Social serendipity: mobilizing social software
By Nathan Eagle, Alex Pentland. IEEE pervasive computing, 2005
561 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/5e2239112f506a29d872b423b6b6277a9e832b33
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Vania Conan
- Jérémie Leguay
- Timur Friedman
- Pan Hui
- Aravind Srinivasan
- Lee Humphreys
- George Varghese
- Madhav V. Marathe
In Information Systems and Management
- Sunny Consolvo
- Timur Friedman
- Aravind Srinivasan
- Lee Humphreys
- John Zimmerman
- Jérémie Leguay
- Madhav V. Marathe
- Vania Conan
In Sociology and Political Science
- Jason I. Hong
- James A. Landay
- Timur Friedman
- Aravind Srinivasan
- Lee Humphreys
- Jérémie Leguay
- Jon E. Froehlich
- Alan F. Smeaton
Citations in the corpus
- Mobile Data Offloading through Opportunistic Communications and Social Participation (2012, methodology): “Moreover, MoSoNets can also provide a platform to signal face-to-face interactions among nearby people who probably should know each other [17].”
- Understanding user behavior in online social networks: a survey (2013, background): “Serendipity uses Bluetooth to sense nearby people and utilizes a centralized server to decide whether two users should be introduced to each other.”
- MobiClique: middleware for mobile social networking (2009, background): “An interesting answer to the problem above was initially provided by the MIT Serendipity project [4].”
- Mobile Social Networks and Social Practice: A Case Study of Dodgeball (2007, background): “However, much of the research to date has used quasi-experimental designs (e.g., Eagle & Pentland, 2005; Paulos & Goodman, 2004; Wang & Canny, 2006) and therefore does not explore how people use such technology in their everyday lives.”
- LifeLogging: Personal Big Data (2014, background): “to continuously and passively capture the user’s context as the smartphone can now be used to record location, acceleration and movement, WiFi signal strength for indoor localisation, Woodman and Harle (2008), Bluetooth for identification of (the smartphones) of nearby users, Eagle and Pentland (200”
- A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, background): “In mobile social networks, it is also required to share actively updates [60], [62], [149], [151],”
- Evaluating Mobility Pattern Space Routing for DTNs (2005, methodology): “The second part introduces the mobility data we replayed for the evaluation.”
- I'm the mayor of my house: examining why people use foursquare - a social-driven location sharing application (2011, background): “Finally, Social Serendipity studied Bluetooth device encounters for social matching [12].”
- Cellular traffic offloading through opportunistic communications: a case study (2010, background): “Cellular Traf.c Of.oading through Opportunistic Communications: A Case Study Bo Han Department of Computer Science University of Maryland College Park, MD 20742, U.S. Madhav V. Marathe Department of Computer Science and Virginia Bioinformatics Institute Virginia Tech Blacksburg, VA 24061, USA Pan”
- MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones (2007, background): “The most popular mobile device, the mobile phone, has been adopted faster than any other technology in human history [9].”
- Into the wild: Studying real user activity patterns to guide power optimizations for mobile architectures (2009, unknown): “We also study patterns in user behavior to derive power optimizations.”