Ajith Abraham, Computational social network analysis : trends, tools and research advances (Dordrecht: Springer, 2010).
CH1. An Overview of Methods for Virtual Social Networks Analysis
Bret Staudt Willet, Ministry in Digital Spaces Director at InterVarsity Christian Fellowship/USA, shares about the patterns of online communities and how to engage them in ministry.
More info at https://indigitous.org/events/patterns-of-online-communities/
SHORTer VERSION - Liminality and Communitas in Social Media - The case of Twi...Jana Herwig
A longer version, optimized for the lack of verbal input, can be found here: http://www.slideshare.net/anaj/liminality-and-communitas-in-social-media-the-case-of-twitter
Ajith Abraham, Computational social network analysis : trends, tools and research advances (Dordrecht: Springer, 2010).
CH1. An Overview of Methods for Virtual Social Networks Analysis
Bret Staudt Willet, Ministry in Digital Spaces Director at InterVarsity Christian Fellowship/USA, shares about the patterns of online communities and how to engage them in ministry.
More info at https://indigitous.org/events/patterns-of-online-communities/
SHORTer VERSION - Liminality and Communitas in Social Media - The case of Twi...Jana Herwig
A longer version, optimized for the lack of verbal input, can be found here: http://www.slideshare.net/anaj/liminality-and-communitas-in-social-media-the-case-of-twitter
2010 Catalyst Conference - Trends in Social Network AnalysisMarc Smith
Review of trends related to social network analysis in the enterprise. Presented at the 2010 Catalyst Conference in San Diego, CA july 29, 2010. Presented with Mike Gotta, Gartner Group.
2015 #MMeasure-Marc Smith-NodeXL Mapping social media using social network ma...Marc Smith
Networks are a powerful way to understand social media.
This talk reviews the ways the NodeXL application can be used to reveal the social media networks structures around topics.
Picturing the Social: Talk for Transforming Digital Methods Winter SchoolFarida Vis
This talk highlights the work of the Visual Social Media Lab and the Picturing the Social project. It summarises the key research questions and aims of the project. It highlights the value of interdisciplinarity and working closely with industry in this area. It also focuses on the way in which me might study different types of structures involved in the circulation and the scopic regimes that make social media images more or less visible. It also tries to unpack how we can start to think about APIs as 'method' and looks at the different ways in which we can get access to different kinds of social media image data. Both through public ('free') APIs and ('pay for') firehose data.
Researching Social Media – Big Data and Social Media AnalysisFarida Vis
Researching Social Media – Big Data and Social Media Analysis, presentation for the Social Media for Researchers: A Sheffield Universities Social Media Symposium, 23 September 2014
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
There are various online networking sites such as Facebook, twitter where students casually discuss their educational
experiences, their opinions, emotions, and concerns about the learning process. Information from such open environment can
give valuable knowledge for opinions, emotions and help the educational organizations to get insight into students’ educational
life. Analysing down such data, on the other hand, can be challenging therefore a qualitative research and significant data
mining process needs to be done. Sentiment classification can be done using NLP (Natural Language Processing). For a social
network that provides micro blogging services such as twitter, the incoming tweets can be classified into News, Opinions,
Events, Deals and private Messages based on authors information available in the tweets. This approach is similar to
Tweetstand, which classifies the tweets into news and non-news. Even for e-commerce applications virtual customer
environments can be created using social networking sites. Since the data is ever growing, using data mining techniques can get
difficult, hence we can use data analysis tools
2010 Catalyst Conference - Trends in Social Network AnalysisMarc Smith
Review of trends related to social network analysis in the enterprise. Presented at the 2010 Catalyst Conference in San Diego, CA july 29, 2010. Presented with Mike Gotta, Gartner Group.
2015 #MMeasure-Marc Smith-NodeXL Mapping social media using social network ma...Marc Smith
Networks are a powerful way to understand social media.
This talk reviews the ways the NodeXL application can be used to reveal the social media networks structures around topics.
Picturing the Social: Talk for Transforming Digital Methods Winter SchoolFarida Vis
This talk highlights the work of the Visual Social Media Lab and the Picturing the Social project. It summarises the key research questions and aims of the project. It highlights the value of interdisciplinarity and working closely with industry in this area. It also focuses on the way in which me might study different types of structures involved in the circulation and the scopic regimes that make social media images more or less visible. It also tries to unpack how we can start to think about APIs as 'method' and looks at the different ways in which we can get access to different kinds of social media image data. Both through public ('free') APIs and ('pay for') firehose data.
Researching Social Media – Big Data and Social Media AnalysisFarida Vis
Researching Social Media – Big Data and Social Media Analysis, presentation for the Social Media for Researchers: A Sheffield Universities Social Media Symposium, 23 September 2014
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
There are various online networking sites such as Facebook, twitter where students casually discuss their educational
experiences, their opinions, emotions, and concerns about the learning process. Information from such open environment can
give valuable knowledge for opinions, emotions and help the educational organizations to get insight into students’ educational
life. Analysing down such data, on the other hand, can be challenging therefore a qualitative research and significant data
mining process needs to be done. Sentiment classification can be done using NLP (Natural Language Processing). For a social
network that provides micro blogging services such as twitter, the incoming tweets can be classified into News, Opinions,
Events, Deals and private Messages based on authors information available in the tweets. This approach is similar to
Tweetstand, which classifies the tweets into news and non-news. Even for e-commerce applications virtual customer
environments can be created using social networking sites. Since the data is ever growing, using data mining techniques can get
difficult, hence we can use data analysis tools
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
2. Ismail Fahmi
Co-founder, Awesometrics.
A PhD in Computational Linguistics (Alpha-Informatica),
University Groningen, NL.
Email: fahmi@awesometrics.com
Part 1: Social Network Analysis
Natasha
Analyst, Awesometrics.
Part 2: Understanding Industry
Trend using Social Media
Introduction
Photo: Awesometrics’ backyard
5. Social Network
Community #TopikA
Community #TopicB Community #TopicC
Community #TopicD
Relationship or links
between nodes can be
based on:
• Retweet (RT: …)
• Mention (contain
@otherAccount…)
14. Take home messages for geeks
People are
clustered in a
Social Media
conversation.
We can
create a
social
network
graph based
on RETWEET
and
MENTION
relationship.
RETWEET is
the best
feature for
Social
Network
graph.
15. Take home messages for enthusiasts
Find the most NATURALLY engaged influencers
for your products.
Spot influencers who use robots in amplifying
their tweets.
Find the best clusters to promote your products
based on naturally connected people.
You can
16. Part 2: Understanding Industry Trend
using Social Media
Case study: Jilbab Industry
Natasha
17. Warna Dominan dan Asosiasi Penggunaan Kata
Putih
Hijau
Pink
66%
16%
16%
Busana Muslim
Putih
Hitam
Pink
Orange
Hijab
26%
3%
57%
10%
4%47%
26%
22%
5%
3%
11%
Jilbab
Twitter: (1 - 28 Jan’ 2015)
21. Take home messages
Terdapat perbedaan yang cukup mencolok pada strategi di
ketiga brand:
Zoya lebih memilih promosi menggunakan film layar lebar untuk
memperkenalkan produknya.
Elzatta cenderung memperkenalkan produknya melalui televisi
dengan mensponsori sinetron.
Rabbani menggunakan community engagement sebagai cara
berpromosi. Ini dilakukan dengan memanfaatkan brand
ambassador-nya yaitu Fatin yang dapat menjadi representasi
bagi kaum remaja