The emerging field of computational social science (CSS) is devoted to the pursuit of interdisciplinary social science research from an information processing perspective, through the medium of advanced computing and information technologies.
The fourth paradigm: data intensive scientific discovery - Jisc Digifest 2016Jisc
There is broad recognition within the scientific community that the emerging data deluge will fundamentally alter disciplines in areas throughout academic research. A wide variety of researchers - from scientists and engineers to social scientists and humanities researchers - will require tools, technologies, and platforms that seamlessly integrate into standard scientific methodologies and processes.
'The fourth paradigm' refers to the data management techniques and the computational systems needed to manipulate, visualize, and manage large amounts of research data. This talk will illustrate the challenges researchers will face, the opportunities these changes will afford, and the resulting implications for data-intensive researchers.
In addition, the talk will review the global movement towards open access, research repositories and open science and the importance of curation of digital data. The talk concludes with some comments on the research requirements for campus e-infrastructure and the end-to-end performance of the network.
Ethics in Data Science and Machine LearningHJ van Veen
Introduction and overview on ethics in data science and machine learning, variations and examples of algorithmic bias, and a call-to-action for self-regulation. Given by Thierry Silbermann as part of the Sao Paulo Machine Learning Meetup, theme: "Ethics".
https://www.linkedin.com/in/thierrysilbermann
https://twitter.com/silbermannt
https://github.com/thierry-silbermann
The fourth paradigm: data intensive scientific discovery - Jisc Digifest 2016Jisc
There is broad recognition within the scientific community that the emerging data deluge will fundamentally alter disciplines in areas throughout academic research. A wide variety of researchers - from scientists and engineers to social scientists and humanities researchers - will require tools, technologies, and platforms that seamlessly integrate into standard scientific methodologies and processes.
'The fourth paradigm' refers to the data management techniques and the computational systems needed to manipulate, visualize, and manage large amounts of research data. This talk will illustrate the challenges researchers will face, the opportunities these changes will afford, and the resulting implications for data-intensive researchers.
In addition, the talk will review the global movement towards open access, research repositories and open science and the importance of curation of digital data. The talk concludes with some comments on the research requirements for campus e-infrastructure and the end-to-end performance of the network.
Ethics in Data Science and Machine LearningHJ van Veen
Introduction and overview on ethics in data science and machine learning, variations and examples of algorithmic bias, and a call-to-action for self-regulation. Given by Thierry Silbermann as part of the Sao Paulo Machine Learning Meetup, theme: "Ethics".
https://www.linkedin.com/in/thierrysilbermann
https://twitter.com/silbermannt
https://github.com/thierry-silbermann
Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets. Machine learning for anomaly detection provides a promising alternative for the detection and classification of anomalies.
Find out how you can implement machine learning to increase speed and effectiveness in identifying and reporting anomalies.
In this webinar, we will discuss :
How machine learning can help in identifying anomalies
Steps to approach an anomaly detection problem
Various techniques available for anomaly detection
Best algorithms that fit in different situations
Implementing an anomaly detection use case on the StreamAnalytix platform
To view the webinar - https://bit.ly/2IV2ahC
Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. SNA provides both a visual and a mathematical analysis of human relationships.
Best Practices for Killer Data VisualizationQualtrics
There’s something special about simple, powerful visualizations that tell a story. In fact, 65% of people are visual learners.
Join Qualtrics and Sasha Pasulka from Tableau as we illuminate the world of data visualization and give you clear takeaways to help you tell a better story with data. Getting executive buy-in or that seat at the table may come down to who can visualize data in a way that excites and enlightens the audience.
Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets. Machine learning for anomaly detection provides a promising alternative for the detection and classification of anomalies.
Find out how you can implement machine learning to increase speed and effectiveness in identifying and reporting anomalies.
In this webinar, we will discuss :
How machine learning can help in identifying anomalies
Steps to approach an anomaly detection problem
Various techniques available for anomaly detection
Best algorithms that fit in different situations
Implementing an anomaly detection use case on the StreamAnalytix platform
To view the webinar - https://bit.ly/2IV2ahC
Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. SNA provides both a visual and a mathematical analysis of human relationships.
Best Practices for Killer Data VisualizationQualtrics
There’s something special about simple, powerful visualizations that tell a story. In fact, 65% of people are visual learners.
Join Qualtrics and Sasha Pasulka from Tableau as we illuminate the world of data visualization and give you clear takeaways to help you tell a better story with data. Getting executive buy-in or that seat at the table may come down to who can visualize data in a way that excites and enlightens the audience.
A brief introduction to network theory which introduces my COMM 620 MBA class to three different strands of research explaining the context within which digital tools are used.
2009 - Connected Action - Marc Smith - Social Media Network AnalysisMarc Smith
Review of social media network analysis of Internet social spaces like twitter, flickr, email, message boards, etc. Network analysis and visualization of social media collections of connections.
The social networks and the new social order between the individualized socia...INFOGAIN PUBLICATION
The new Social Networks (SN) evolved very quickly. They conquered of wide population as well in the cities as in the campaigns. They pushed aside values, attitudes, behavior…; In countries with strong social culture, they modified these values and modified the social rules formerly considered as unchanging.In this paper, an empirical study concerned the case of the Moroccans and their behavior with regard to the social networks in numerous domains as those of society, economy, consumption, social and societal relationships, information and communication, politics, etc. The traditional conventional social order is today in deep transformation. This paper contributes to the understanding of behavior change currently facing Moroccan society at all levels.The designers of software or applications bound to the social networks have to integrate these new behavior in their strategies.
An interactive presentation on social network theory and analysis. Content includes information on tie formation and social capital. Network relations are explained by using the example of The A Team. Granovetter's Strength of Weak Ties Theory (1973) is also covered and weak ties and strong ties are explained. Appropriate application of social network theory to individuals understanding how to best take advantage of social networking platforms to find jobs as well as companies taking advantage of social media platforms to find followers are introduced.
The Impacts of Social Networking and Its AnalysisIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
A high-level overview of social network analysis, providing background on how it came into the knowledge management field. Includes an example and core concepts pertinent to the audience, online community managers.
In this session, we talk about the mobile and social web, and how it shapes economy, individual behavior and well-being, political events, and society as a whole.
social networking individual vs. crowd behavior (connected intelligence)INFOGAIN PUBLICATION
The study of Human behavior is much more complicated in various situations, especially on the spectrum of Social Networks. The study of individual behavior cannot be replicated for a group/crowd behavior which can have many social and behavioral dimensions. In the connected world where intelligence is shared among individuals and groups, there exists another kind of complexity which needs to be examined.The complexity of human behaviors as an individual or as a group on the social networks is much more versatile and erratic. The research work studies and analyzes these behaviors in a connected networked intelligent environment and as to how these behaviors are reflected towards Connected Intelligence. Consequently it defines how they can affect the intelligent analytical outcomes. Finally it comes up with a generic model which can be applied in any setup.
In our dynamic session at Diet Ernakulam, we explored the transformative possibilities of integrating Artificial Intelligence (AI) in educational settings. The talk aimed to empower primary school educators with insights and practical strategies to leverage AI for an enriched learning experience. This talk marks the beginning of an ongoing conversation. The journey of integrating AI in classrooms is an evolving one, and we look forward to continued collaboration, exploration, and innovation in the intersection of education and technology.
Hold the vision, trust the process.”
.
Webinar on the topic "AI in Creative Space" organized by Dept of IT,𝐓𝐨𝐜 𝐇 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐨𝐟 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 on the banner of Techizer 𝟐𝟎𝟐𝟑 - the National level tech fest.
In this work, we proposed a new approach - semantic linguistic networks for identifying semantic patterns from the text corpus. It is a combination of linguistic analysis, semantic knowledge and complex network science concepts. It is a combination of graph theory and computer science. Full Paper Link -https://ieeexplore.ieee.org/document/8531016/
Introduction to Technology Assessments As tool for Forecasting and evaluation...Premsankar Chakkingal
TA is a scientific, interactive and communicative process, which aims to contribute to the formation of public and political opinion on societal aspects of science and technology
Your Path to YouTube Stardom Starts HereSocioCosmos
Skyrocket your YouTube presence with Sociocosmos' proven methods. Gain real engagement and build a loyal audience. Join us now.
https://www.sociocosmos.com/product-category/youtube/
Grow Your Reddit Community Fast.........SocioCosmos
Sociocosmos helps you gain Reddit followers quickly and easily. Build your community and expand your influence.
https://www.sociocosmos.com/product-category/reddit/
Multilingual SEO Services | Multilingual Keyword Research | Filosemadisonsmith478075
Multilingual SEO services are essential for businesses aiming to expand their global presence. They involve optimizing a website for search engines in multiple languages, enhancing visibility, and reaching diverse audiences. Filose offers comprehensive multilingual SEO services designed to help businesses optimize their websites for search engines in various languages, enhancing their global reach and market presence. These services ensure that your content is not only translated but also culturally and contextually adapted to resonate with local audiences.
Visit us at -https://www.filose.com/
Unlock TikTok Success with Sociocosmos..SocioCosmos
Discover how Sociocosmos can boost your TikTok presence with real followers and engagement. Achieve your social media goals today!
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Non-Financial Information and Firm Risk Non-Financial Information and Firm RiskAJHSSR Journal
ABSTRACT: This research aims to examine how ESG disclosure and risk disclosure affect the total risk of
companies. Using cross section data from 355 companies listed in Indonesia Stock Exchange, data regarding
ESG disclosure and risk was collected. In this research, ESG and risk disclosures are measured based on content
analysis using GRI 4 guidelines for ESG disclosures and COSO ERM for risk disclosures. Using multiple
regression, it is concluded that only risk disclosure can reduce the company's total risk, while ESG disclosure
cannot affect the company's total risk. This shows that only risk disclosure is relevant in determining a
company's total risk.
KEYWORDS: ESG disclosure, risk disclosure, firm risk
Get Ahead with YouTube Growth Services....SocioCosmos
Get noticed on YouTube by buying authentic engagement. Sociocosmos helps you grow your channel quickly and effectively.
https://www.sociocosmos.com/product-category/youtube/
Social media refers to online platforms and tools that enable users to create, share, and exchange information, ideas, and content in virtual communities and networks. These platforms have revolutionized the way people communicate, interact, and consume information. Here are some key aspects and descriptions of social media:
How social media marketing helps businesses in 2024.pdfpramodkumar2310
Social media marketing refers to the process of utilizing social media platforms to promote products, services, or brands. It involves creating and sharing valuable content, engaging with followers, analyzing data, and running targeted advertising campaigns.
www.nidmindia.com
“To be integrated is to feel secure, to feel connected.” The views and experi...AJHSSR Journal
ABSTRACT: Although a significant amount of literature exists on Morocco's migration policies and their
successes and failures since their implementation in 2014, there is limited research on the integration of subSaharan African children into schools. This paperis part of a Ph.D. research project that aims to fill this gap. It
reports the main findings of a study conducted with migrant children enrolled in two public schools in Rabat,
Morocco, exploring how integration is defined by the children themselves and identifying the obstacles that they
have encountered thus far. The following paper uses an inductive approach and primarily focuses on the
relationships of children with their teachers and peers as a key aspect of integration for students with a migration
background. The study has led to several crucial findings. It emphasizes the significance of speaking Colloquial
Moroccan Arabic (Darija) and being part of a community for effective integration. Moreover, it reveals that the
use of Modern Standard Arabic as the language of instruction in schools is a source of frustration for students,
indicating the need for language policy reform. The study underlines the importanceof considering the
children‟s agency when being integrated into mainstream public schools.
.
KEYWORDS: migration, education, integration, sub-Saharan African children, public school
The Challenges of Good Governance and Project Implementation in Nigeria: A Re...AJHSSR Journal
ABSTRACT : This study reveals that systemic corruption and other factors including poor leadership,
leadership recruitment processes, ethnic and regional politics, tribalism and mediocrity, poor planning, and
variation of project design have been the causative factors that undermine projects implementation in postindependence African states, particularly in Nigeria. The study, thus, argued that successive governments of
African states, using Nigeria as a case study, have been deeply engrossed in this obnoxious practice that has
undermined infrastructure sector development as well as enthroned impoverishment and mass poverty in these
African countries. This study, therefore, is posed to examine the similarities in causative factors, effects and
consequences of corruption and how it affects governance, projects implementation and national growth. To
achieve this, the study adopted historical research design which is qualitative and explorative in nature. The
study among others suggests that the governments of developing countries should shun corruption and other
forms of obnoxious practices in order to operate effective and efficient systems that promote good governance
and ensure there is adequate projects implementation which are the attributes of a responsible government and
good leadership. Policy makers should also prioritize policy objectives and competence to ensure that policies
are fully implemented within stipulated time frame.
KEYWORDS: Developing Countries, Nigeria, Government, Project Implementation, Project Failure
Enhance your social media strategy with the best digital marketing agency in Kolkata. This PPT covers 7 essential tips for effective social media marketing, offering practical advice and actionable insights to help you boost engagement, reach your target audience, and grow your online presence.
Exploring Factors Affecting the Success of TVET-Industry Partnership: A Case ...AJHSSR Journal
ABSTRACT: The purpose of this study was to explore factors affecting the success of TVET-industry
partnerships. A case study design of the qualitative research method was used to achieve this objective. For the
study, one polytechnic college of Oromia regional state, and two industries were purposively selected. From the
sample polytechnic college and industries, a total of 17 sample respondents were selected. Out of 17
respondents, 10 respondents were selected using the snowball sampling method, and the rest 7 respondents were
selected using the purposive sampling technique. The qualitative data were collected through an in-depth
interview and document analysis. The data were analyzed using thematic approaches. The findings revealed that
TVET-industry partnerships were found weak. Lack of key stakeholder‟s awareness shortage of improved
training equipment and machines in polytechnic colleges, absence of trainee health insurance policy, lack of
incentive mechanisms for private industries, lack of employer industries involvement in designing and
developing occupational standards, and preparation of curriculum were some of the impediments of TVETindustry partnership. Based on the findings it was recommended that the Oromia TVET bureau in collaboration
with other relevant concerned regional authorities and TVET colleges, set new strategies for creating strong
awareness for industries, companies, and other relevant stakeholders on the purpose and advantages of
implementing successful TVET-industry partnership. Finally, the Oromia regional government in collaboration
with the TVET bureau needs to create policy-supported incentive strategies such as giving occasional privileges
of duty-free import, tax reduction, and regional government recognition awards based on the level of partnership
contribution to TVET institutions in promoting TVET-industry partnership.
KEY WORDS: employability skills, industries, and partnership
1. PREM SANKAR C
Research Scholar
Dept of Futures Studies, University of Kerala
Computational Social Science
It's is all about data and connections .....
KNM Govt Arts and Science College
3. What is Computational Social
Science?
Cyberculture Studies Digital Dataset + Computational Methods
4. 1. Definition : CSS
The increasing integration of technology into our lives
has created unprecedented volumes of data on
society’s everyday behaviour. Such data opens up
exciting new opportunities to work towards a
quantitative understanding of our complex social
systems, within the realms of a new discipline known
as Computational Social Science.
(Conte at al. 2012)
6. Study of how humans
organize and interact in our
modern society....
Discovery of new patterns and their quantitative description in socio-economic
systems.
Interface between computer science and the traditional social
sciences
7. Era of Electronic Word of Mouth Communication
Decentralized control and Self-organization - Group behavior emerges from the
local interactions of individuals (Gender Studies / Collective Actions)
#Metoo
Social relationships are hidden
ICT - Huge Volume of Data
Internet /Social media/ Data Mining
=>Computational Social Science /
Digital Humanities
Interview
Questionnaire
Survey
10. Computational Social Science (CSS)
CSS is a research discipline at the interface between
computer science and the traditional social sciences.
It uses computational methods to analyze and model
social phenomena, social structures, and collective
behavior.
11. Computer Science + Social Science
Computer Science
Study anything
Methods driven
Large data
Prediction
Social Science
Study social things
Question driven
Small data
Explanation
Feel the Difference
15. Digital Trace Data: Examples
1) Social media sites
2) Web search queries
3) Blogs and internet forums
4) Call detail records from mobile phones
5) Sensor data
Online networks
Call logs
Instant messaging
There has been a fundamental shift in the opportunities in data
collection about humans.
Data-driven social science
16. Social Science in Digital Era !!!
Digital Datasets can provide information that can profoundly
shape our understanding of social phenomena.
Convert these data sets into computational models
Simulation of complex social interactions or Computational
approaches with data to estimate models of social
phenomenon.
The main computational approaches to the social sciences are
1) Social network analysis
2) Social mining
3) Social complexity modeling
4) Social simulation models.
Data is the new oil
17. From Data to Theory?
Sociological Theory
Hypothesis / Prediction
Web Data
We need theory, because we want to explain social issues.
18. CSS Methodologies
Case study analysis
Controlled experiments
Computational modeling
Integrative data analysis / natural experiments
20. What is SNA?
Social network analysis (SNA) is a collection of techniques,
tools, and methods by which one can map and analyze the
connections across individuals or groups or institutions.
Network analysis allows us to examine how the structure of
networks.
Why SNA?
SNA is multidisciplinary and deals with
• Influencing groups (public health, propaganda, viral marketing)
• Increasing engagement with stakeholders (Management/Recommendation)
• Cool algorithms/ Analytics (math, computer science)
• Study of social behaviour (sociology, cognitive science)
• Organizational behavior (leadership, management)
21. Actors (Nodes/ Vertices)
Actors –are the smallest unit of a network
Persons
Organizations
Countries
Companies
Animals
Words
Web pages
Families
22. Relations (Link/Edge/Tie/Arc)
Kinship
mother of, wife of
Other role-based
boss of, teacher of
friend of
Cognitive/perceptual
knows
aware of what they know
Affective
likes, trusts
Interactions
give advice, talks to, fights
with, lends money to
sex / drugs with
Affiliations
belong to same clubs /
companies
is physically near
Two Actors are connected
by a social relationship.
23. Type of Relations
Relations can be
Undirected
Directed
Weighted
Weight can be
Strength
Rank
Frequency
Probability
24. “Think Link”
Social network
Collaboration network
Terrorist networks
Economic networks
Family Networks
Organization networks
Sports Networks
Co-author Networks
A BIs related to
Patterns are
left behind
See your
interconnected
world
26. Network Measures…
1- Centrality Measures
Identifying people who are well positioned to influence
the network or to move information around.
Network Science
28. Identifying Key People
Who are the people who are best positioned to move information through
the network?
People who live in the intersection of social worlds are at higher risk of
having good ideas. –Ron Burt
32. It’s a small world, after all ...
“six degrees of separation—everyone in the
world is connected to everyone else through a
chain of, at most, six mutual connections.
In Milgram’s 1967 “small world experiment”,
individuals were asked to reach a particular
target individual by passing a message along a
chain of acquaintances. For successful chains,
the average # of intermediaries needed was 6.
Director: Fred Schepisi
Writers: John Guare (play), John
Guare (screenplay)
Stars: Will Smith, Stockard
Channing, Donald Sutherland
1993
33. How connected are you to everyone else in
the world?
The Facebook average is 3.57.
Source - Facebook Data Science Report
Estimated average degrees of separation between all people on Facebook.
The average person is connected to every other person by an average of 3.57
steps. The majority of people have an average between 3 and 4 steps
34. Three Degrees of Influence
your friends’ friends’ friends
In Book Connected by
Nicholas A. Christakis
and James H. Fowler.
35. The Strength of Weak Ties
Weak ties are more likely to be bridges to outside networks than strong ties
(emotionally close friends and family) .
Weak ties provide access to information and resources beyond those
available in their own social circle.
New information and ideas.
37. The Tipping Model
How to identify the small “seed” group of people who can spread a
message across an entire network for ViralMarketing .
38. Super-spreaders / Hubs
Image -206 SARS patients diagnosed in Singapore were traced to four super-spreaders.
Patient Zero, the physician from China, who brought the disease to Singapore.
നനിപ്പ ബബാധയുണണ്ടെനന്ന് കണണ്ടെതനിയ 18 പപരനിൽ 16 പപരരും മരണമടഞ്ഞു ഈ പതനിനബാറു പപരരും
ആദദരും മരണമടഞ്ഞ സബാബനിത്തുമബായനി ബന്ധമള്ളവരബായനിരന
Gamifying Epidemic - http://vax.herokuapp.com/game
How do you control the behaviour of a network?
39. Eco Chambers -How Close Are You Really?
If you are part of a group of close friends or relations, you are less able
to make strong links outside this group.
40. Homophily
Homophily is the tendency to connect with people with similar
characteristics (status, beliefs, etc.)
41. Social Networks Expands
Idea - ‘the friends of my friends are my friends’:
The probability of three people being friends with each other in a
social network
The familiar strangers we see every day on the bus and in the supermarket
43. A) Network Dynamics & Social Behavior
How do revolutions emerge without anyone expecting
them?
How did social norms about same sex marriage change
more rapidly than anyone anticipated?
Why do some social innovations take off with relative
ease, while others struggle for years without spreading?
What are the forces that control the process of social
evolution –from the fashions that we wear, to our beliefs
about religious tolerance..
We don't need emperors or even centralized institutions
to get these kinds of social phenomenon
44. Diffusion of behaviors on Facebook
Posts, Share, Nomination(mention in post),Volunteer (in
comments)
Selfi Culture
45. Diffusion of #Hoaxs #Misinformation, #FakeNews
Each piece of Digital misinformation contributes to the
shaping of our opinions.
Fake news make more money than real one
Clickbait sites manufacture hoaxes to make money from
ads, while news sites publish and spread rumors and
conspiracy theories to influence public opinion.
Eco champers exists - Demonetization fans spreads that
the Amartya Sen endorsed it, others spread that he
opposed it. He did both.
Trust in social networks -give higher priority to more
reliable sources.
46. B) Social Navigation - #Collective Actions
#Kerala Floods
#Sabarimala
# Metoo
#AyodhyaCase
Idea # using information from nearest neighbors
(follow the known crowd)
* Social information reuse.
* Trust in Social Networks –
1) Charity Activities
47. 47
Emotion on Facebook
Classify semantic content of status updates using LIWC
Emotion: fraction of posts with positive/negative words
Coviello et al., PLoS ONE 2014, “Detecting Emotional Contagion in Massive Social Networks”
Slides provided by Lorenzo Coviello. Thanks! Later partially modified.
48. 48
Twitter for Migration Studies
Use streaming API filter for geo-tagged tweets from
OECD countries
Pick 3,000 users per country, get their tweets
Estimate out-migration and oversample “static”
countries
Get data for ~500K users
After activity thresholding left with ~15K
E. Zagheni, K. Garimella, I. Weber, B. State: Inferring International
and Internal Migration Patterns from Twitter Data. WWW’14
52. Blumenstock, Joshua, Gabriel Cadamuro, and Robert On. “Predicting poverty and wealth
from mobile phone metadata.” Science 350, no. 6264 (2015): 1073-1076
1) Mobile Phone Data
53. Jost, John T., Pablo Barbera, Richard Bonneau, Melanie Langer, Megan Metzger, Jonathan Nagler,
Joanna Sterling, and Joshua A. Tucker. “How social media facilitates political protest:
Information, motivation, and social networks.” Political psychology 39 (2018): 85-118.
2) Twitter & Political Movements
54. Garcia, David, and Bernard Rime. “Collective emotions and social resilience in the digital
traces after a terrorist attack.” Psychological science (2019): 0956797619831964.
3) Twitter & Social Emotions
55. 4) Facebook and Gender Gaps
Figure: Gender gaps in internet use computed using data from Facebook
(online
model) available at www.digitalgendergaps.org
Fatehkia, Masoomali, Ridhi Kashyap, and Ingmar Weber. “Using Facebook ad data
to track the global digital gender gap.” World Development 107 (2018): 189-209.
56. Ginsberg, Jeremy, Matthew H. Mohebbi, Rajan S. Patel, Lynnette Brammer, Mark S. Smolinski, and
Larry Brilliant. “Detecting influenza epidemics using search engine query data.” Nature 457, no.
7232 (2009): 1012.
5) Google Search - Flu Detection
57. 6) UBER Data - Taxi Meters in NYC
Farber, Henry S. “Why you can’t find a taxi in the rain and other labor supply lessons from cab
drivers.” The Quarterly Journal of Economics 130, no. 4 (2015): 1975-2026.
58. 7) Chat bots - Anti-racism bots
Munger, Kevin. 2017. “Tweetment Effects on the Tweeted: Experimentally
Reducing Racist Harassment.” Political Behavior.
60. Project 1 # Board Interlock Network
• Interlocking director refers to the situation in which
the same person shares positions on the boards of
more than one company.
61. Results..
Paper : C. Prem Sankar, K. Asokan, K. Satheesh Kumar*, Exploratory Social
Network Analysis of Affiliation Networks of Indian Listed Companies Social
Networks, Social Networks, 43, 113–120 2015.
Existence of small world structure in the Indian corporate sector.
Power elight: 2.25% of the director population account for 65.5% of the total market
capitalisation.
62. C. Prem Sankar, K. Asokan, K. Satheesh Kumar*, Exploratory Social Network Analysis of
Affiliation Networks of Indian Listed Companies Social Networks, Social Networks, 43,
113–120 2015.
63. Project 2 # Cochin Metro Network
Paper : Analysis of road network of the buffer area of Kochi Metro
rail using tools of social network analysis
64. Project 3 # MF Investment Network
Paper : Trust based Stock Recommendation System -a
Social Network Analysis Approach
65. Project 5 # Twitter Networks
#kissoflove
Zonin Alessandro ,Digital
Marketing Manager in
IBM Italy
Zonin Alessandro ,Digital
Marketing Manager in
IBM Italy
A link between
User A and User B
exists if one has
mentioned the
other in a tweet
A link between User and Hashtag exists if user has mentioned a hashtag
in their tweet
66. Project 4 # Linguistic Network
Independence day
Speeaches
• Each word is a node and
their co-occurrence is
encoded as the edge
between them
Paper : Forecasting and Modeling Long Term Policy Change Using Semantic
Linguistic Networks :Case Study in Indian Context
67. Project 7 #MakeInIndia
Paper : Social Network Visualization on How ‘MakeInIndia’ Made Vibes Among
Various Sectors – A Topic Modeling Based Approach
69. Part1 # Influence Maximization Algorithms
In this work, We proposed a new node ranking method to measure
the influence of influencer’s in a social context by analyzing the social
interaction.
70. Part 2 # Agent based Simulation
In complex social systems, when traditional approaches fails to capture the dynamics,
ABMS has been reported to be successful in capturing emergent phenomena resulting
from the interactions of individual agents.
Not Exact Prediction - It provides Explanation and Experimentation
72. Research Designs
1) Digital platforms & society: testing theories
2) Combining digital trace data with conventional data
sources like surveys
3) Apps for data generation and extraction
4) Combining digital traces with experiments (e.g. bots)
5) Ethics / Privacy Issues
6) Political Polarisation
7) Group Dynamics
73. 73
Research Categories
Relational (qualitative)
• Strength of ties
• Accessibility
• Likeability/”fun”
• Reputation
• Expected reciprocity?
• Competing unit?
• Dependence
• Trust
Structural
(quantitative)
• Size
• Density
• Diversity
• Structural
Holes
• Isolates/Clique
s
• Centrality
• Betweeness
• Closeness
Individual (qualitative)
• Personality (e.g., Big
5, self-monitoring)
• Emotional
intelligence
• Intentionality
• Past experience
• Sentimental analyis
75. Profiling by Association
Imagine that
You’re on Facebook
Your profile is empty
But you have friends in Facebook
All PhD students
All based in Kerala (Locality / School)
Mostly from one city or one college
Are you “anonymous”?
Really hard to anonymize network information!