Jan 27, 2015
Instagram Driven Social Media [email protected]
slideshare.com://
Topic Areas
1. Motivations for Instagram project2. Pattern mining trajectories3. Analytic innovation and exploratory analysis4. Instagram analytics tools5. NoSQL- MongoDB6. Datafication 3 walk thru7. Q&A
Motivations for Instagram Project• Internet of Things (Sensors and RFID) • Indoor GPS
• Car parking “anywhere”
• Location based services e.g. advertising
• Tourist recommender system
• Food analytics and traceability (farm fork)
• Mobile apps with trajectory data e.g. Foursquare, Instagram, Nike+ EveryTrial
• Insurance “pay as you drive”– telematics black box based insurance policy
Black Box Insurance • Telematics technology (black box) helps assess the driving
behavior and deliver true driver centric premiums by capturing: – Number of journeys – Distances travelled– Types of roads – Speed– Time of travel– Acceleration and braking– Any accidents
• Benefits low mileage, smooth and safe drivers• Privacy vs. Saving monies on insurance (Canada)
– http://bit.ly/Black_box
Pattern Mining Trajectories
Group of
Trajectories
Trajectory Patterns: 1. Hot regions (basic unit)2. Trajectory pattern is relationships amongst regions
Opportunities : Location based networksDestination predictionCar-poolingPersonal route planningGroup buyingLoyalty Credit card data
Adapted from: Chang, Wei, Yeh and Peng, “Discovering Personalised Routes from Trajectories”ACM, LBSN’11, Chicago,illinois,USA, 1 November 2011
Analytic Innovation
“Let’s define analytic innovation as any type of analytical approach that is new and unique. It is something a given organization has not done before, and perhaps something nobody anywhere has done before…An analytic innovation should be focused on analyzing a new data source, solving a new problem…”
Franks, B. (2012) Taming the Big Data Tidal Wave, p. 255, John Wiley & Son
Discovery (Exploratory) Analytics
Exploratory– Unstructured– Machine learning– Data mining– Complex analysis– Data diversity
Richness
X Business Intelligence– Dashboard– Real time decisioning– Alerts– Fresh data– Response time
Speed of Query
Instagram Analytics Tools (off the shelf)• Statigram
– Lifetime likes– Total comments– New followers/last 7 days– Most liked photos
• Simply Measured– Total engagement Instagram, Facebook and Twitter– Engaging photo/filter/location– Top photos by date– Active commenters– Best time for engagement– Best day for engagement– Top filters
• Nitrogram– Countries of followers– Most engaging– Most commented– Likes and comments on a photo
MongoDB - An Innovation in Databases?“MongoDB gets the job done”
“document-oriented NoSQL database”
“MongoDB is natural choice when dealing with JSON”
“Same data model in code = same model in database”
“Data structure store to model applications”
“In MongoDB Instagram post can be stored in single collection and stored exactly as represented in the program as one object. In a relational database an Instagram post would occupy multiple tables.”
“MongoDB understands geo-spatial co-ordinates and supports geo-spatial indexing”
“Initial MongoDB prototype RedHat OpenShift (Public/Private or Community “Platform as a Service”)
Recommendation engine integrating Mahout libraries and MongoDB (see Roadmap)
As discussed @ Journey to MongoDB:Trajectory Pattern Mining in Australian InstagramBy Suresh Sood and Xinhua Zhu
**Sydney MongoDB Meetup 30 April 2013
Timeline based Trajectory Analysis
Google Map based Trajectory Analysis
Social Relationship Analysis
Location based Retrieval
Popular HashTag Analysis
Popular Image Analysis
Peak Usage Time Analysis
Active User Analysis
Roadmap
Data collection
Individual(Group) AnalysisFind Preference and Behavior pattern(including Trajectory pattern)
RecommendationRecommend right product (or service) to right person ( or group) at right time and place
Manually Automatically
Thank you!
Q/A