www.company.com a cloud enabled social media monitoring platform for events detection and prediction

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A Cloud Enabled Social Media Monitoring Platform for Events

Detection and Prediction

By Li Lin

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Outline

• Why we need to detect social media• Design for Social Media• How does system work• Example• Summary & Prediction

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Why?

• London Riot, 2011• People started to use

social media to organize protest.

• Huge information in social media can help us to analysis people for different purpose. Ads, News etc.

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Social Media in Our life

• YouTube, FaceBook and Twitter

• There are 1 billion register people each month in FaceBook

• Huge information treasure for ads, new

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What’s Cloud Computing

• Scalability• Support variety

of devices• It bases on

demand mechanism.

• Reliability. Real-time response. Easy maintain• In the simplest terms, cloud computing means

storing and accessing data and programs over the Internet instead of your computer's hard drive

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High Level Component Structure

• Data come from social media• Cloud Manager takes charge

of assigns work• Two types of working agents:

Monitoring agents and analysis agents.

• Resource pool stores pre-processing data an analysis data

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Low Level System Architecture

Workload Manager: Manager other agents. Generate Jobs into Job Queue Data Retrieval Manager: 4 types of Job, Search, Stream, Trends and Image Data Analysis Manager: Analysis data in different purposes. Invoke sequence: From above to bottom. Workload Mgr->Data Retrieval->Data

Analysis

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Data Structure for Agents

• 4 Types of Retrieval Job for monitor agents

• 6 Types of analysis jobs for analysis agent

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Overview of Cloud Monitor Work

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Example

1 Anna is a happy mommy and expects her baby

2 She posts her pregnant experience in social media and share it with other mommies grade of A.

3 Meanwhile, the data center detects these kinds of message and start to analyze

4 After analyzing, data center found out that there is about 20,000 pregnant women in Houston area, etc

5 This information is useful for supermarkets, online stores.Based on these data, nearby warehouses start to prepare relevant items for baby and mommy.

Anna is a happy mommy and expects her baby

6 The mommy’s needs are all predicted. All baby items are well prepared in nearby warehouse. They will be derived in a short time after Anna places an order online

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Summary & Predict

• This proposed system is highly adaptable and responsive to the non-deterministic nature of data raw.

• This module only work for text analysis. But in the future, people will

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Reference

• [1] Elhadj Benkhelifa MIEEE ,Thomas Welsh A Cloud Enabled Social Media Monitoring Platform for Events Detection and Prediction

[2] H. Achrekar, A. Gandhe, R. Lazarus, S.Yu, and B. Liu. Predicting flu trends using twitter data. In Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on, pages 702–707. IEEE, 2011.

[3] S. Asur and B. A. Huberman. Predicting the future with social media. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on,volume 1, pages 492–499. IEEE, 2010.

• [4] S. A. Baker. From the criminal crowd to the “mediated crowd”: the impact of social media on the 2011 english riots. Safer communities, 11(1):40–49, 2012.

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Q & A

Thank you