Date post: | 25-Jun-2015 |
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MY COMPLEX NETWORKS PROJECT
Observation of my friend’s behavior related to food choices
Observation of the summer camp obese teenagers
Why people become fat?
• Genetics
• Money
• Friends
Is it a choice?
What makes people eat what they eat?
Why some people say that they want to lose fat but still having the same habits related to food even knowing about nutrition and knowing that they shouldn’t eat what they are eating?
HOW EVERYTHING STARTED?
NICHOLAS A. CHRISTAKISThe Spread of Obesity in a Large Social Network over 32 Years
If the obesity spreads through network, the same thing can be observed with #fitness and #eatclean behaviors?
• A special attention must be given to the word behavior because the fact of people posting something doesn’t mean that he is doing what he is saying that he is doing.
• I don’t have the body mass measurements of the users of twitter.
WHAT DO I HAVE?
• Tweets with the hashtags #eatclean and #fitness
• Users and followers of the users
• Followers that also posted a tweet with the hashtags #eatclean and #fitness
HOW MUCH DATA DO I HAVE?
Tweets:
522188
!
Users:
79719
DEFINITION OF THE NETWORK: NODES AND RELATIONSHIP(S)
HOW AM I STORING THE DATA?
WHAT ELSE AM I USING?
• Python
• Pymongo
• Tweepy
• Networkx
HOW IT LOOKS LIKE(Sample data)
WHAT CAN I DO?
• Sentiment analysis
• Homophily measurement using sentiment analysis
• Government data about obesity (Geolocalization)
• Geolocalization of the users
RELATED WORKS• Theodore A. Vickey,1 Kathleen Martin Ginis, Maciej Dabrowski. Twitter classification model: the ABC of two million
fitness tweets.
• Morgan R. Frank, Lewis Mitchell, Peter Sheridan Dodds & Christopher M. Danforth. Happiness and the Patterns of Life: A Study of Geolocated Tweets. Scientific Reports. 3: 2625. 2013
• Johan Bollen, Bruno Goncalves, Guangchen Ruan, Huina Mao. Happiness is assortative in online social networks. Artificial Life. Vol. 17, No. 3, Pages 237-251.
• Nicholas A. Christakis, James H. Fowler. The Spread of Obesity in a Large Social Network over 32 Years
• Anna Chmiel, Julian Sienkiewicz, Mike Thelwall, Georgios Paltoglou, Kevan Buckley, Arvid Kappas, Janusz A. Hołyst. Collective Emotions Online and Their Influence on Community Life.
• Bagozzi, Richard P;Dholakia, Utpal M. Intentional social action in virtual communities. Journal of Interactive Marketing; Spring 2002; 16, 2; ABI/INFORM Complete pg. 2
• Yuriy Hulovatyy, Sidney D’Mello, Rafael A. Calvo, and Tijana Milenković. Network analysis improves interpretation of affective physiological data. jcomplexnetw 2014 : cnu032v1-cnu032.
• Apoorv Agarwal Boyi Xie Ilia Vovsha Owen Rambow Rebecca Passonneau. Sentiment Analysis of Twitter Data .Department of Computer Science Columbia University. New York, NY 10027 USA.