Maturation of the Twitter Ecosystem
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maturation of the Twitter ecosystem
kevin makice (@kmakice)wednesday, july 22, 2009
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this is me
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this is me
my wife
5 tweets
10 tweets
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this is what i do
The Explanation for Design Ex-plan-ations Eli Blevis and Martin A. Siegel (2004)
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conceptual design
The Explanation for Design Ex-plan-ations Eli Blevis and Martin A. Siegel (2004)
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It is no longer sufficient to simply master the technical.
More and more, successful design requires a grounded understanding of why you are designing in the first place.
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the maturing ecosystem
a history lesson
insights from the ecosystem
iterating the developer mindset
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history of the ecosystemwhat is past is prologue
maturation of the Twitter ecosystem
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growing
November (2008) ~1,000 applications with the API
February (2009) ~2,000 applications with the API
April ~5,000 applications with the API
May ~10,000 applications with the API
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growing
November (2008) ~1,000 applications with the API
February (2009) ~2,000 applications with the API
April ~5,000 applications with the API
May ~10,000 applications with the API
Most ideas are not unique. Design is about improving upon the existing foundation of ideas.
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growing
November (2008) ~1,000 applications with the API
February (2009) ~2,000 applications with the API
April ~5,000 applications with the API
May ~10,000 applications with the API
Most ideas are not unique. Design is about improving upon the existing foundation of ideas.
Twitter Ecosystem Twinehttp://bit.ly/16Q7LP
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the pioneersearly applications of the API
maturation of the Twitter ecosystem
history of the ecosystem
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the innovatorsapplications that found a niche
maturation of the Twitter ecosystem
history of the ecosystem
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the futureareas of current interest
maturation of the Twitter ecosystem
history of the ecosystem
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insights from the ecosystemwe know what we are, but know not what we may be
maturation of the Twitter ecosystem
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interaction cycle
stream
tweet
aggregate
profile
follow network
me
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interaction cycle
stream
tweet
aggregate
profile
follow network
me
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propertiesCodeActionScript/FlashC++C#/.NETJava Objective-C/CocoaPerlPHPPL/SQLPythonRubyScalaJavaScriptEiffel
SystemsGoogleMapsFlickrYouTubeAmazonTwitterVirtualEartheBayYahooMapsdeliciousGoogle
DomainArtisans BusinessClergy ConstructionDesign EducationEngineeringFarmingGovernmentJournalismLegal Manufacturer MedicalMerchant StudentsUnskilled Workers
Most popular APIs
PlatformBrowserDesktopMashupMobileWebWidget
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propertiesCodeActionScript/FlashC++C#/.NETJava Objective-C/CocoaPerlPHPPL/SQLPythonRubyScalaJavaScriptEiffel
SystemsGoogleMapsFlickrYouTubeAmazonTwitterVirtualEartheBayYahooMapsdeliciousGoogle
DomainArtisans BusinessClergy ConstructionDesign EducationEngineeringFarmingGovernmentJournalismLegal Manufacturer MedicalMerchant StudentsUnskilled Workers
Most popular APIs
PlatformBrowserDesktopMashupMobileWebWidget
The ecosystem is a multiverse.
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valueless questions
How much does the application need context?
How quickly is the outcome from the interaction enjoyed?
Is value created individually or through contributions of a user community?
How open is the access to the interface (public vs. private)?
How much does the application focus on Network, Content, or Profile?
Is the intended use of the application Casual or Professional?
Is value created from a single tweet or an aggregation of posts?
Is the valued information reflected or calculated?
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valueless questions
Does the application maintain a historical context?
How much does this tool support anonymity?
Are users inherently part of other groups, such as by industry or geography?
How visible is the process?
Does the application service developers, authors, or consumers?
What are the metrics needed to determine the value of use?
How do those metrics influence use of Twitter and suggest behavior?
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local twittersphereapplications helping to highlight local use
maturation of the Twitter ecosystem
insights from the ecosystem
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discovering opportunityusing valueless factors to identify gaps
maturation of the Twitter ecosystem
insights from the ecosystem
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n-factor diagrams
Good Evil
Red Green
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n-factor diagrams
Small Big
Good Evil
Red Green
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n-factor diagrams
Small Big
Good Evil
Red Green
Valueless terms do not judge the properties of the design.
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content
Profile Stream
Where is the content focus of the tool?
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content
Profile Stream
Twellowhood
chirpcity
NearbyTweets Local Chirps Happn.inTwitterLocal
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dataset
Single Aggregate
What is the range of the data set needed to create value?
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dataset
Single Aggregate
Twellowhood
chirpcity
NearbyTweets Local Chirps Happn.in
TwitterLocal
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content-dataset
Profile Stream
Sin
gle
Aggre
gate
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content-dataset
Profile StreamSin
gle
Aggre
gate
Twellowhoodchirpcity
NearbyTweets
Local Chirps
Happn.in
TwitterLocal
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content-dataset
Profile StreamSin
gle
Aggre
gate
Twellowhoodchirpcity
NearbyTweets
Local Chirps
Happn.in
TwitterLocal
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concept: city mosaic
Bloomington, Indiana 57 followers | following 94
Indiana professor technology
student business
marketing fun single happy cow Hoosier
basketball
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the developer’s mindsetin the heart of in the head
maturation of the Twitter ecosystem
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1) be secureexpect the unexpected
maturation of the Twitter ecosystem
the developer’s mindset
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best practices
don't store passwords (use OAuth)
validate incoming data / FIEO (Filter Input, Escape Output)
make requests over SSL
let your users talk to you ([email protected])
consider use of random tokens to prevent forgery (CSRF)
cap repetitious interactions (i.e. logins)
make use of activity logs
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best practices
don't store passwords (use OAuth)
validate incoming data / FIEO (Filter Input, Escape Output)
make requests over SSL
let your users talk to you ([email protected])
consider use of random tokens to prevent forgery (CSRF)
cap repetitious interactions (i.e. logins)
make use of activity logs
Twitter Security Best Practiceshttp://apiwiki.twitter.com/Security-Best-Practices
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2) know your impactyour use is not their use
maturation of the Twitter ecosystem
the developer’s mindset
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developer demographics
18-50
Children
Married
Male
may 2009
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developer demographics
18-50
Children
Married
Male
may 2009
√
√
√
√
http://bit.ly/tHork
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Developers are rarely an example of a typical user.
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one man’s treasure…
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3) shareif you create new data, create an API
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the developer’s mindset
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pay it forward
http://www.webresourcesdepot.com/how-to-create-an-api-10-tutorials/
people invest heavily in APIs (learning)
you have one chance to make a good API and many opportunities to make bad (inheritance)
•easy to learn•easy to use / hard to misuse•sufficiently powerful •must be able to evolve•appropriate to audience Joshua Bloch’s talk, “How to Design a Good
API”http://www.youtube.com/watch?
v=aAb7hSCtvGw
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4) iteratedesigns are never finished
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the developer’s mindset
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people change
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5) ask & answerbe a part of the community
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the developer’s mindset
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resourcesTwitter API Wikihttp://apiwiki.twitter.comhttp://apiwiki.twitter.com/REST+API+Changelog (55 fixes & changes)
Twitter Fan Wikihttp://twitter.pbworks.com
Twitter Blogs:http://blog.twitter.com, http://apiblog.twitter.com
Twitter Developer Communityhttp://groups.google.com/group/twitter-development-talkhttp://groups.google.com/group/twitter-api-announce
Follow: @twitterapi, @tweetreport, @Twitter_Tips, and @the_api_book
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summaryfinal thoughts on the ecosystem
finding design opportunities in the Twitter ecosystem
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understand the past
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look for opportunity
Profile StreamSin
gle
Aggre
gate
Twellowhoodchirpcity
NearbyTweets
Local Chirps
Happn.in
TwitterLocal
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change your mind(set)
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justify design decisions
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We need food and Legos.
Please give our dad a
job.
We need food and Legos.
Please hire dad to do research.
I’m new.
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10,000 appsTwitter Fan Wikihttp://twitter.pbworks.com/Apps
Twitdomhttp://twitdom.com/
Go2Webhttp://www.go2web20.net/#tag:twitter
Twitter Little Starhttp://twitterlittlestar.com/
140 Characters Conferencehttp://www.140conf.com/application-directory
Twapplicationshttp://www.twapplications.net/