Do social networks improve e-commerce?

Swamynathan, Gayatri; Wilson, Christo; Boe, Bryce; Almeroth, Kevin C.; Zhao, Ben Y.

doi:10.1145/1397735.1397737

Cited by 121 publications

(54 citation statements)

References 21 publications

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“…Conventional computermediated communicative tools, such as e-mail or text-based chat, are regarded as having lower social presence and social context cues when compared to face-to-face communication. However, different authors have suggested that it is possible to manipulate the technological experience to enhance social presence and thereby improve different mediated activities 56 such as online learning, 57 e-commerce, 58 and healthcare. 59 Riva and colleagues 60 recently suggested that a subject is present within a virtual group if he is able to put his own intentions (presence) into practice and to understand the intentions of the other group members (social presence).…”

Section: Flowmentioning

confidence: 99%

Positive Technology: Using Interactive Technologies to Promote Positive Functioning

Riva

Baños

Botella

et al. 2012

Cyberpsychology, Behavior, and Social Networking

325

196

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It is generally assumed that technology assists individuals in improving the quality of their lives. However, the impact of new technologies and media on well-being and positive functioning is still somewhat controversial. In this paper, we contend that the quality of experience should become the guiding principle in the design and development of new technologies, as well as a primary metric for the evaluation of their applications. The emerging discipline of Positive Psychology provides a useful framework to address this challenge. Positive Psychology is the scientific study of optimal human functioning and flourishing. Instead of drawing on a ''disease model'' of human behavior, it focuses on factors that enable individuals and communities to thrive and build the best in life. In this paper, we propose the ''Positive Technology'' approach-the scientific and applied approach to the use of technology for improving the quality of our personal experience through its structuring, augmentation, and/or replacement-as a way of framing a suitable object of study in the field of cyberpsychology and human-computer interaction. Specifically, we suggest that it is possible to use technology to influence three specific features of our experience-affective quality, engagement/actualization, and connectedness-that serve to promote adaptive behaviors and positive functioning. In this framework, positive technologies are classified according to their effects on a specific feature of personal experience. Moreover, for each level, we have identified critical variables that can be manipulated to guide the design and development of positive technologies.

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Section: Flowmentioning

confidence: 99%

Positive Technology: Using Interactive Technologies to Promote Positive Functioning

Riva

Baños

Botella

et al. 2012

Cyberpsychology, Behavior, and Social Networking

325

196

View full text Add to dashboard Cite

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“…When two persons are not directly connected, the trust between them can be modeled by their distance (the number of hops between them). In particular, a real world study [17] finds that people tend to trust others if they are connected through some trust relationship; however, the number of hops between them must be small. Thus, given a trust radius, which constrains how far away can a trusted person be, the likelihood that the distance between one person to another is within this radius can be used to evaluate the trust between those non-adjacent pairs.…”

Section: Figure 1: Running Examplementioning

confidence: 99%

Distance-constraint reachability computation in uncertain graphs

et al. 2011

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Driven by the emerging network applications, querying and mining uncertain graphs has become increasingly important. In this paper, we investigate a fundamental problem concerning uncertain graphs, which we call the distance-constraint reachability (DCR) problem: Given two vertices s and t, what is the probability that the distance from s to t is less than or equal to a user-defined threshold d in the uncertain graph? Since this problem is #P-Complete, we focus on efficiently and accurately approximating DCR online. Our main results include two new estimators for the probabilistic reachability. One is a Horvitz-Thomson type estimator based on the unequal probabilistic sampling scheme, and the other is a novel recursive sampling estimator, which effectively combines a deterministic recursive computational procedure with a sampling process to boost the estimation accuracy. Both estimators can produce much smaller variance than the direct sampling estimator, which considers each trial to be either 1 or 0. We also present methods to make these estimators more computationally efficient. The comprehensive experiment evaluation on both real and synthetic datasets demonstrates the efficiency and accuracy of our new estimators.

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“…The benefits of online social networks have gone beyond connecting people with information, as many recent studies have exploited online social networks for a variety of important applications, including mitigating multiple identities attacks (also known as Sybil attacks) [27], improving online marketplaces [28], and spreading positive influence [29].…”

Section: Related Workmentioning

confidence: 99%

Discovering Shared Interests in Online Social Networks

Wang

2012

2012 32nd International Conference on Distributed Computing Systems Workshops

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Abstract-The capacity of rapidly disseminating information such as latest news headlines has made online social networks a popular and disruptive venue for spreading influence and distributing contents. Given the importance of online social networks, it becomes increasingly imperative to understand the shared interests of users on the popular information or contents that circulate through these networks. This paper proposes a novel graphical approach based on bipartite graphs and one-mode projection graphs to model the interactions of users and information and to capture the shared interests of users on the information. The experiments based on data-sets collected from Digg, a popular social news aggregation site, have demonstrated the proposed approach is able to discover inherent clusters of users and information within online social networks. The evaluation results also show that these clusters exhibit distinct characteristics. To the best of our knowledge, this paper is the first attempt to apply bipartite graphs and one-mode projections to shed light on the interactions of people and information in online social networks and to discover the clustered nature of users and contents.

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Do social networks improve e-commerce?

Cited by 121 publications

References 21 publications

Positive Technology: Using Interactive Technologies to Promote Positive Functioning

Positive Technology: Using Interactive Technologies to Promote Positive Functioning

Distance-constraint reachability computation in uncertain graphs

Discovering Shared Interests in Online Social Networks

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