Study on Tibetan network public opinion propagation behavior

Yingxing Li, Jingwei Deng, and Kaiying Deng College of Mathematics & Computer Science

North-West University for Nationalities Lanzhou 730124 , P.R.China

liyx555@126.com

Abstract—To research on Tibetan network public sentiment emergence and propagation and the disappearance of the law, will research the main body and their role of Tibetan network public sentiment propagation. From Tibetan network public sentiment propagation with the main body of the main act begins, discussed four basic modes and the three basic feedback of the main body behavior, and use the bipartite graph theory of complex network as the main body of Tibetan network propagation through the study proved its feasibility.

Keywords- Tibetan network public sentiment the main body ; propagation behavior; complex network

I. INTRODUCTION

Tibetan is one of the world's most ancient texts, written in Tibetan voluminous literature, for recording and transmission of splendid Tibetan culture has made an important contribution. Tibetan people now are still the most basic communication tools. Tibet Autonomous Region and Tibetan are mainly distributed in Qinghai, Gansu, Sichuan and Yunnan provinces, as much as a population of about five million. Tibetan Sino-Tibetan language is Tibetan; Tibeto-Burman branch is the main communication tool for the Tibetan, Han and other nationalities live together with or adjacent to the Tibetan people, but also Kanemichi Chinese or other ethnic languages. Tibetan is a thousand years of history text. Tibetan language is widely used from the early created religious, political, economic, military and other aspects of social life.

In recent years, the CPC Central Committee's concern and support of the country, the Tibetan regional Internet penetration increasing year by year. And pure Tibetan Internet users also multiplied the number of sites increase, more and more Tibetan people through the Internet to get information and knowledge, but also use the Internet to express their emotions, attitudes, opinions and requirements, forming a Tibetan network public sentiment. Network public sentiment and public sentiment in Tibetan society, compared with the same vitality, convenient, invisible, global, real-time and openness features, the main body of public sentiment is the network users, ontology is the Internet users will, inclination and desire. As the network transmission threshold is low, fast, interactive, vast amount of information involved in heterogeneous groups, which convey the advantages of society and public sentiment continue to highlight. Various social contradictions and social problems, especially in hot and sensitive issues increasingly become the focus of the network society. The role of the network society more and

more obvious reality, virtual reality interaction with the network more powerful influence on public sentiment. Tibetan areas of social reality is produced networking and dissemination of public sentiment to push behind the invisible hand of the political, economic, livelihood and culture are the network of public sentiment, the occurrence of deep Tibetan cause. Once public sentiment occurred on the Internet, and its follow-up communication will definitely have a profound impact on our lives.

II. THE MAIN BODY AND THEIR BEHAVIOR ON TIBETAN NETWORK PUBLIC SENTIMENT PROPAGATION

Public the Sentiment (PS) is a product of human social life is very important. It is seemingly invisible traces of fuzzy, but then reality has important implications to the community, and sometimes silent lubricant, the cohesion of the people, sometimes word of gravel gold, product marketing bone destruction. On public sentiment, In addition, no authoritative definition of a generally accepted, comprehensive research in recent years, the concept of a representative of public sentiment can be divided into two broad and narrow. The definition of generalized social public sentiment involves the public on all aspects of social life, especially the hot issues of public sentiment or emotional reaction. It is the pulse of society and public sentiment naturally reveal and embody. In other words, the generalized public sentiment refers to all the needs of the public and public sentiment. From the inclusion relations point of view, the narrow public sentiment is part of a generalized social public sentiment. The concept of Internet Public the Sentiment IPS) is derived from public sentiment, is an extension of public sentiment on the Internet [1-10].

The main body behavior in the propagation of Tibetan Internet Public the Sentiment research to help deepen the understanding of the deep level of the generation and spread of the Internet public opinion on the role of a deep understanding and mastery of the main acts of the spread of Tibetan Internet Public the Sentiment, better supervision of Internet public opinion and guidance, and to grasp the dynamics of the Tibetan public opinion and actively guide the public opinion of the Tibetan areas is an important measure to maintain social stability.

III. THE RESEARCH OF IN THE MAIN BEHAVIOR PATTERNS IN TIBETAN INTERNET PUBLIC THE SENTIMENT

PROPAGATION

2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering

978-1-4799-0245-3/13/$31.00 ©2013 IEEE

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A. The classify of in the main behavior patterns in Tibetan Internet Public the Sentiment propagation Tibetan culture and profound, profound, full of brilliant

colors and distinctive personality, the Tibetan regional community has become the focus of attention of the scholars at home and abroad, Tibetology has become an international school of learning, the study of Tibetan culture from the perspective of anthropology, folklore become a hot topic of the cultural Studies in an international context. However, information dissemination point of view of interpretation is not yet really started, very little literature on the Tibetan network public opinion dissemination mechanisms.

Using Communication Theory and Tibetan Internet users to the information observed on the social behavior of Tibetan user network can be reduced to four basic communication behavior patterns and three basic feedback, combined with the individual properties of Tibetan Internet users using statistical physics Theory and computer technology we have made a large number of user behavior data, analysis, classification and statistics, and the transmission dynamics modeling.

1) The spread of Tibetan user network behavior refers to four basic modes: "Read "," Transmit ","Comment ","Write", and its specific meaning is as follows:

"Read" mode: Internet users with the audience as, in the form by clicking here to obtain information of interest, is within the spread of individual users, is the basis of other communication behaviors, their behavior will only increase the number of Internet users informed of the information.

"Transmit" mode: The main means to communicator as users use QQ, MSN, and UC and other instant messaging tools email, or groups such as interpersonal communication tools to communicate with others, share information, their behavior will lead to public sentiment, the rapid spread in the real world.

"Comment" mode: this refers to the audience or users of the dual role of communicator, through the comment thread, group chat and other interactive forms of exchanges and discussions with others, that his attitude, part of the mass communication model, its behavior reflects the users of the relevant Attention and participation events.

"Write" mode: the Evangelist as users, through the press, microblog, blog, community and forums conducted by the form of mass communication or group communication. Increase or extend the behavior of information users’ attention.

The main body three basic feedback information dissemination of Tibetan network public opinion is: "support", "no" and "neutral", that part must be the Tibetan semantic analysis. "Support" refers to a network of public opinion with favor, behavior evaluation and active dissemination of the main patterns of behavior of these networks is the dual-mode to both "ratings" and "Biography"; "oppose" means of a held not in favor of an Internet public opinion, the public opinion does not agree, does not endorse, and its behavior is to be evaluated, but not necessarily spread, thus the behavior of its network main mode is the mode of "assessment"; "neutral" refers to a particular network public

opinion is neither in favor nor against the behavior of their network public opinion is "read" mode.

In order to study the spread of Tibetan network public opinion of the main patterns of behavior and attitude on public opinion, it is necessary to Tibetan text and automatic segmentation applied research.

B. Application of automatic segmentation of Tibetan Tibetan text of the sentence and the sentence of a clear

separation between the marks, the text is not difficult to cut into sentences, so the Tibetan text of the key technology of automatic segmentation lies in how the sentence cut into pieces and cut into blocks of words.

Tibetan is a long history of alphabetic writing, is a text-based consonants, including consonants, vowels and punctuation symbols of three parts. Tibetan language (syllables) with a consonant letter (base word) as the core, and the remaining consonants are as a basis for additional and up and down around the stack, the combination of words into a complete table structure. Shaped structure, at least for a Tibetan consonant letters (also is a single word from a base composition), of up to 7 symbols constitute the consonants and vowels. 30 Tibetan consonant letters can be as basic words, 5 of which can be used as consonants preceded by the word; 10 consonants can be used as added words; two consonants can be added as a word; three consonant letters can be used as Add the word; four consonant letters can be added as the next word. Add words and add the word shape under certain changes occurs. Tibetan spelling order: [front of the word] [add words] based word [Next add the word] [vowel] [added word] [and then added the word]. There is also a large number of Sanskrit in Tibetan turn to write. View of the Tibetan text and sentence clear separation between the identity, and thus automatic segmentation Tibetan text on the key technology is how to sentence cut into pieces and cut into blocks of words. Case particle with Tibetan sentence will be divided into blocks, and then the dictionary matching, which can greatly improve the efficiency of segmentation. These studies was carried out by the first special case particle and two Tibetan sub-dictionary word segmentation method comparisons and select one based on the results, or a combination of the two Tibetan word segmentation method.

C. The bipartite graph theory to the main body IPS in the propagation behavior Human behavior analysis and research has been plagued

by one of the problems of scientists. Internet as a virtual community, online behavior and the behavior of real-life common to study its own rules and is also very important. In past research on social, economic systems, often a single person's behavior to simplify a stationary random process can use the Poisson process described in the Barabási by the time of the send and reply to e-mail, e-mail communications and other human behavior the interval of the actual statistics, found that these behaviors occur cannot be described by the Poisson process[11-20].The study involved market transactions] website, movies on demand, and enjoy the online music, games and virtual communities, the use of

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computer instructions and other acts, the researchers found that Internet users in a variety of behavioral characteristics are: the outbreak of the long silence and short-term high-frequency, time interval distribution of the fat-tail situation of meeting is inversely proportional to the power function, and these behaviors are generally found to have a similar deviation from the Poisson the characteristics of the process. At the same time, scholars study the distribution characteristics of the Internet users' behavior and its causes[21-32], Chau Blog specifically for the extremist forces and groups; Kittur and found a small number of leaders of groups contribution is on the decline, the role of the ordinary user groups are growing; on user-generated content propagation behavior has a related research, such as the network news and reviews and other text spread, product reviews spread, Blog topic spread, etc. . Although there is the network behavior in many research, but the main body IPS in the propagation behavior is not involved.

If the information of Internet users with IPS as a "node", user access, is reproduced as a "side", they constitute a complex network in the bipartite graph, according to the degree distribution of the network scale-free network features to exploit the network focal point for analysis of node degree, clustering coefficient and average path network parameters.

In the Bipartite Graph, all nodes are divided into two sets X and Y , where X or Y , any two points in the same

collection are not directly connected. If there is undirected graph EVG ,� , the vertex set V can be divided into

two subsets 1V and 2V , to meet 1 21 VVV �� ��21 VV �2 Evue ��� ),(

There are 1Vu� 2Vv� , Claimed that G is a

Bipartite Graph. 1V And 2V are called complementary

subset of vertices, often denoted by EVVG ,, 21� .

f each vertex in 1V and 2V vertex adjacency, then G is

a Complete Bipartite Graph, and denoted by srK , , 1Vr � ,

2Vs � .Bipartite Graph model is two nodes in a collection of

network distribution, including the users of the web page and access pages on the network, if a user visited a Web page is web page and the user with a non-connected to the side.

To meet the Bipartite Graph of the network, said the entire node set for N , collection of all connections for E ,have the ),( ENG , including , ji, says

node, and ij� said without connection between nodes, have

connection 1�ij� or 0�ij� .Degree distribution: The degree distribution of the

network refers to the network node degree probability distribution. Node k is usually defined for the node

connected to the sum of all the edges, the mathematical expression as follows:

��

�Gj

ijid �)( �

The average path length: A network average path length is defined as the average of the shortest path between all nodes ji, .namely:

��

�

jiGji

ijPNN

GL,)1(

1)( �

Clustering coefficient: The clustering coefficient is the important topological parameters of the investigated network group level. Collection for each node ,i in the network to find its neighboring nodes iN , iN in the number of edges is

iE , the clustering coefficient is defined as the ratio of iEand iN in all possible side number, namely:

)1(2

�

ii

ii NN

EC �

Larger Tibetan portal site has information centers in Tibet, Tibetan China Netcom and the Xinhua News Agency Tibet Branch. The project selected Tibet Information Center and the China Tibetan Netcom as a data collection source. Propagation behavior data source into Internet data and experimental data, the Internet data set representative of the Tibetan IPS information Baidu Index and Google Trends to get the real network dissemination of data; the experimental data we have embarked on experiments. 200 Tibetan students and teachers in our project team, on weekends, and by our group of teachers set up different scenarios, so that they visit a given site and the creative freedom to the different experimental groups, interactive access to reviews and reproduced. And to obtain large amounts of data, it is feasible to verify qualitatively the main node degree, clustering coefficient and average path network parameters such as the spread of behavior, and achieved satisfactory results.

IV. EXPERIMENTS

In order to verify the effectiveness of the method, experiment used currently involved in Tibetan areas of people's livelihood and economic development were analyzed on public opinion, while monitoring the current large-scale portal of Tibetan Tibet Information Center website, China Netcom and the Xinhua News Agency Tibet Tibetan Branch and other hot topics on the site. And appear on the site click on hot topics, reprinting topology analysis, programming Statistical its Degree distribution, the average

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path length, Clustering coefficient. Found that the greater its value can easily form public opinion, this study selected Tibetan Tibet Information Center and the China Netcom as data collection sources. Data sources using the Internet the actual data, Internet data set is the use of a representative from the Tibetan public opinion information respectively Baidu Index and Google Trends acquire real network dissemination of data. Through data analysis and collation verify the correctness and practicability of this method.

V. CONCLUSION

From the level of theory and practice, the subjects and their behavior patterns of the spread of Tibetan network public opinion research, the need to involve a multi-discipline knowledge. In particular, the main network behavior is a major factor in decision to the spread of Tibetan network public opinion, the research fields of science involved more, the research is more difficult. This paper, only the main behavior of the Tibetan network dissemination of information part of the technology to do simple, and discussions, which aims to think of to serve as a stimulus.

ACKNOWLEDGEMENT

This paper is sponsored by Humanities and Social Sciences Planning Projects of the Ministry of Education of PR China under Grant No.11YJAZH053 and the Humanities and Social Sciences Youth Projects of the Ministry of Education of PR China under Grant No. 12YJCZH027 and No.13YJCZH029.

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