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327
Analysis of Topological Characteristics of Huge Online Social Networking Services.
- In Proc. of ACM WWW,
, 2007
"... ABSTRACT Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, MySpa ..."
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Cited by 260 (6 self)
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ABSTRACT Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, My
Influence and correlation in social networks
- In Proc. of the 14th ACM Int. Conf. on Knowledge Discovery and Data Mining (KDD’08
"... In many online social systems, social ties between users play an important role in dictating their behavior. One of the ways this can happen is through social influence, the phenomenon that the actions of a user can induce his/her friends to behave in a similar way. In systems where social influence ..."
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Cited by 161 (1 self)
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justification of one of the tests by proving that with high probability it succeeds in ruling out influence in a rather general model of social correlation. We also simulate our tests on a number of examples designed by randomly generating actions of nodes on a real social network (from Flickr) according to one
Multigraph Sampling of Online Social Networks
- IEEE J. SEL. AREAS COMMUN. ON MEASUREMENT OF INTERNET TOPOLOGIES
, 2011
"... State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation (typically friendship). While powerful, these methods rely on the social graph being fully connected. Furthermore, the mixing time of the sampling pro ..."
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Cited by 26 (8 self)
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State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation (typically friendship). While powerful, these methods rely on the social graph being fully connected. Furthermore, the mixing time of the sampling
Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.
- Journal of Personality and Social Psychology,
, 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
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Cited by 183 (19 self)
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measures on the motivation variables using a random sample of 282 persistent students and the 282 dropout students. The results were remarkably similar to those obtained with the whole sample. 4 Because the measure of intention was not normally distributed, we performed a logarithmic transformation
Faster random walks by rewiring online social networks on-the-fly
- In ICDE
, 2013
"... Abstract — Many online social networks feature restrictive web interfaces which only allow the query of a user’s local neighbor-hood through the interface. To enable analytics over such an online social network through its restrictive web interface, many recent efforts reuse the existing Markov Chai ..."
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Cited by 5 (2 self)
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Chain Monte Carlo methods such as random walks to sample the social network and support analytics based on the samples. The problem with such an approach, however, is the large amount of queries often required (i.e., a long “mixing time”) for a random walk to reach a desired (stationary) sampling
Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream
"... Analysis of content streams gathered from social networking sites such as Twitter has several applications ranging from content search and recommendation, news detection to business analytics. However, processing large amounts of data generated on these sites in real-time poses a difficult challenge ..."
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Cited by 1 (1 self)
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challenge. To cope with the data deluge, analytics companies and researchers are increasingly resorting to sampling. In this article, we investigate the crucial question of how to sample content streams generated by users in online social networks. The traditional method is to randomly sample all the data
Materials for an exploratory theory of the network society.
- The British Journal of Sociology
, 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
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Cited by 122 (0 self)
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reliance on networks as the key feature of social morphology. While networks are old forms of social organization, they are now empowered by new information/communication technologies, so that they become able to cope at the same time with exible decentralization, and with focused decision
Estimating the size of online social networks
"... Abstract—The huge size of online social networks (OSNs) makes it prohibitively expensive to precisely measure any properties which require the knowledge of the entire graph. To estimate the size of an OSN, i.e., the number of users an OSN has, this paper introduces two estimators using widely availa ..."
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Cited by 6 (0 self)
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Abstract—The huge size of online social networks (OSNs) makes it prohibitively expensive to precisely measure any properties which require the knowledge of the entire graph. To estimate the size of an OSN, i.e., the number of users an OSN has, this paper introduces two estimators using widely
Time-Based Sampling of Social Network Activity Graphs
"... While most research in online social networks (OSNs) in the past has focused on static friendship networks, social network activity graphs are quite important as well. However, characterizing social network activity graphs is computationally intensive; reducing the size of these graphs using samplin ..."
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Cited by 17 (5 self)
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or the other requirement, but not both. In this paper, we propose a novel sampling algorithm called Streaming Time Node Sampling (STNS) that exploits temporal clustering often found in real social networks. Using real communication data collected from Facebook and Twitter, we show that STNS significantly out
and Enhancing Online Communication Networks
"... Computer-mediated communication (CMC) opens up new possibilities in the maintenance of social networks. Examples include the ability to visualize networks in real time, monitor the flow of resources, and facilitate network maintenance. This paper discusses the design of an electronic mail system, Dr ..."
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Computer-mediated communication (CMC) opens up new possibilities in the maintenance of social networks. Examples include the ability to visualize networks in real time, monitor the flow of resources, and facilitate network maintenance. This paper discusses the design of an electronic mail system
Results 1 - 10
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327