Offline Relationship

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The Experts below are selected from a list of 8370 Experts worldwide ranked by ideXlab platform

Yair Galily - One of the best experts on this subject based on the ideXlab platform.

Bo Xie - One of the best experts on this subject based on the ideXlab platform.

  • using the internet for Offline Relationship formation
    Social Science Computer Review, 2007
    Co-Authors: Bo Xie
    Abstract:

    This study examines the impact of the Internet on the online and Offline social interactions and Relationships of members of a senior-oriented computer club. Twenty semistructured, openended interviews were conducted in February 2005 to collect data. Grounded theory was used to guide data analysis. Major findings include the following: First, within this particular group of older American Internet users, there is little online interaction. The Internet is used primarily as a handy tool to obtain information rather than for developing online Relationships. Second, weak tie Relationships that develop as a result of face-to-face interactions in computer club meetings facilitate the exchange of information among members. Third, social interactions in the Offline environment also provide rich opportunities for older adults to form and maintain companionship Relationships. These findings reveal a previously ignored phenomenon: In addition to creating online social Relationships, the Internet can also affect Relationship formation in the physical world.

Tal Nadel Harony - One of the best experts on this subject based on the ideXlab platform.

Gali Einav - One of the best experts on this subject based on the ideXlab platform.

Shimin Zhao - One of the best experts on this subject based on the ideXlab platform.

  • functional oriented Relationship strength estimation from online events to Offline interactions
    Database Systems for Advanced Applications, 2018
    Co-Authors: Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu, Shimin Zhao
    Abstract:

    Link mining/analysis over network has received widespread attention from researchers. Recently, there has been growing interest in measuring Relationship strength between entities based on attribute similarity. However, limited work has assessed the competitive advantage of functional elements in Relationship strength quantification. The functional elements embody the growth/development nature of the Relationship. Motivated by the availability of large volumes of online event records that can potentially reveal underlying functional socio-economic characteristics, we study the problem of Offline Relationship strength estimation with functional elements awareness from online events. Two major challenges are identified as follows: (1) informal information, online events are of high dimensions, and not all the learnt functions of online events are predictive to Offline interactions; (2) heterogeneous dependency, it’s hard to measure the Relationship strength by modeling functional elements with network effects jointly. To handle these challenges, we propose generalized Relationship strength estimation model (gStrength), a novel approach for Relationship strength estimation. First, we define the combination of latent roles and observed groups as generalized roles, and present generalized role constrained latent topic model to make the extracted latent functions compatible with Offline interactions. Second, we model the functional elements and further extend them to structural dependency settings to quantify Relationship strength. We apply this approach to the political and economic application scenario of measuring international investment relations. The experimental results demonstrate the effectiveness of the proposed method.