Development Of Microblog Research Articles

Topic representation model based on microblogging behavior analysis

With the development of microblogging, it has become an important way for people to obtain information, express opinions, and make suggestions. Identifying new topics quickly and accurately from the massive microblogging data plays a crucial role for recommending information and controlling public opinion. The topic representation model provides a basis for topic detection. In this paper, we propose a topic representation model based on user behavior analysis, i.e., microblogging behavior analysis-latent Dirichlet allocation (MBA-LDA) model, for microblogging datasets. Topic-word distribution is acquired by the LDA model which considers information on user behaviors (such as posting, forwarding and commenting) and word distribution among documents within one topic and among different topics. The model also re-assesses the importance of words in topic representation. The basic idea is that the distribution of words within a topic or among different topics has a great influence on the selection of topic expression words. If a word is evenly distributed among all documents of a certain topic, it indicates that the word is the common word of all documents in the topic, and it is more suitable to represent this topic. If a word is more evenly distributed among various topics, it indicates that the word is the common word of all topics, and it can’t achieve the purpose of distinguishing topics, so it is less suitable to represent any topic. By experiments with Sina Microblogging’s actual data set, the topic model based on the MBA-LDA algorithm makes the representative words more important and increases the differentiation of topic words, which effectively improves the accuracy of subsequent topic detection and evolutionary analysis.

Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms

With the development of microblogs, selling and buying appear in online social platforms such as Sina Weibo and Wechat. Besides Mandarin, Tibetan language is also used to describe products and customers’ opinions. In this paper, we are interested in analyzing the emotions of Tibetan microblogs, which are helpful to understand opinions and product reviews for Tibetan customers. It is challenging since existing studies paid little attention to Tibetan language. Our key idea is to express Tibetan microblogs as vectors and then classify them. To express microblogs more fully, we select two kinds of features, which are sequential features and semantic features. In addition, our experimental results on the Sina Weibo dataset clearly demonstrate the effectiveness of feature selection and the efficiency of our classification method.

Micro-blog topic detection method based on BTM topic model and K-means clustering algorithm

The development of micro-blog, generating large-scale short texts, provides people with convenient communication. In the meantime, discovering topics from short texts genuinely becomes an intractable problem. It was hard for traditional topic model-to-model short texts, such as probabilistic latent semantic analysis (PLSA) and Latent Dirichlet Allocation (LDA). They suffered from the severe data sparsity when disposed short texts. Moreover, K-means clustering algorithm can make topics discriminative when datasets is intensive and the difference among topic documents is distinct. In this paper, BTM topic model is employed to process short texts–micro-blog data for alleviating the problem of sparsity. At the same time, we integrating K-means clustering algorithm into BTM (Biterm Topic Model) for topics discovery further. The results of experiments on Sina micro-blog short text collections demonstrate that our method can discover topics effectively.

Modeling the heterogeneity of human dynamics based on the measurements of influential users in Sina Microblog

Online social network has become an indispensable communication tool in the information age. The development of microblog also provides us a great opportunity to study human dynamics that play a crucial role in the design of efficient communication systems. In this paper we study the characteristics of the tweeting behavior based on the data collected from Sina Microblog. The user activity level is measured to characterize how often a user posts a tweet. We find that the user activity level follows a bimodal distribution. That is, the microblog users tend to be either active or inactive. The inter-tweeting time distribution is then measured at both the aggregate and individual levels. We find that the inter-tweeting time follows a piecewise power law distribution of two tails. Furthermore, the exponents of the two tails have different correlations with the user activity level. These findings demonstrate that the dynamics of the tweeting behavior are heterogeneous in different time scales. We then develop a dynamic model co-driven by the memory and the interest mechanism to characterize the heterogeneity. The numerical simulations validate the model and verify that the short time interval tweeting behavior is driven by the memory mechanism while the long time interval behavior by the interest mechanism.

Research on the Design and Application of Micro Blog Network Marketing into the Global Trade

The emergence and rapid development of Micro Blog has provided a new, swift and effective tool for the international trade. Nowadays this new tool is called Micro Blog internet marketing. Compared with blog, the micro log is much more convenient and the issued content is much more brief which makes the users issue messages timely and usually it is a much more effective channel for the readers and the bloggers to communicate with each other. Micro blog has quickly become a popular tool to communicate and every website has begun to open their own micro blog to propaganda their companies. The micro blog internet marketing can reduce the cost of international trade, improve trade efficiency and customer satisfaction and improve the enterprises’ awareness of competition. Therefore to lay much more emphasis on the role that the micro blog internet marketing has played in international trade is a must in the new century. This is also a way to increase the construction of internet information, thus regulating the micro internet marketing and promoting the healthy development of this field.

War of Position and Microblogging in China

Our study examines the nature and development of microblogging in China. By adopting a Gramscian thesis of ‘hegemony’, we argue that the Chinese regime is facing a crisis of hegemony and the emergence of the microblogosphere has provided a platform for the war of position to establish counter-hegemony. The main features of microblogging in China are the emergence of opinion leaders, the close involvement of traditional media, and a more passive role of the state in the microblogosphere. The predominant liberal leaning of the microblogosphere has illustrated the emergence of counter-hegemony, where government connection is an instant negativity. The regime can exercise censorship but has lost ideational leadership.

商业性微博公关活动研究

在这个信息高速传播的时代，“织围脖”已经成了一个流行词语，微博的发展渐渐有超过即时通讯工具和传统的SNS社交网站的趋势。自2006年微博的创始twitter产生后，我国内地的微博就有了20多家。新浪等微博巨头占据了微博市场绝大多数份额，从而也引发了其余网站的争夺之势。微博是一种前所未有的媒体传播方式，微博的传播速度是裂变型甚至病毒式的，这超过了其他传统媒体传播方式的效果。众多企业也开始考虑利用微博为自己的产品市场开拓新的道路。在我国内地，已经有包括VANCL、戴尔、欧莱雅、杜蕾斯等企业在新浪微博的平台上开始尝试开展微博公关活动及市场营销策略，以此来提升品牌影响力，扩大产品知名度，并做到与消费者零距离沟通。在这个快速发展的“微博时代”，对于企业来说，寻找的不仅是表面上的繁荣，更是可以开拓的蓝海。 At the age of high-speed information transmission, “woven collar” has become a popular word, and the development of microblogging has the trend to surpass the instant messaging tools and traditional SNS websites. Since twitter which was the founding microblogging generated in 2006, there are more than 20 websites providing the service of microblogging in the Mainland of China. Sina and other giant companies have accounted for the vast majority of the microblogging market share, giving rise to the contention of other websites. Microblogging is an unprecedented media form of communication, and the propagation velocity of microblogging is fission or even viral, which is more than the effect of other traditional media forms of communication. Many enterprises have begun to consider using the microblogging market for opening a new road of their products. In the Mainland of China, there are some enterprises containing VANCL, DELL, LOREAL, and DUREX beginning to try the microblog public relations activities and marketing strategy in Sina microblog platform, so as to enhance brand influence, expand product well-knowingness and communicate with consumer without distance. In this fast-paced “microblogging era”, for the enterprise, not only the surface of prosperity can be found, but also it is possible to explore the “blue ocean” of the market.

Media and civil society in China

Although Chinese journalists are not able to create their own independent organisations, they are engaging in informal networking on-line and off-line that has created a strong sense of community among investigative journalists in particular.1 Through sharing experiences, stories, and struggles, journalists create a collective identity and define their roles in society. Earlier studies of Chinese journalists haven’t explicitly addressed the issue of how a journalistic community is created and sustained in a society that lacks freedom of the press and where freedom of association is severely restricted, and the importance of new information and communication technologies (ICTs) in this context, which is the focus of this article. Furthermore, it is important to study the extent to which and how investigative journalists network with other groups in society, including lawyers, public intellectuals, and civil society organisations. With the development of micro-blogging (weibo) we see new forms of community building, more open expressions of solidarity and ironic resistance, as well as increasing levels of interactivity between different groups in society. By reporting on injustices and the situation of marginalized groups in society, and commenting on public events on weibo, investigative journalists interact with many different groups in society and become part of a larger community of people who share the same ideals and struggles. Some journalists go one step further and set up or become actively involved in charity work and civil society organisations.