scholarly journals Educational Service and Information Sharing Mechanism of University Library Based on Internet Social Network

2020 ◽  
Vol 1682 ◽  
pp. 012080
Author(s):  
Luyang Meng ◽  
Hua Shao ◽  
Hong Pang ◽  
Chaoqian Teng
Keyword(s):  
Social Network ◽  
Information Sharing ◽  
Educational Service ◽  
University Library ◽  
Information Sharing Mechanism

Research on the Constructs of Small and Medium-Sized Enterprise Dynamic Alliance Information Platform Based on the ASP and Information Sharing

2012 ◽  
Vol 452-453 ◽  
pp. 474-480
Author(s):  
You Fa Wang ◽  
Ming Xing Li
Keyword(s):  
Information Sharing ◽  
Present Situation ◽  
Positive Contribution ◽  
Application Service Provider ◽  
Information Platform ◽  
Enterprise Informatization ◽  
Dynamic Alliance ◽  
Application Service ◽  
Effective Operation ◽  
Information Sharing Mechanism

The purpose of this paper was to solve the problem of constructing information platform for small and medium-sized enterprise dynamic alliance. According to the present situation of Chinese small and medium-sized enterprise informatization, the research on ASP(application service provider) model proposed to construct the small and medium-sized enterprise dynamic alliance information platform, expounded the advantages of ASP, proposed the small and medium-sized enterprise dynamic alliance information platform of information sharing mechanism. The formation of small and medium-sized enterprises of dynamic alliance effective operation had certain positive contribution. In this paper, the innovation of originality focuses on building small and medium-sized enterprise dynamic alliance information platform base on ASP model.

A Microblog Classification Algorithm for Real-Time Search

2013 ◽  
Vol 411-414 ◽  
pp. 411-414
Author(s):  
Jing Bo Yuan ◽  
Bai Rong Wang ◽  
Ji Hao Yang ◽  
Shun Li Ding
Keyword(s):  
Social Network ◽  
Information Sharing ◽  
Real Time ◽  
Search Time ◽  
Classification Algorithm ◽  
Test Results ◽  
Question Classification ◽  
Query Classification

As a social network, microblog has obtained great attention and gotten wide application. Applications of microblog need to retrieve quickly information with the support of real-time search technology in order to implement information sharing. A query classification algorithm of microblog for real-time search was put forward. Based on question classification mechanism, the algorithm divides queries into two categories: the candidate queries and the popular queries, and takes separate storage strategy. Test results show that the classification algorithm can reduce real-time search time and improve the efficiency of retrieval.

Misinterpretation of Hereditary Breast Cancer Risk and Its Association with Information Sharing Motives among Women at Low Likelihood of Carrying a BRCA1/2 Mutation

2020 ◽  
pp. 1-5
Author(s):  
Jingsong Zhao ◽  
Colleen M. McBride ◽  
Yue Guan
Keyword(s):  
Breast Cancer ◽  
Social Network ◽  
Family History ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Information Sharing ◽  
Hereditary Breast Cancer ◽  
Online Survey ◽  
Screen Result ◽  
Communication Needs

<b><i>Purpose:</i></b> In this brief report, we ask whether women’s interpretation of breast cancer risk based on their low likelihood of carrying a <i>BRCA1/2</i> mutation is associated with their information-sharing behavior, and whether misinterpretation is associated with motives for sharing the result. <b><i>Methods:</i></b> Women in mammography clinics who completed a brief family history assessment and deemed to be at low likelihood of carrying a <i>BRCA1/2</i> mutation were asked to complete a 1-time online survey between June 2016 and January 2017. <b><i>Results:</i></b> One-third (44/148) of women shared their family history screen result with someone in their social network. Result information was shared largely with a first-degree female relative to express feelings of relief (77%, 33/43). There were no differences in likelihood of sharing based on breast cancer risk interpretation. However, women who misinterpreted the implications of the result for general breast cancer risk reported more motives to share the result with their social network than those who accurately interpreted their breast cancer risk. <b><i>Conclusions:</i></b> As family history-based screening for hereditary breast cancer is broadly implemented, the communication needs of the majority of women who will be unlikely of carrying a <i>BRCA1/2</i> mutation must be considered. The motives of women who misinterpreted the implications of this result for breast cancer risk suggest the possibility that miscommunication could be spread to the broader family network.

Applied Technology in Analysis of Status Quo of University Library Social Network Service and the Treatment Countermeasures

2014 ◽  
Vol 915-916 ◽  
pp. 1327-1331
Author(s):  
Kong Guo Zhu
Keyword(s):  
Knowledge Management ◽  
Social Network ◽  
University Students ◽  
Learning Community ◽  
Evolutionary Game ◽  
Evolutionary Process ◽  
Network Service ◽  
Social Network Service ◽  
University Library ◽  
The Status

More and more university students is getting used to get information through SNS (Social Network Service) as the development of network technology, this make university library SNS play a positive and significant role in university students. Because of the speed and advantages of popularity of SNS, using SNS to make the students establish virtual learning community become the study object of many university libraries. The paper established the evolutionary game model of knowledge management of university library SNS, and analysed its dynamic evolutionary process. Moreover, key factors such as the income, cost, the status of the knowledge management and knowledge absorption which affects the effectiveness of knowledge management were discussed. Finally, the measures on the improvement of domestic university library SNS were put forward.

Understanding Professional Athletes’ Use of Twitter: A Content Analysis of Athlete Tweets

2010 ◽  
Vol 3 (4) ◽  
pp. 454-471 ◽  
Author(s):  
Marion E. Hambrick ◽  
Jason M. Simmons ◽  
Greg P. Greenhalgh ◽  
T. Christopher Greenwell
Keyword(s):  
Content Analysis ◽  
Social Network ◽  
Information Sharing ◽  
Online Social Network ◽  
Large Percentage ◽  
Professional Athletes

The online social network Twitter has grown exponentially since 2008. The current study examined Twitter use among professional athletes who use Twitter to communicate with fans and other players. The study used content analysis to place 1,962 tweets by professional athletes into one of six categories: interactivity, diversion, information sharing, content, promotional, and fanship. Many of the tweets fell into the interactivity category (34%). Athletes used Twitter to converse directly with their followers. Those with the most followers had more interactivity tweets. A large percentage of tweets (28%) fell into the diversion category, because many of the tweets involved non-sports-related topics, and relatively few of the tweets (15%) involved players discussing their own teams or sports. In addition, only 5% of the tweets were promotional in nature, indicating that professional athletes may not be taking advantage of the promotional opportunities Twitter may provide.

Sign in / Sign up

Export Citation Format

Share Document