Instagram Driven Social Media Analyticssuresh.sood@uts.edu.au

xinhua.zhu@uts.edu.au

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