 n1 20...Stewart, benjamin english language educators and technology ije v5 n1 20...
Stewart, benjamin english language educators and technology ije v5 n1 20...
 
LEARNER CENTERED NETWORK MODELS: A SURVEY
LEARNER CENTERED NETWORK MODELS: A SURVEYLEARNER CENTERED NETWORK MODELS: A SURVEY
LEARNER CENTERED NETWORK MODELS: A SURVEY
 
MODELING THE CAUSAL RELATIONS BETWEEN MIND WANDERING, DIGITAL READINESS AND A...
MODELING THE CAUSAL RELATIONS BETWEEN MIND WANDERING, DIGITAL READINESS AND A...MODELING THE CAUSAL RELATIONS BETWEEN MIND WANDERING, DIGITAL READINESS AND A...
MODELING THE CAUSAL RELATIONS BETWEEN MIND WANDERING, DIGITAL READINESS AND A...
 
Grev 721 article presentation
Grev 721 article presentationGrev 721 article presentation
Grev 721 article presentation
 

Mehr von Guido Borà

Commento dati 2007-2015
Commento dati 2007-2015Commento dati 2007-2015
Commento dati 2007-2015Guido Borà
 
Modelli di Sviluppo delle Città d'Arte - II Rapporto
Modelli di Sviluppo delle Città d'Arte - II RapportoModelli di Sviluppo delle Città d'Arte - II Rapporto
Modelli di Sviluppo delle Città d'Arte - II RapportoGuido Borà
 
Presentazione bn
Presentazione bnPresentazione bn
Presentazione bnGuido Borà
 
Modelli di sviluppo delle città d'arte
Modelli di sviluppo delle città d'arteModelli di sviluppo delle città d'arte
Modelli di sviluppo delle città d'arteGuido Borà
 
Relazione Progetto Sarrocchi
Relazione Progetto SarrocchiRelazione Progetto Sarrocchi
Relazione Progetto SarrocchiGuido Borà
 
Presentazione band reputation maremma
Presentazione band reputation maremmaPresentazione band reputation maremma
Presentazione band reputation maremmaGuido Borà
 

Mehr von Guido Borà (7)

Commento dati 2007-2015
Commento dati 2007-2015Commento dati 2007-2015
Commento dati 2007-2015
 
Modelli di Sviluppo delle Città d'Arte - II Rapporto
Modelli di Sviluppo delle Città d'Arte - II RapportoModelli di Sviluppo delle Città d'Arte - II Rapporto
Modelli di Sviluppo delle Città d'Arte - II Rapporto
 
Presentazione bn
Presentazione bnPresentazione bn
Presentazione bn
 
Modelli di sviluppo delle città d'arte
Modelli di sviluppo delle città d'arteModelli di sviluppo delle città d'arte
Modelli di sviluppo delle città d'arte
 
Tavarnelle abr
Tavarnelle abrTavarnelle abr
Tavarnelle abr
 
Relazione Progetto Sarrocchi
Relazione Progetto SarrocchiRelazione Progetto Sarrocchi
Relazione Progetto Sarrocchi
 
Presentazione band reputation maremma
Presentazione band reputation maremmaPresentazione band reputation maremma
Presentazione band reputation maremma
 

Kürzlich hochgeladen

The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
The byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxThe byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxShobhayan Kirtania
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...Pooja Nehwal
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfchloefrazer622
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajanpragatimahajan3
 

Kürzlich hochgeladen (20)

The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
The byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxThe byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptx
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdf
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajan
 

Presentation rutgers

  • 1. Guido Borà guido.bora @ unisi.it University of Siena 2013 Siena Workshop @ Rutgers
  • 2. 04/05/2013 There is a considerable literature based on Social Networks sites (SNs) where the objective is to study the effects of interactions between users, for example friendship, classmate, roommate and tastes. (Lewis and Kaufman et al. 2008) (Jaxkson and Pin et al. 2009) According to the seminal literature (Lazarsfeld and Merton 1954, McPherson et al. 2001) individuals with similar attributes tend to end up together, this phenomenon is known as homophily which is Summarized by the famous proverb "Birds of a feather flock together". These studies had the advantage of extracting hidden structures and complex social ties however is still unclear, the cognitive impact of communication in the interaction between individuals (Chelmis and Prasanna 2011) and what is its influence on some aspects of students' everyday life: friendships, performance, sport and segregation of certain minorities. 2013 Siena Workshop at Rutgers
  • 3. 04/05/2013 » Organization of lotteries with rewards (beauty contest and quizzes) and analysis of results » Study of, as permitted by the Privacy Act ,of tobacco (or alcohol) consumption » Analysis of influences on sport » Study of users communication through the analysis of the texts of the messages and posts » Study of the influence of friendship on the social network on school performance » Study of segregation (32% of the students are children of immigrants) 2013 Siena Workshop at Rutgers
  • 4. 04/05/2013 » Attributes in the explanation of social behavior » Availability of longitudinal data » Possibility to collect dynamic data on multiple social relationships » Control effects of segregation » Text mining for semantic analysis and impact of content analysis 2013 Siena Workshop at Rutgers
  • 5. In December 2012 we installed at Tito Sarrocchi , an high school of Siena, a platform Facebook like (based on the Elgg open source software) named MyTito. The school currently has 1,600 students. All students are registered by default. After 3 months, active users to the social network are 253. N 59 49 59 42 38 253 04/05/2013 Class I II III IV V Total Mean Age 2013 Siena Workshop at Rutgers % 23% 19% 23% 17% 15% 100% 15,4 Gender Immigrants 67 9 26,5% 29,0% Male 186 22 % Total 73,5% 253 71,0% 31 Female %
  • 6. 04/05/2013 Sarrocchi representative students periodically organize meetings to explain to their colleague how MyTyto works. The peaks correspond to those days. Between February and March there was a slight growth in traffic. 2013 Siena Workshop at Rutgers
  • 7. 04/05/2013 22% of users have only a friend on MyTito Social Network site SNs 2013 Siena Workshop at Rutgers
  • 8. 04/05/2013 Density no loops = 0.02169245 2013 Siena Workshop at Rutgers
  • 9. 04/05/2013 » It is not a complete network (in the original design we wanted to start with a complete network in which the friendship decayed if inactive after a period of time) » It is a multicentric network (groupings between classes) » The network stops with a friendship is not reciprocated » It is not a dense network 2013 Siena Workshop at Rutgers
  • 10. 04/05/2013 » Communication barriers between the classes (despite the class representatives hoped that the social network could help new friendships) » No interaction with other social network sites » Facebook competition (Why do invent the wheel again?) » Declared uselessness of tool 2013 Siena Workshop at Rutgers
  • 12. 04/05/2013 We do not observe the phenomenon of segregation. » The Average Degree (AD) of the network is equal to 10.97 against the AD of nodes represented by the immigrants is 7.04 » Furthermore the AD of the partition of only immigrants is equal to 2.58 2013 Siena Workshop at Rutgers
  • 14. 04/05/2013 A 3-core analysis confirms the polarization into classes. Complete triads are mainly within the classroom 2013 Siena Workshop at Rutgers
  • 16. 04/05/2013 Analyze the influences of communication between users according to their level of awareness of communication. This communication lines are characterized by an increasing intensity of relationship which can be defined on three levels: » the first level, friendship, is characterized by a low cognitive involvement; » the level of private messages is characterized by an intermediate level of articulation; » the interaction on the wall is characterized by a high level of awareness especially if repeated over time. 2013 Siena Workshop at Rutgers
  • 17. The objective of the PCA is to determine the relevant base of reference to represent the data and filter the noise hoping that this new base filters the noise and reveals previously invisible structures A. PCA is a linear transformation of the data: 1. 2. Minimize the redundancy measured by the covariance Maximize the information, as measured by the variance. B. The Principal Components (PC) are new variables that have the following properties: 04/05/2013 1. Each PC is a linear combination of the original variables 2. The PC are between them orthogonal, or are mutually uncorrelated, removing the redundant information, 2013 Siena Workshop at Rutgers
  • 18. The PCA provides an alternative explanation of the observed variability with the advantage of describing the phenomena by unrelated dimensions and ordered in terms of their importance in explanation. This allows to: 1. 04/05/2013 2. To interpret the phenomenon through the new meaning assumed by the main components that have not been discarded to reduce the number of variables to consider, discarding the latest main components, which less contribute to observed variability 2013 Siena Workshop at Rutgers
  • 19. 04/05/2013 Identification of three components in which to divide the text of messages where only one is clearly linked to a set of words related to the installation of the platform Once identified the components, they should be associated with a lexicon and an ontology 2013 Siena Workshop at Rutgers
  • 20. 04/05/2013 This field experiment although preliminary, has promising results. Although in the absence of further qualitative information, data collected allow us to remarks: 1. The network is partitioned between classes (this is not sufficient to confirm Homopily) 2. Absence of segregation 3. Content analysis broadly confirmed when users are focused on particular topics 2013 Siena Workshop at Rutgers
  • 21. 04/05/2013 » To develop APIs connection between MyTito SNs and Facebook or other SNs » To build a network with the texts of messages and posts. It requires a categorization with which to divide the network into semantic clusters » To overlay network users with the semantic one 2013 Siena Workshop at Rutgers