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Flux of MEME


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Flux of MEME

  1. 1. Flux of MEME future prediction through social network semantics working capital Bologna - 9.6.10 Thomas M. Alisi, PhD - Giuseppe Serra image courtesy: 1 Wednesday, June 2, 2010
  2. 2. geo tagging is constantly growing geotagger’s world atlas - 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 Thomas M. Alisi, PhD - Giuseppe Serra image courtesy: 2 Wednesday, June 2, 2010
  3. 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, 2009/06/14/new-media-iran/ Thomas M. Alisi, PhD - Giuseppe Serra image courtesy: 3 Wednesday, June 2, 2010
  4. 4. Problems + Competitors Real world problems: brand positioning marketing mobile entertainment real-time geo-located news Competitors: - Understand what the online conversation really means for your brand. - A new predictive analysis tool that allows you to visualize the future, past or present Thomas M. Alisi, PhD - Giuseppe Serra image courtesy: 4 Wednesday, June 2, 2010
  5. 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.) Thomas M. Alisi, PhD - Giuseppe Serra image courtesy: 5 Wednesday, June 2, 2010
  6. 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 Thomas M. Alisi, PhD - Giuseppe Serra image courtesy: 6 Wednesday, June 2, 2010
  7. 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 Thomas M. Alisi, PhD - Giuseppe Serra image courtesy: 7 Wednesday, June 2, 2010
  8. 8. Q&A Thomas M. Alisi, PhD - Giuseppe Serra image courtesy: 8 Wednesday, June 2, 2010