[NRG] Reminder: BU/CS DaMP–Social WORKSHOP @ Thu Jul 11, 2013 9am - 2pm (NRG Calendar)

Google Calendar calendar-notification at google.com
Sat Jul 6 09:00:12 EDT 2013


This is a reminder for:

Title: BU/CS DaMP–Social WORKSHOP
Announcing the BU/CS DaMP–Social WORKSHOP

Note: RSVP required to attend.

On July 11 BU/CS will hold a 3/4-day workshop on data mining, privacy, and  
social networks at BU (DaMP-Social).

Location: Hariri Institute, 111 Cummington Mall.

The workshop will run from 9am to 2pm.   A light lunch will be served.

Participation will be on a first-come, first-served basis.   To attend,  
RSVP to  Larissa Spinelli (lspinell at bu.edu) or Giovanni Comarela  
(gcom at bu.edu)

We have the confirmed speakers:

Saikat Guha (MSR India)
Virgilio Almeida (UFMG Brazil)
Wagner Meira (UFMG Brazil)
Raphael Ottoni (UFMG Brazil - MSc student)
João Paulo Pesce (UFMG Brazil -MSc student)
Bruno Ribeiro (UMASS)
Davide Proserpio (BU/CS)

More details:

Saikat Guha (MSR India)

Virgilio Almeida (UFMG Brazil): Title: "Exploring Very Large Data Sets   
from Online Social Networks"
Abstract: The explosion of the volume of digital data currently available  
in social networks has created new opportunities for scientific discoveries  
in the realm of social media. In particular, I show our recent progress in   
understanding user preferences, data mining,  and explorative analysis of  
very large data sets.  As an example, I present  a detailed analysis of   
Google+ social network, based on large-scale crawls of over 27 million user  
profiles that represented nearly 50% of the entire network in 2011.  I also  
discuss key differences and similarities with other popular networks like  
Facebook and Twitter to understand whether the characteristics of Google+   
make it  a new paradigm or yet another social network.

Wagner Meira (UFMG Brazil): Title: "Characterizing and understanding the  
dynamics of online social networks"
Abstract: The internet has been evolving from a communication media to an  
environment where users talk about the most diverse topics, reflecting the  
dynamics of the society at broad. Characterizing and understanding how the  
internet data may be used for assessing real events becomes a key component  
of many Internet-based applications and demands the development of new data  
mining models and techniques. Data mining in such scenarios is challenging  
because the data is intrinsically uncertain and multi-scale, the patterns  
to be mined are complex and evolve through time, and there is a huge amount  
of information that need to be processed in real time. In this talk we  
present a framework for the research and development of data mining models,  
algorithms and systems that target these challenging scenarios. We also  
present the Web Observatory, a platform for collecting, analyzing and  
presenting, at real time, information mined from social networks and the  
web, as well as some of its instances that focused on sports, politics, and  
health.

Davide Proserpio (BU/CS)
Title: "The Rise of the Sharing Economy: Measuring the Impact of Airbnb"	
Abstract: Airbnb.com is as an online community marketplace that facilitates  
short-term rentals of "unique spaces" around the world. Since its launch,  
Airbnb has grown from a few hundred bookings in 2008, to over ten million  
nights of cumulative bookings worldwide by the end of 2012, spanning more  
than 300000 units in over 30000 cities in 192 countries. In this paper we  
investigate the consequences of the rise of Airbnb as seen by the local  
economy. In particular, we are interested in quantifying the impact of the  
Airbnb growth on the local hotel industry. To explore this research  
question, we leverage a dataset of reviews that we have collected from  
Airbnb.com. We found that Airbnb has a negative impact on hotel's revenue.  
Speciffically, our model provides evidence that lower price hotels, i.e.,  
hotel classiffied into budget and economy categories, have experienced a  
decrease in Revenue Per Available Room (RevPAR), a common econometric used  
in the hotel industry. Our results complement several commissioned studies  
on positive impact of Airbnb on the local economy, which we are  
investigating using other datasets.

Bruno Ribeiro (UMASS)
Title: "Understanding the growth and death of social networks: evidence and  
model"
Abstract: Online Social Networks (OSNs) are multi-billion dollar  
enterprises. Surprisingly, little is known about the mechanisms that drive  
them to growth, stability, or death. In this talk I will show data on the  
relationship between subscriber activity and network growth of a large OSN  
measured over five years. Using this data I formulate three hypotheses that  
together describe the observed OSN subscriber behavior. I will describe a  
model (and extensions) that simultaneously satisfies all three hypotheses.  
The model provides deep insights into the dynamics of subscriber activity,  
inactivity, and network growth rates. The model predicts four types of OSNs  
with respect to subscriber activity evolution. Finally, I present activity  
data of nearly thirty OSN websites, also measured over five years, and show  
that the observed activity is well described by one of the four activity  
time series predicted by the model.

Raphael Ottoni (UFMG Brazil - MSc student)
Title: "Ladies First: Analyzing Gender Roles and Behaviors in Pinterest"
Abstract: Online social networks (OSNs) have become popular platforms for  
people to connect and interact with each other. Among those networks,  
Pinterest has recently become noteworthy for its growth and promotion of  
visual over textual content. The purpose of this study is to analyze this  
image based network in a gender-sensitive fashion, in order to understand  
(i) user motivation and usage pattern in the network, (ii) how  
communications and social interactions happen and (iii) how users describe  
themselves to others. This work is based on more than 220 million items  
generated by 683,273 users. We were able to find significant differences  
w.r.t. all mentioned aspects. We observed that, although the network does  
not encourage direct social communication, females make more use of  
lightweight interactions than males. Moreover, females invest more effort  
in reciprocating social links, are more active and generalist in content  
generation, and describe themselves using words of affection and positive  
emotions. Males, on the other hand, are more likely to be specialists and  
tend to describe themselves in an assertive way. We also observed that each  
gender has different interests in the network, females tend to make more  
use of the network’s commercial capabilities, while males are more prone to  
the role of curators of items that reflect their personal taste. It is  
important to understand gender differences in online social networks, so  
one can design services and applications that leverage human social  
interactions and provide more targeted and relevant user experiences.

João Paulo Pesce (UFMG Brazil -MSc student)
Title: "Psychological Maps 2.0: A Web Engagement Enterprise Starting in  
London"
Abstract: Planners and social psychologists have suggested that the  
recognizability of the urban environment is linked to people's  
socio-economic well-being. We build a web game that puts the  
recognizability of London's streets to the test. It follows as closely as  
possible one experiment done by Stanley Milgram in 1972. The game picks up  
random locations from Google Street View and tests users to see if they can  
judge the location in terms of closest subway station, borough, or region.  
Each participant dedicates only few minutes to the task (as opposed to 90  
minutes in Milgram's). We collect data from 2,255 participants (one order  
of magnitude a larger sample) and build a recognizability map of London  
based on their responses. We find that some boroughs have little cognitive  
representation; that recognizability of an area is explained partly by its  
exposure to Flickr and Foursquare users and mostly by its exposure to  
subway passengers; and that areas with low recognizability do not fare any  
worse on the economic indicators of income, education, and employment, but  
they do significantly suffer from social problems of housing deprivation,  
poor living conditions, and crime. These results could not have been  
produced without analyzing life off - and online: that is, without  
considering the interactions between urban places in the phy
When: Thu Jul 11, 2013 9am – 2pm Eastern Time
Where: Hariri Institute, 111 Cummington Mall, Boston, MA 02215
Calendar: NRG Calendar
Who:
     * Larissa Spinelli - creator

Event details:  
https://www.google.com/calendar/event?action=VIEW&eid=OXZpNGM1MGFidWVvZHVpZ3ByMDk1ZDJlaWcgNTYwam42bnQ1aGo0b2YzcnNyaWNoZnB0aW9AZw

Invitation from Google Calendar: https://www.google.com/calendar/

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