人肉搜索現(xiàn)象分析建模及組織協(xié)作機(jī)制研究
發(fā)布時間：2018-09-01 06:29
【摘要】：人肉搜索是一個源自中國的基于互聯(lián)網(wǎng)的社會現(xiàn)象,起源于本世紀(jì)初的貓撲論壇,隨后迅速發(fā)跡,成為一種爆發(fā)現(xiàn)象,震撼登場。期間,很多事件引發(fā)并導(dǎo)致了一些無意誤傷、惡意中傷的惡劣事件,也由此引發(fā)了關(guān)于是否立法禁止人肉搜索的大規(guī)模討論,但隨后人肉搜索在災(zāi)后尋親、網(wǎng)絡(luò)反腐、輿論監(jiān)督等領(lǐng)域也大顯身手,并很快就在網(wǎng)民自發(fā)的約束下走向了正面、公益等健康的發(fā)展軌道。人肉搜索是一個典型的群體協(xié)作現(xiàn)象,從戲謔娛樂到道德申討、公共監(jiān)督,網(wǎng)絡(luò)互助,人肉搜索經(jīng)歷了波瀾壯闊、亦正亦邪的發(fā)展并回歸到積極多元搜索場景的過程。這些搜索案例為研究大規(guī)模群體協(xié)作提供了寶貴的素材。本文即以人肉搜索這一大規(guī)模群體協(xié)作現(xiàn)象作為研究對象,基于近年發(fā)生在國內(nèi)的萬余起人肉搜索事件,對參與過人肉搜索的近300萬網(wǎng)民形成的動態(tài)網(wǎng)民群體組織和參與者之間的協(xié)作搜索過程進(jìn)行了實(shí)證與理論研究。針對參與人肉搜索的網(wǎng)民群體,本文研究了人肉搜索網(wǎng)絡(luò)群體的基本特征,分析了這一群體的結(jié)構(gòu)、角色分工,構(gòu)建了參與者之間的社交網(wǎng)絡(luò),分析了群體的社交關(guān)系網(wǎng)絡(luò)。通過數(shù)據(jù)實(shí)證分析,我們發(fā)現(xiàn)群體中絕大多數(shù)成員僅參與過幾起的事件,不同角色有不同的屬性特征,分工也有很大差別,事件發(fā)布者媒體屬性較強(qiáng),而參與者則具有很明顯的草根性。但這一群體中存在一個較為穩(wěn)定的成員持續(xù)參與并相互配合的核心活躍組織,這一組織成員約占參與者總體的0.3%。核心活躍組織成員之間聯(lián)系非常緊密,但卻不存在權(quán)威的從屬關(guān)系,沒有超級領(lǐng)導(dǎo)者,是一個聯(lián)系緊密但分布性極強(qiáng)的組織。基于這一群體的結(jié)構(gòu)分析,本文進(jìn)而研究了群體成員在搜索過程中的組織協(xié)作機(jī)制。通過對人肉搜索事件的傳播過程和協(xié)作過程的分析,發(fā)現(xiàn)每起人肉搜索事件背后的協(xié)作者并非一個隨機(jī)的組織,事實(shí)上,人肉搜索的協(xié)作過程主要體現(xiàn)為參與者對信息的傳播和匯總過程,受傳播機(jī)制和內(nèi)容機(jī)制雙重作用,協(xié)作者在協(xié)作過程的作用和地位首先與該協(xié)作者在參與者之間社交網(wǎng)絡(luò)中的位置相關(guān),其次與其在協(xié)作過程中的信息貢獻(xiàn)相關(guān)。組織中各協(xié)作者的地位有很大差別,其協(xié)作網(wǎng)絡(luò)的特點(diǎn)表明,該協(xié)作過程是一個高度自組織的過程,其成長也呈現(xiàn)出多階段增長等特點(diǎn)�？傮w而言,人肉搜索協(xié)作是一個由個體發(fā)起,個人、媒體、組織等多方協(xié)作,線下調(diào)查,線上匯總求證,尋找最終目標(biāo)的分布式協(xié)作過程。具有線上線下交互頻繁、自組織性強(qiáng)等特點(diǎn)�；趯�(shí)證分析結(jié)果,本文對人肉搜索的傳播協(xié)作過程進(jìn)行了人工社會建模,基于資源動員模型,建立了人肉搜索相關(guān)主體模型和組織模型,在此基礎(chǔ)上構(gòu)建了基于雙重偏好機(jī)制的協(xié)作模型,設(shè)計(jì)了人肉搜索組織傳播動員過程生成算法,利用真實(shí)數(shù)據(jù)測試了該模型,數(shù)據(jù)顯示該模型能夠較好地模擬人肉搜索參與者之間協(xié)作關(guān)系網(wǎng)絡(luò)及發(fā)展過程。經(jīng)過以上對人肉搜索的實(shí)證與模型分析,本文進(jìn)一步分析了影響人肉搜索結(jié)果的相關(guān)因素,并基于這些因素訓(xùn)練機(jī)器學(xué)習(xí)模型對人肉搜索結(jié)果進(jìn)行預(yù)測,結(jié)果表明人肉搜索結(jié)果在一定程度上是可以被預(yù)測的。這些研究結(jié)果揭開了大規(guī)模網(wǎng)民協(xié)作和動員的神秘面紗,為接下來的研究,尤其是群體智能和網(wǎng)絡(luò)社會運(yùn)動相關(guān)研究,提供了切入點(diǎn)并提供了一些有意義的發(fā)展方向。我們希望更多基于真實(shí)數(shù)據(jù)的相關(guān)研究可以得到學(xué)界的關(guān)注,尤其是來自于社會學(xué),人類學(xué),網(wǎng)絡(luò)科學(xué),計(jì)算機(jī)科學(xué),統(tǒng)計(jì)物理,控制理論等專業(yè)的研究者。多學(xué)科的交叉合作將極大的促進(jìn)相關(guān)研究,讓人們更好地理解群體協(xié)作這個復(fù)雜系統(tǒng),促進(jìn)人類大規(guī)模協(xié)作創(chuàng)造出更為輝煌的文明。
[Abstract]:Human flesh search is a social phenomenon originating from the Internet in China. It originated from the cat-poke forum in the early 20th century and then quickly developed into an outbreak and shocked debut. During this period, many incidents triggered and led to some bad incidents of unintentional injury and malicious slander, which also led to whether legislation prohibited human flesh search. After a large-scale discussion, however, human flesh search also became very skilled in the fields of post-disaster relatives seeking, anti-corruption on the Internet, public opinion supervision and so on. It soon became a positive, public welfare and other healthy development track under the restriction of the Internet users'spontaneity. Human flesh search has undergone a magnificent, positive and evil development and returned to a positive multi-search scenario. These search cases provide valuable material for the study of large-scale group collaboration. In this paper, we empirically and theoretically study the collaborative search process between a dynamic group of netizens and participants who participated in human flesh search. Aiming at the netizens who participated in human flesh search, we studied the basic characteristics of human flesh search network group, analyzed the structure, role division and structure of this group. Through data analysis, we find that most of the members of the group have only participated in a few events, different roles have different attributes and characteristics, and the division of labor is also very different. The media attributes of the event publishers are strong, while the participants have very obvious grass. Roots. However, there is a core active organization in which stable members continue to participate and cooperate with each other, accounting for about 0.3% of the total participants. The members of the core active organization are closely linked, but there is no authoritative affiliation, no super leader, and they are closely linked but highly distributed. Strong organization. Based on the structure analysis of this group, this paper further studies the organization and cooperation mechanism of group members in the search process. Through the analysis of the propagation and cooperation process of human flesh search events, it is found that the collaborator behind each human flesh search event is not a random organization. In fact, human flesh search collaboration has occurred. The role and status of collaborators in the collaboration process are first related to the position of the collaborators in the social network among the participants, and secondly to their information contribution in the collaboration process. In general, human flesh search collaboration is a distributed collaboration initiated by individuals, individuals, media, organizations, and other multi-party collaboration, offline investigation, online summary and verification, to find the ultimate goal. Based on the results of empirical analysis, the dissemination and collaboration process of human flesh search is modeled by artificial society. Based on the resource mobilization model, the related agent model and organization model of human flesh search are established. On this basis, the collaboration based on double preference mechanism is constructed. The model is designed to generate the propagation and mobilization process of human flesh search organization. The model is tested with real data. The data show that the model can better simulate the cooperative relationship network and development process between human flesh search participants. Result-related factors, and based on these factors training machine learning model to predict human flesh search results, the results show that human flesh search results can be predicted to a certain extent. We hope that more research based on real data will be of interest to the academic community, especially from sociology, anthropology, network science, computer science, statistical physics, control theory and other professional researchers. It will greatly promote the relevant research, so that people can better understand the complex system of group cooperation, and promote large-scale human cooperation to create a more brilliant civilization.
【學(xué)位授予單位】：國防科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2015
【分類號】：TP391.3;TP393.09
，
本文編號：2216391
[Abstract]:Human flesh search is a social phenomenon originating from the Internet in China. It originated from the cat-poke forum in the early 20th century and then quickly developed into an outbreak and shocked debut. During this period, many incidents triggered and led to some bad incidents of unintentional injury and malicious slander, which also led to whether legislation prohibited human flesh search. After a large-scale discussion, however, human flesh search also became very skilled in the fields of post-disaster relatives seeking, anti-corruption on the Internet, public opinion supervision and so on. It soon became a positive, public welfare and other healthy development track under the restriction of the Internet users'spontaneity. Human flesh search has undergone a magnificent, positive and evil development and returned to a positive multi-search scenario. These search cases provide valuable material for the study of large-scale group collaboration. In this paper, we empirically and theoretically study the collaborative search process between a dynamic group of netizens and participants who participated in human flesh search. Aiming at the netizens who participated in human flesh search, we studied the basic characteristics of human flesh search network group, analyzed the structure, role division and structure of this group. Through data analysis, we find that most of the members of the group have only participated in a few events, different roles have different attributes and characteristics, and the division of labor is also very different. The media attributes of the event publishers are strong, while the participants have very obvious grass. Roots. However, there is a core active organization in which stable members continue to participate and cooperate with each other, accounting for about 0.3% of the total participants. The members of the core active organization are closely linked, but there is no authoritative affiliation, no super leader, and they are closely linked but highly distributed. Strong organization. Based on the structure analysis of this group, this paper further studies the organization and cooperation mechanism of group members in the search process. Through the analysis of the propagation and cooperation process of human flesh search events, it is found that the collaborator behind each human flesh search event is not a random organization. In fact, human flesh search collaboration has occurred. The role and status of collaborators in the collaboration process are first related to the position of the collaborators in the social network among the participants, and secondly to their information contribution in the collaboration process. In general, human flesh search collaboration is a distributed collaboration initiated by individuals, individuals, media, organizations, and other multi-party collaboration, offline investigation, online summary and verification, to find the ultimate goal. Based on the results of empirical analysis, the dissemination and collaboration process of human flesh search is modeled by artificial society. Based on the resource mobilization model, the related agent model and organization model of human flesh search are established. On this basis, the collaboration based on double preference mechanism is constructed. The model is designed to generate the propagation and mobilization process of human flesh search organization. The model is tested with real data. The data show that the model can better simulate the cooperative relationship network and development process between human flesh search participants. Result-related factors, and based on these factors training machine learning model to predict human flesh search results, the results show that human flesh search results can be predicted to a certain extent. We hope that more research based on real data will be of interest to the academic community, especially from sociology, anthropology, network science, computer science, statistical physics, control theory and other professional researchers. It will greatly promote the relevant research, so that people can better understand the complex system of group cooperation, and promote large-scale human cooperation to create a more brilliant civilization.
【學(xué)位授予單位】：國防科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2015
【分類號】：TP391.3;TP393.09
，
本文編號：2216391
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