Research On Information Dissemination Of Micro-blog Based On Complex Network

Humans are being into informationization age, information has graduallybecome main wealth of social. We are in a transition phase that material productionconsumption is given priority to information production consumption. Developmentof informationization makes new civilization achievements can disseminate rapidly;social industrial structure, value concept and organization form are changingconstantly. Micro-blog’s main functions are information creation, dissemination andsharing, it can no doubt accelerate the process of social informatization. Rapidly andwidely disseminating of many social hotspots makes Micro-blog has a greatinfluence on public. However, compared with the application of Micro-blog lookinglike a raging fire, research on Micro-blog information dissemination is less.The improvement of complex network theory and information technologyprovides research tools for the study of Micro-blog information dissemination. Basedon complex network theory, using research tools such as model simulation andquestionnaire, this paper make deeply research on Micro-blog informationdissemination, the main content includes:Detailedly analyzes related theories of the study including complex network,dissemination psychology, etc. From aspects of users’ overall situation, classificationtypes, dissemination characteristic and fission pattern, research object is analyzed.Constructs Micro-blog information dissemination complex network, analyzes itstopological structure and dynamic evolution process. Using following relationshipbetween Micro-blog users, constructs Micro-blog information disseminationcomplex network; from two aspects of degree and path select several indicators toanalyze static topological structure based on complex network theory, finds outdifference of topological structure characteristics between Micro-blog informationdissemination complex network and other complex networks; From aspects of wholenetwork structure, local structure and characteristics of time, studies influence factorsof dynamic evolution; Discusses different forms of node in the evolution process andevolution trend of the network, constructs model of network dynamic evolutionaryprocess. It is verified that the model can describe evolution process of Micro-bloginformation dissemination complex network very well. Based on complexity of network topology structure, studies Micro-bloginformation dissemination. From aspects of vertex topology and community structure,analyzes patterns of information dissemination; studies mechanism of disseminationthreshold, immune and impetus; Comprehensive considering three infulence factorsand behavior patterns of information dissemination, constructs Micro-bloginformation dissemination process model, and formalizes it; Using open sourcesoftware kit Jung, simulates the model; Through comparing with regular and randomnetwork, verifies dissemination effective rate and vertex number’s influence onspeed, range of information dissemination.Based on complexity of vertex’s attributes, studies the dissemination differenceof kinds of Micro-blog informations. Using hashtag created by users to classifyinformation; From aspects of speed, effective rate and cumulative influence,compares dissemination difference of kinds of informations; From aspects ofindividual, selectivity.etc, analyzes difference of user’s psychological; Based onmaslow’s demand theory, presents Micro-blog user’s five layer psychologicaldemand model; Using questionnaire to investigate user’s psychology and informationadoption behavior, through correlation and cross test analysis, studies influence ofcharacter differences on information dissemination.Studies information authenticity identification and share behavior prediction. Bymachine self-learning method, selects14indexes from aspects of information content,users.etc to train C4.5decision tree identifying authenticity of information automatic;Analyzes sharing information behavior patterns of user; Based on the data ofdissemination path and vertex’s attributes, using association rule classification andimproved PA algorithm model to predict users’ information sharing behavior.Based on complexity of Micro-blog information dissemination network,presents information supervising strategy, constructs overall supervising strategyframework including technology and system; In technical level, presents multi-leveltechnical supervising strategy, studies technologies for supervising informationsource, content, etc. In system level, presents supervising strategy “self-discipline asmain, punishing as auxiliary”.