1. Flux of MEME
future prediction through social network semantics
working capital Bologna - 9.6.10
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Wednesday, June 2, 2010

2. geo tagging is constantly growing
geotagger’s world atlas - http://www.flickr.com/photos/walkingsf/sets/72157623971287575/
Meme: a postulated unit or element of cultural ideas transmitted from
one mind to another through speech or similar phenomena.
Zeitgeist: German language expression referring to
"the spirit of the times".
Semantic Web: an evolving development of the World Wide Web in which the meaning
(semantics) of information on the web is defined, making it possible for machines to process it
Flux of MEME: analysis of the whole world Zeitgeist using geo-localized
Memes, updated and shared on social media through mobile networks
it is Asimov's psychohistory, it means predicting the future
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Wednesday, June 2, 2010

3. Background -
Twitter has become an essential tool for gathering comments around events and news.
“over 60% of registered Twitter accounts
come from outside the US”
“Tweets grew 1,400% last year to 35 million
per day. Today, we are seeing 50 million
tweets per day (avg. 600 tweets per sec.)”
Make Twitter truly location-aware. A new API
will allow developers to add latitude and
longitude to any tweet.
Asur, Huberman - Predicting the future with social media
Yahoo Research - Shamma et al. 2010
- Conversational Shadows: Describing Live Media Events Using Short Messages
- Can the Twitter Timeline Reveal the Structure of Broadcast Events?
Mashable - HOW TO: Track Iran Election with Twitter and Social Media, http://mashable.com/
2009/06/14/new-media-iran/
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Wednesday, June 2, 2010

4. Problems + Competitors
Real world problems:
brand positioning
marketing
mobile entertainment
real-time geo-located news
Competitors:
http://www.crimsonhexagon.com/home/ - Understand what the online conversation really
means for your brand.
https://recordedfuture.com/ - A new predictive analysis tool that allows you to visualize the
future, past or present
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Wednesday, June 2, 2010

5. Solution
analyze text (term extraction - concept expansion), images, geo-location information
classify and cluster using semantic web
perform image clustering and associated text
apply results to different media (reports, mobile apps, etc.)
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Wednesday, June 2, 2010

6. Novelty and potentials
Q: what is unique in this idea?
A: competitors are not using semantic web combined with geo-reference (not yet)
Q: market
A: huge, if considering value added services and market analysis that take care of real-time web
Q: how long does it take, and how much money, for the implementation?
A: between 6 months and 1 year for 1st phase of R&D with at least 5 HR units (approx.
€150.000 during 1st year + startup)
Q: business model & exit strategy
A: sell real-time stats for market analysis and mobile applications/freemium services
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Wednesday, June 2, 2010

7. Team
Thomas M. Alisi, PhD
Giuseppe Serra, PhD candidate
potential access to students/researchers at MICC - Media Integration and Communication
Center, Università degli Studi di Firenze
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Wednesday, June 2, 2010

8. Q&A
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Wednesday, June 2, 2010