Digital Media Winter Institute 2019
Smart Data Sprint: Beyond visible engagement, Jan. 28 - Feb.1, Universidade Nova de Lisboa, Lisbon, Portugal.
[Short talk]
Networks, Hashtags, Memes: A Quali-Quantitative Approach for Exploring Social...Janna Joceli Omena
Workshop at CAIS (Center of Advanced Internet Studies), in Bochum. 24 July 2019.
Part 1: Studying Hashtag Engagement through
Digital Networks (and Methods!)
Janna Joceli Omena
Part 2: Situating Internet Memes as Mediators &
Techno-Social Multiplicities
Elena Pilipets
Digital Culture Meets Data: Critical Approaches
˚ ECREA Digital Culture and Communication Section Conference ˚
˚ 6 - 7 November 2017 ˚ University of Brighton ˚ Mithras House ˚
This was the official presentation of SMART; a research group of iNOVA Media Lab. Presentation was held at Universidade Nova de Lisboa (FCSH), on 6 October 2016.
Project developed during the Digital Methods Summer School 2021.
https://wiki.digitalmethods.net/Dmi/SummerSchool2021BolsobotsNetworks
DOI: 10.13140/RG.2.2.18020.30084
Networks, Hashtags, Memes: A Quali-Quantitative Approach for Exploring Social...Janna Joceli Omena
Workshop at CAIS (Center of Advanced Internet Studies), in Bochum. 24 July 2019.
Part 1: Studying Hashtag Engagement through
Digital Networks (and Methods!)
Janna Joceli Omena
Part 2: Situating Internet Memes as Mediators &
Techno-Social Multiplicities
Elena Pilipets
Digital Culture Meets Data: Critical Approaches
˚ ECREA Digital Culture and Communication Section Conference ˚
˚ 6 - 7 November 2017 ˚ University of Brighton ˚ Mithras House ˚
This was the official presentation of SMART; a research group of iNOVA Media Lab. Presentation was held at Universidade Nova de Lisboa (FCSH), on 6 October 2016.
Project developed during the Digital Methods Summer School 2021.
https://wiki.digitalmethods.net/Dmi/SummerSchool2021BolsobotsNetworks
DOI: 10.13140/RG.2.2.18020.30084
Digital Media Winter Institute. Smart Data Sprint: Interpreters of platform data. 28 Jan-01 Fev, 2019. Universidade Nova de Lisboa, Lisbon, Portugal Practical Lab as an introduction to Social Media Methods, (Version 2019)
Snap4City November 2019 Course: Smart City IOT Dashboard, smart city control ...Paolo Nesi
• Recall on Snap4City Architecture
• Dashboard Usage and Authoring
– Dashboard usage vs Widgets
– Multi Data Map Widget
– Unified Data and Services Inspection (data inspector)
– Data Inspector vs Data Processes Details
– From Data to Graphic Widgets
– GIS Data Import, Export and Exploitation
• Dashboard Creation & Exercitation
– Dashboard Creation, Exercitation
– Synoptics and Custom Widgets Creation
– Dashboards Intelligence on Web and Mobile Devices
– Dashboard ChatRoom and Notifications
• Data Type Management GDPR Compliant
– Dashboard Listing, Managing, Sharing, Delegation
– Dashboards GDPR Management
– Personal Data Management GDPR Compliant: POI, Data, KPI
• Snap4City and Km4City Projects
• Acknowledgments
Snap4City November 2019 Course: Smart City IOT platform installation, deploy,...Paolo Nesi
• Snap4City Architecture
• Snap4City: Smart City IOT as a Service
• Snap4City Living Lab For Collaborative Work
• Smart City Development Life Cycle
• Analysis and Design for Innovation (Co-Creation and Co-Working)
• Development Tools
• How to Add Functions that are not present in the Platform
• Snap4City vs Fi-Ware
• Snap4City vs State of the Art Solutions
• Snap4City Services: Consulting and Developing
• Snap4City vs Snap4Industry 4.0
• Installing Snap4City
• The view of the Administrator
• Monitoring Resource Consumption and Traffic
• Managing and Monitoring Data Traffic in the BackOffice
• Auditing Activities
• Managing Back Office processes via Containers
• Acknowledgement
Big data visualization allotting by r and python with gui toolsSK Ahammad Fahad
A tremendous amount of data comes with a vast amount of knowledge. Decent use of the persistent information can assist to overcome provocations and support to establish further sophisticated judgment. Data visualization techniques are authenticated scientifically as thousand times reliable rather than textual representation. The premature data visualization system met some difficulties and there has some solution to handle this kind of big quantity of data. Data science used two distinct languages Python and R to visualize big data undeviatingly. There also have a lot of tools in operating business. This paper is focused on the visualization technique of Python and R. R appears including the extraordinary visualization library alike ggplot2, leaflet, and lattice to defeat the provocation of the extensive volume. Python has several particular libraries for data visualization. Commonly they are Bokeh, Seaborn, Altair, ggplot and Pygal. Also, with most modern, secure and powerful zero coding GUI's accessories to describe big data visualization for genuine recognition with practical determination. Method and process of visual description of data are significant to recover specific knowledge from the large-scale data.
Snap4City November 2019 Course: Smart City IOT development of IOT ApplicationsPaolo Nesi
• IOT Applications, Devices and Dashboards
– Managing IOT Applications
– Authoring IOT Applications
– IOT App vs Data Analytic
– IOT App vs Web Scraping
– IOT Apps Examples
• From Simple to Data Processing IOT Applications
– Create a Simple IOT Application (Demo)
– Production of IOT Application (Exercitation)
– Data Processing with IOT Application (Demo)
– Processing Data with IOT Applications (Exercitation)
• IOT Network Support
– Proprietary IOT Devices as Well as Open hardware / Open Software
• IOT end-2-end Secure Stack
Future of AI presentation to Norway delegation at IBM Watson West, 505 Howard Street, San Francisco, CA USA on March 12, 2019 by Jim Spohrer, IBM Director, Cognitive OpenTech
Snap4City November 2019 Course: Smart City IOT Geernal overview, from dashboa...Paolo Nesi
• Overview
• Urban Platform (main concepts vs Living Lab)
• Snap4City Architecture, roadmap, logos, innovations
• Dashboards: from City Dashboards to Applications
• Trajectories and real time tracking
• Dashboards Intelligence and web and mobile devices
• Dashboard chatrooms and notifications
• Smart City Control Room
• Dashboards production
• Data Gathering and City Data Knowledge Management
• Protocol vs Data
• Data Gathering processes
• GIS Data Import, Export and Exploitation
• Semantic Modeling and City Knowledge Base: Km4CIty
• IOT Applications, Devices and Dashboards
• IOT Devices
• Forging & Managing Flexible Mobile Apps, Web App, MicroApplications
• Web and Mobile App with Open Development Kit
• Understanding how city users are using the city services
• Engaging City Users Towards Virtuous Behaviour
• Data Analytic, Big Data Science
• Data Analytics: predictions
• Smart Parking: predictions
• User behaviour Analysis via Wi-Fi, OD Matrices, Trajectories
• Recognition of Used Transportation Means
• Traffic Flow Reconstruction, from traffic sensors data
• Quality of Public Transport
• Origin Destination Matrices
• Demand of Mobility vs Offer of Transportation
• Modal and Multimodal Routing for Navigation and Travel Planning
• Environmental Data Predictions
• Prediction of Qir Quality
• Anomaly Detection
• Environmental data prediction
• Social Media Analysis
• Snap4City Living Lab for Collaborative Work
• Development Life Cycle
• Development tools
• Data protection, personal da vs GDPR
• Snap4City and Km4City Projects
• Acknowledgment
The objective of this tutorial is to give the audience hands-on experience to work through the basics about knowledge graph and recommender technology, and how to use them for building an article recommender for COVID-19 research.
Particularly, we used a dataset of COVID research-related papers. We consider two tasks, author to paper recommendation and paper to paper recommendation. This work is interesting in the sense that it touches several areas of ML such as recommendation systems, knowledge graphs and NLP.
This work has been done with my amazing collaborators Zhihong (Iris) Shen, Jianxun Lian and Le Zhang.
The talk was presented at the Toronto Machine Learning Summit on November 16th 2020
A GDSC (Google Developer Student Clubs) info session is to introduce students to the opportunities and benefits of participating in a GDSC chapter. GDSCs are community groups that provide students with resources, mentorship, and a platform to learn about Google technologies, collaborate on projects, and enhance their technical skills. During the info session, students can expect to learn about the club's activities, workshops, hackathons, and networking opportunities. The event is to share insights into how GDSC can be a valuable part of a student's academic journey, fostering personal growth and professional development in the field of technology. These sessions often feature guest speakers, past project showcases, and details on how to join and get involved in the GDSC community. It's a great chance for students to explore how they can expand their knowledge, connect with like-minded peers, and engage in hands-on projects related to cutting-edge tech.
ILTA Seminar March 3rd 2021 Building Digital Capabilities with DigitalEd.iecarinaginty
ILTA national seminar by Dr Carina Ginty sharing the DigitalEd.ie story and how we are building digital teaching and learning capabilities in GMIT, IT Sligo and LYIT.
Snap4City November 2019 Course: Smart City API, federation, Web and Mobile Ap...Paolo Nesi
• Smart City API: Internal and External
• Forging and Managing Flexible Mobile Apps, Web Apps and Micro Apps
– Web and Mobile App with Open Development Kit
– Understanding how City User are using the City Services
– Engaging City Users, towards a participated attitude
• Advanced Smart City API, MicroServices, Snap4City API
• Federated Knowledge Base and Smart City API
• Web and Mobile App Development Kit
• Acknowledgement
Analysing image collections with the computer vision network approachJanna Joceli Omena
Images in Social Media Research:
Digital Tools and Methodological Challenges
Online-Workshop, 10th February 2023.
https://tu-dresden.de/gsw/phil/ikm/kuge/forschung/aktuelle-projekte/bildproteste/news/online-workshop-images-in-social-media-research-digital-tools-and-methodological-challenges
DigiMeth festival, Centre of Interdisciplinary Methodologies at the University of Warwick.
December 9, 2022.
https://warwick.ac.uk/fac/cross_fac/cim/events/digi-meth/
Workshop facilitators: Janna Joceli Omena, Beatrice Gobbo
Abstract:
This workshop offers methodological guidance for narrating networks through visual network analysis (VNA) (Venturini et al. 2021) and a technicity perspective to the practice of digital methods (Omena 2021). It is divided into two parts. First, we will introduce what questions we should ask to make sense of network building and the key principles of VNA. Second, students will work on digital and printed recommendation networks aiming at narrating what they see.
Main takeaways
Students will be able to explore and identify the main components of a digital network
Students will reflect on the distinction between what is network exploration (description tasks) and network narration (insights, findings)
Students will develop the ability to tell a story about the topic under investigation and what constitutes the network.
Requirements:
Please bring your own computer and get familiar with
Retina (https://ouestware.gitlab.io/retina/beta/)
An example of a network 👉 link.
Related projects
Venturini, T., Jacomy, M., & Jensen, P. (2021). What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts. Big Data & Society, 8(1). https://doi.org/10.1177/20539517211018488
Omena, J.J.(2021). Digital Methods and Technicity-of-the-Mediums. From Regimes of Functioning to Digital Research. [Doctoral Dissertation, Nova University Lisbon]. Repositório da Universidade Nova de Lisboa. http://hdl.handle.net/10362/127961
Venturini, Tommaso & Bounegru, Liliana & Jacomy, Mathieu & Gray, Jonathan. (2017). 11. How to Tell Stories with Networks Exploring the Narrative Affordances of Graphs with the Iliad: Studying Culture through Data. 10.1515/9789048531011-014.
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Digital Media Winter Institute. Smart Data Sprint: Interpreters of platform data. 28 Jan-01 Fev, 2019. Universidade Nova de Lisboa, Lisbon, Portugal Practical Lab as an introduction to Social Media Methods, (Version 2019)
Snap4City November 2019 Course: Smart City IOT Dashboard, smart city control ...Paolo Nesi
• Recall on Snap4City Architecture
• Dashboard Usage and Authoring
– Dashboard usage vs Widgets
– Multi Data Map Widget
– Unified Data and Services Inspection (data inspector)
– Data Inspector vs Data Processes Details
– From Data to Graphic Widgets
– GIS Data Import, Export and Exploitation
• Dashboard Creation & Exercitation
– Dashboard Creation, Exercitation
– Synoptics and Custom Widgets Creation
– Dashboards Intelligence on Web and Mobile Devices
– Dashboard ChatRoom and Notifications
• Data Type Management GDPR Compliant
– Dashboard Listing, Managing, Sharing, Delegation
– Dashboards GDPR Management
– Personal Data Management GDPR Compliant: POI, Data, KPI
• Snap4City and Km4City Projects
• Acknowledgments
Snap4City November 2019 Course: Smart City IOT platform installation, deploy,...Paolo Nesi
• Snap4City Architecture
• Snap4City: Smart City IOT as a Service
• Snap4City Living Lab For Collaborative Work
• Smart City Development Life Cycle
• Analysis and Design for Innovation (Co-Creation and Co-Working)
• Development Tools
• How to Add Functions that are not present in the Platform
• Snap4City vs Fi-Ware
• Snap4City vs State of the Art Solutions
• Snap4City Services: Consulting and Developing
• Snap4City vs Snap4Industry 4.0
• Installing Snap4City
• The view of the Administrator
• Monitoring Resource Consumption and Traffic
• Managing and Monitoring Data Traffic in the BackOffice
• Auditing Activities
• Managing Back Office processes via Containers
• Acknowledgement
Big data visualization allotting by r and python with gui toolsSK Ahammad Fahad
A tremendous amount of data comes with a vast amount of knowledge. Decent use of the persistent information can assist to overcome provocations and support to establish further sophisticated judgment. Data visualization techniques are authenticated scientifically as thousand times reliable rather than textual representation. The premature data visualization system met some difficulties and there has some solution to handle this kind of big quantity of data. Data science used two distinct languages Python and R to visualize big data undeviatingly. There also have a lot of tools in operating business. This paper is focused on the visualization technique of Python and R. R appears including the extraordinary visualization library alike ggplot2, leaflet, and lattice to defeat the provocation of the extensive volume. Python has several particular libraries for data visualization. Commonly they are Bokeh, Seaborn, Altair, ggplot and Pygal. Also, with most modern, secure and powerful zero coding GUI's accessories to describe big data visualization for genuine recognition with practical determination. Method and process of visual description of data are significant to recover specific knowledge from the large-scale data.
Snap4City November 2019 Course: Smart City IOT development of IOT ApplicationsPaolo Nesi
• IOT Applications, Devices and Dashboards
– Managing IOT Applications
– Authoring IOT Applications
– IOT App vs Data Analytic
– IOT App vs Web Scraping
– IOT Apps Examples
• From Simple to Data Processing IOT Applications
– Create a Simple IOT Application (Demo)
– Production of IOT Application (Exercitation)
– Data Processing with IOT Application (Demo)
– Processing Data with IOT Applications (Exercitation)
• IOT Network Support
– Proprietary IOT Devices as Well as Open hardware / Open Software
• IOT end-2-end Secure Stack
Future of AI presentation to Norway delegation at IBM Watson West, 505 Howard Street, San Francisco, CA USA on March 12, 2019 by Jim Spohrer, IBM Director, Cognitive OpenTech
Snap4City November 2019 Course: Smart City IOT Geernal overview, from dashboa...Paolo Nesi
• Overview
• Urban Platform (main concepts vs Living Lab)
• Snap4City Architecture, roadmap, logos, innovations
• Dashboards: from City Dashboards to Applications
• Trajectories and real time tracking
• Dashboards Intelligence and web and mobile devices
• Dashboard chatrooms and notifications
• Smart City Control Room
• Dashboards production
• Data Gathering and City Data Knowledge Management
• Protocol vs Data
• Data Gathering processes
• GIS Data Import, Export and Exploitation
• Semantic Modeling and City Knowledge Base: Km4CIty
• IOT Applications, Devices and Dashboards
• IOT Devices
• Forging & Managing Flexible Mobile Apps, Web App, MicroApplications
• Web and Mobile App with Open Development Kit
• Understanding how city users are using the city services
• Engaging City Users Towards Virtuous Behaviour
• Data Analytic, Big Data Science
• Data Analytics: predictions
• Smart Parking: predictions
• User behaviour Analysis via Wi-Fi, OD Matrices, Trajectories
• Recognition of Used Transportation Means
• Traffic Flow Reconstruction, from traffic sensors data
• Quality of Public Transport
• Origin Destination Matrices
• Demand of Mobility vs Offer of Transportation
• Modal and Multimodal Routing for Navigation and Travel Planning
• Environmental Data Predictions
• Prediction of Qir Quality
• Anomaly Detection
• Environmental data prediction
• Social Media Analysis
• Snap4City Living Lab for Collaborative Work
• Development Life Cycle
• Development tools
• Data protection, personal da vs GDPR
• Snap4City and Km4City Projects
• Acknowledgment
The objective of this tutorial is to give the audience hands-on experience to work through the basics about knowledge graph and recommender technology, and how to use them for building an article recommender for COVID-19 research.
Particularly, we used a dataset of COVID research-related papers. We consider two tasks, author to paper recommendation and paper to paper recommendation. This work is interesting in the sense that it touches several areas of ML such as recommendation systems, knowledge graphs and NLP.
This work has been done with my amazing collaborators Zhihong (Iris) Shen, Jianxun Lian and Le Zhang.
The talk was presented at the Toronto Machine Learning Summit on November 16th 2020
A GDSC (Google Developer Student Clubs) info session is to introduce students to the opportunities and benefits of participating in a GDSC chapter. GDSCs are community groups that provide students with resources, mentorship, and a platform to learn about Google technologies, collaborate on projects, and enhance their technical skills. During the info session, students can expect to learn about the club's activities, workshops, hackathons, and networking opportunities. The event is to share insights into how GDSC can be a valuable part of a student's academic journey, fostering personal growth and professional development in the field of technology. These sessions often feature guest speakers, past project showcases, and details on how to join and get involved in the GDSC community. It's a great chance for students to explore how they can expand their knowledge, connect with like-minded peers, and engage in hands-on projects related to cutting-edge tech.
ILTA Seminar March 3rd 2021 Building Digital Capabilities with DigitalEd.iecarinaginty
ILTA national seminar by Dr Carina Ginty sharing the DigitalEd.ie story and how we are building digital teaching and learning capabilities in GMIT, IT Sligo and LYIT.
Snap4City November 2019 Course: Smart City API, federation, Web and Mobile Ap...Paolo Nesi
• Smart City API: Internal and External
• Forging and Managing Flexible Mobile Apps, Web Apps and Micro Apps
– Web and Mobile App with Open Development Kit
– Understanding how City User are using the City Services
– Engaging City Users, towards a participated attitude
• Advanced Smart City API, MicroServices, Snap4City API
• Federated Knowledge Base and Smart City API
• Web and Mobile App Development Kit
• Acknowledgement
Analysing image collections with the computer vision network approachJanna Joceli Omena
Images in Social Media Research:
Digital Tools and Methodological Challenges
Online-Workshop, 10th February 2023.
https://tu-dresden.de/gsw/phil/ikm/kuge/forschung/aktuelle-projekte/bildproteste/news/online-workshop-images-in-social-media-research-digital-tools-and-methodological-challenges
DigiMeth festival, Centre of Interdisciplinary Methodologies at the University of Warwick.
December 9, 2022.
https://warwick.ac.uk/fac/cross_fac/cim/events/digi-meth/
Workshop facilitators: Janna Joceli Omena, Beatrice Gobbo
Abstract:
This workshop offers methodological guidance for narrating networks through visual network analysis (VNA) (Venturini et al. 2021) and a technicity perspective to the practice of digital methods (Omena 2021). It is divided into two parts. First, we will introduce what questions we should ask to make sense of network building and the key principles of VNA. Second, students will work on digital and printed recommendation networks aiming at narrating what they see.
Main takeaways
Students will be able to explore and identify the main components of a digital network
Students will reflect on the distinction between what is network exploration (description tasks) and network narration (insights, findings)
Students will develop the ability to tell a story about the topic under investigation and what constitutes the network.
Requirements:
Please bring your own computer and get familiar with
Retina (https://ouestware.gitlab.io/retina/beta/)
An example of a network 👉 link.
Related projects
Venturini, T., Jacomy, M., & Jensen, P. (2021). What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts. Big Data & Society, 8(1). https://doi.org/10.1177/20539517211018488
Omena, J.J.(2021). Digital Methods and Technicity-of-the-Mediums. From Regimes of Functioning to Digital Research. [Doctoral Dissertation, Nova University Lisbon]. Repositório da Universidade Nova de Lisboa. http://hdl.handle.net/10362/127961
Venturini, Tommaso & Bounegru, Liliana & Jacomy, Mathieu & Gray, Jonathan. (2017). 11. How to Tell Stories with Networks Exploring the Narrative Affordances of Graphs with the Iliad: Studying Culture through Data. 10.1515/9789048531011-014.
Making methods with vision APIs, online data & network building (lessons lear...Janna Joceli Omena
Research project on building and interpreting computer vision networks with the purpose to develop visual digital methods for social and media research. Project diary: https://thesocialplatforms.wordpress.com/2020/09/10/computer-vision-networks/
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Video: https://www.youtube.com/watch?v=ZXunLB5kfwU&t=22s
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https://www.conjor.com.br/seminarioplataforma
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Digital Media Winter Institute 2018
Smart Data Sprint: Interpreters of Platform Data, Jan. 29 - Feb.2, Universidade Nova de Lisboa, Lisbon, Portugal.
[Short talk]
...................................
Correction in slide 17: #DilmaRoussef and #MichelTemer co-related tag Network. See the Follow Network here: https://www.slideshare.net/jannajoceli/why-look-at-social-media-apis-81702316
António Granado and I presented our ongoing work about digital methods for institutional communication and science communication at SciCom PT 2017 - Museu da Ciência da Universidade de Coimbra, Portugal. We explored the case of Portuguese Universities on Facebook.
...................................................................................................
Resumo:
As Universidades Portuguesas no Facebook - Análise de Redes e Comunicação de Ciência
António Granado
Janna Joceli C. de Omena
Como é que as universidades portuguesas fazem uso da rede social Facebook? O quê e como comunicam? Como é que as plataformas digitais servem de ferramenta/ponte para a comunicação de ciência? Qual o contributo da análise visual de redes neste processo? Estas foram as questões-chave que nos conduziram ao presente mapeamento das principais universidades portuguesas no Facebook, a partir de um estudo guiado pela perspetiva dos Métodos Digitais (Rogers, 2013) e de Análise Visual de Redes (Venturini et.al., 2015). O nosso objetivo é apresentar os primeiros resultados obtidos, com base na investigação exploratória que se debruçou sobre duas áreas distintas, mas complementares. Em Março de 2017, com a ajuda da aplicação Netvizz, foram coletados dados das 15 universidades representadas no Conselho de Reitores das Universidades Portuguesas (CRUP). Os dados recolhidos incluíram páginas (todos os posts e interações registadas desde a criação de cada página), imagens da linha do tempo (timeline), e pagelike network. A análise visual de redes permite-nos concluir sobre os principais atores da rede e as suas conexões, assim como autoridade e influência. Para além disto, a análise de clusters possibilita perceber os micro-sistemas de interesse de cada uma das universidades. Após esta primeira análise, selecionámos os posts efetuados pelas 15 universidades durante o ano de 2016 (N=7103), no sentido de obter uma primeira impressão sobre o tipo de conteúdo que estas instituições partilham no Facebook. Os posts foram classificados segundo as 11 categorias propostas por Dumouchel (2014) na sua análise das páginas de Facebook das universidades da Florida (EUA). Deste trabalho, retiramos conclusões iniciais sobre frequência, temas e tipos de conteúdos partilhados pelas universidades portuguesas no Facebook.
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1. HOW TO READ CROSS-PLATFORM
DIGITAL NETWORKS?
Universidade NOVA de Lisboa I NOVA FCSH - ICNOVA
iNOVA Media Lab ˚ @jannajoceli ˚ thesocialplatforms.wordpress.com
Janna Joceli Omena
Digital Media Winter Institute 2019 I SMART Data Sprint: Beyond Visible Engagement I Lisbon, Portugal.
2. Digital Media Winter Institute 2019 I SMART Data Sprint: Beyond Visible Engagement I Lisbon, Portugal.
3.
4. SMART Data Sprint 2017 https://smart.inovamedialab.org/datasprint2017/project-reports/project1/
5. Influential Actors: Bridging Nodes
[when a node connects
nodes of different clusters]
AULP
MIT Portugal
Universia Portugal
Fundação Calouste Gulbenkian
Forum Estudante
9. [Subject of study + background + problem]
i) Web Platform (s) (social media + search engines + etc)
ii) Data gathering
iii) Data analysis
→
Approaching digital networks
10. Digital Media Winter Institute 2019 I SMART Data Sprint: Beyond Visible Engagement I Lisbon, Portugal.
11. platform infrastructure / ready-made social data
possible types of digital networks
combine platform grammatization
the praxis of
12. Living process: network characteristics, web platforms, network type, what is at stake in the spacialization? what grammars?
16. i) Networks afforded by technical interfaces
ii) Networks afforded by digital data
17. Grammars
#femboy
Page timeline
images
Data capture
API/Scraping
Extraction Software Output files Analysis Software
API /
Scraping
Facebook
Graph
API
Instaloader
(python script)
Netvizz .tab file
.tab and
.gdf files
Gephi
Vision API
MemeSpector Script
Inkscape
ImagePlot
YouTube
API V3
YouTube
Data Tools
.gdf file GephiFemboy
Channels id
Channel or video
Network
Co-occurrence tags
Hashtag-image
Image-label
Network
Possible Types
of Networks
Platform
Image Networks
Combining the knowledge of platform grammatization with the praxis of data capture and data analysis
19. Digital Media Winter Institute 2019 I SMART Data Sprint: Beyond Visible Engagement I Lisbon, Portugal.
20.
21. → Aesthetically pleasing
→ “ calculate the layout of a graph using only
information contained within the structure of the graph itself
→ repulsive and attractive forces
→
→
spatial distance becomes meaningful
22.
23.
24.
25.
26. Digital Media Winter Institute 2019 I SMART Data Sprint: Beyond Visible Engagement I Lisbon, Portugal.
28. What counts?
What should we ignore or delete?
https://thesocialplatforms.wordpress.com/2018/10/22/elenao-vs-elesim/
#EleNão vs. #EleSim Image-hashtag Network