Micro blog topic source tracing method based on topic influence

A technology of influence and topics, applied in special data processing applications, network data retrieval, instruments, etc., can solve problems such as unsuitable page similarity analysis, short text, etc., and achieve the effect of improving state transition relationship and accurate termination conditions

Active Publication Date: 2014-11-05
HARBIN ENG UNIV
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Problems solved by technology

Most of the current topic traceability methods are based on content similarity, chronological order, and link relationship. Today’s Weibo is different from the previo...

Method used

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  • Micro blog topic source tracing method based on topic influence
  • Micro blog topic source tracing method based on topic influence
  • Micro blog topic source tracing method based on topic influence

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Function realization of the present invention comprises following module:

[0048] (1) Query Topic Expansion Module

[0049] According to the invisible semantic query expansion method in the field of information retrieval, the input topic phrase is semantically expanded to obtain other topics related to the given topic;

[0050](2) Influence Calculation Module of Weibo Topics

[0051] Explore the user relationship and information dissemination rules in the microblog network, determine that the influence of the topic is determined by the influence of the topic content and the influence of the opinion leader, and give the calculation formula of the influence of the topic content and the influence of the opinion leader respectively;

[0052] (3) Topic influence trend analysis module

[0053] According to the topic influence calculation formula, draw the influenc...

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Abstract

The invention belongs to the field of data mining of a semantic social network of the source tracing category and particularly relates to a micro blog topic source tracing method based on the topic influence. The micro blog topic source tracing method based on the topic influence comprises the steps that according to a latent semantic query expansion method of the field of information retrieval, semantic expansion is conducted on an input topic word group tp, and first k topics relevant to the given topic are obtained; a user relation and the information propagation law in the micro blog network are determined, and the topic influence TIN is determined; according to an influence computational formula, the influence of the topic is worked out with one hour as one time step, the variation trend, generated as time passes by, of the influence of the topic is obtained, the intensity of the influence gradually increases in the initial stage of the topic and then increases sharply, finally, the intensity of the influence reaches the stable state, and in other words, the topic becomes a hot spot; a topic source tracing recursion formula is deduced, the topic source tracing recursion ending condition is determined, and the source triggering the top is output. By the adoption of the micro blog topic source tracing method based on the topic influence, the topic source tracing recursion ending condition is more accurate, and topic tracing is more accurate and more effective.

Description

technical field [0001] The invention belongs to the field of data mining in the semantic social network of the category of topic traceability, and specifically relates to a microblog topic traceability method based on topic influence. Background technique [0002] The topic traceability method proposed in this paper is mainly based on the changing trend of topic influence, so quantifying the influence of topics becomes the key. At present, research on the influence of online social networks is mainly divided into two categories: one is to analyze the influence from the attribute characteristics of the nodes; the other is to calculate the influence based on the topology of the social network. Earlier studies often used the number of fans of users as an indicator to measure influence. This method is too direct and simple, lacks theoretical analysis, and is inaccurate in most cases. In addition, there are other researchers who learn from the methods of link analysis in WEB dat...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/951G06F40/30
Inventor 杨静董圆张健沛王勇初妍张乐君杨悦张泽宝国林
Owner HARBIN ENG UNIV
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