Contemporary Finance & Economics ›› 2017, Vol. 0 ›› Issue (12): 193-.
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LIAO Kang-li, OUYANG Xiao-ming
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Abstract: As a mental activity with learning ability and self-organization ability, the corrupt activities will continue to pursue the concealment and security of corrupt behaviors. Based on the profound influence of traditional culture and the integration of more family affection, nostalgia and trust factors in the context of differential patterns, the grass-root corrupt network has become a complicated network with multiple heterogeneous characteristics. The inspection coordination mechanism jointed by the discipline inspection committee, supervision department and auditing department is conducive to the realization of the interaction between anti-corruption authorities, clues and technology, and is helpful to the identification of the existence and the structural analysis of the grass-root corrupt network. According to the structural characteristics of the grassroots corrupt network, we can adopt the dynamic strategy that taking the key minority as a breakthrough, from the inside to the outside, and covering the whole network, so as to improve the accuracy and efficiency of anti-corruption blow, and achieve the full coverage of anti-corruption from the perspective of destroying the whole corrupt network. The technological method system that introduces the social network analysis into the grass-roots corruption governance is conducive to the expansion of technological vision of anti-corruption and the promotion of technology-based anti-corruption, which can help the transition from the traditional across-the-river-by-experience mode to the modern mode with navigation knowledge.
Key words: corrupt activities; local corrupt network; corruption governance; cooperative governance by discipline inspection committee, supervision department and auditing department; social network analysis
LIAO Kang-li, OUYANG Xiao-ming. Structural Characteristics of Local Corrupt Network and Technological Path of Collaborative Governance: A Perspective from Social Network Analysis[J]. Contemporary Finance & Economics, 2017, 0(12): 193-.
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