A Framework of Organic Streams: Integrating Dynamically Diversified Contents into Ubiquitous Personal Study

Hong, Chen; Zhou, Xiaokang; Man, Haifeng; Wu, Yan; Ahmed, Ashraf Uddin; Jin, Qun

doi:10.1109/uic-atc.2010.79

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…In order to illuminate the organization of social streams, we introduce a set of metaphors to represent these kinds of data streams with a hierarchical structure as follows [7].…”

Section: Metaphors For Social Streamsmentioning

confidence: 99%

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A heuristic approach to discovering user correlations from organized social stream data

Zhou

Jin

2014

Multimed Tools Appl

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Recently, with the widespread popularity of SNS (Social Network Service), such as Twitter, Facebook, people are increasingly accustomed to sharing feeling, experience and knowledge with each other on Internet. The high accessibility of these web sites has allowed the information to be spread across the social media more quickly and widely, which leads to more and more populations being engaged into this so-called social stream environment. All these make the organization of user relationships become increasingly important and necessary. In this study, we try to discover the potential and dynamical user correlations using those organized social streams in accordance with users' current interests and needs, in order to assist the collaborative information seeking process. We develop a heuristic approach to build a Dynamically Socialized User Networking (DSUN) model, and define a set of measures (such as interest degree, and popularity degree) and concepts (such as complementary tie, weak tie, and strong tie), to discover and represent users' current profiling and dynamical correlations. The corresponding algorithms are developed respectively. Finally, the architecture of the functional modules is presented, and the experiment results are demonstrated and discussed based on an application of the proposed model.

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“…In order to illuminate the organization of social streams, we introduce a set of metaphors to represent these kinds of data streams with a hierarchical structure as follows [7].…”

Section: Metaphors For Social Streamsmentioning

confidence: 99%

“…In our previous study, we have introduced and defined a set of metaphors to represent a variety of social stream data with a hierarchical structure [7]. We have developed two algorithms to assist users' information seeking which can best fit users' current interests and needs [36].…”

mentioning

confidence: 99%

A heuristic approach to discovering user correlations from organized social stream data

Zhou

Jin

2014

Multimed Tools Appl

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“…To seek information for a specific user, we introduce the metaphors for data streams as follows [14].…”

Section: Metaphors For Streamsmentioning

confidence: 99%

“…Differing with the definition of ripple in [14] which is formed naturally in the river, the ripple defined in this paper is formed artificially in an associative way, which is called an associative ripple, and produced by throwing a heuristic stone into the river.…”

Section: Figure 1 Metaphors For Data Streamsmentioning

confidence: 99%

Generating associative ripples of relevant information from a variety of data streams by throwing a heuristic stone

Zhou

Hong

Jin

et al. 2011

Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication

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Recently, the vast dialog in the microblog, such as twitter, Facebook has become increasingly popular. As we post more messages in microblogs, information is spreading more quickly and widely. These widely spreaded and diversified contents could be viewed as data streams, which have become an important part of the Internet resources. However, these separated data streams are littery and meaningless, so we need to collect and organize them together to provide us with meaningful information. It is hard to imagine that we could find useful information by simply inputting a few keywords into a search engine in such a stream environment. In this study, we try to find a way to seek the information related to users' personal and current interests and needs among these data streams and provide users with other more relevant information. We introduce a set of metaphors to represent a variety of data streams in different levels, and define two new metaphors: heuristic stone and associative ripple to assist the seeking process and describe the results. Based on these, we further propose two algorithms for the information seeking and processing, and discuss a scenario of the information seeking process that utilizes the proposed metaphors and algorithms.

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“…We introduce and define a set of new metaphors: Drop, Stream, River and Ocean, to represent a variety of social stream data, and propose a Framework of Organic Streams [6] to meaningfully organize these stream data. We develop algorithms to make the framework to effectively work for the socialized UPS.…”

Section: Introductionmentioning

confidence: 99%

Socialized ubiquitous personal study: Toward an individualized information portal

Hong¹,

Zhou²,

Jin³

2012

Journal of Computer and System Sciences

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Recently, SNS (Social Network Service), blog and microblog have become very popular. Stream data, a large collection of diverse contents that are created dynamically in the form of streams, have become an important part of the Internet resources. At the same time, it has become easier to collect people's activities as their lifelogs, not only in the cyber space, but also in the physical world by means of ubiquitous and sensing technology. Either stream data or lifelogs represent different aspects of people's information behaviors and social activities, which we call Social Streams. In this study, we try to integrate and organize these social stream data, such as Twitter Tweets, into Ubiquitous Personal Study (UPS) proposed in our previous study. In this paper, we introduce and define a set of new metaphors: Drop, Stream, River and Ocean, to represent a variety of social stream data in different stages, in order to enable UPS socialized toward an individualized information portal. We further propose a Framework of Organic Streams to meaningfully organize these stream data. We discuss the design and implementation issues of a prototype system, and describe the algorithms to realize our proposed metaphors. Moreover, we show a scenario of using the socialized UPS to support learning activities, with experimental data and analysis results.

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A Framework of Organic Streams: Integrating Dynamically Diversified Contents into Ubiquitous Personal Study

Cited by 10 publications

References 6 publications

A heuristic approach to discovering user correlations from organized social stream data

A heuristic approach to discovering user correlations from organized social stream data

Generating associative ripples of relevant information from a variety of data streams by throwing a heuristic stone

Socialized ubiquitous personal study: Toward an individualized information portal

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