Lancée en 2005, la politique des pôles de compétitivité marque un renouvellement des politiques industrielles et d'aménagement du territoire. La place faite aux concepts d'innovation et de compétitivité et le recours généralisé et à toutes les échelles à l'appel à projet transforment les modalités de l'intervention publique et ont un impact important sur les hiérarchies territoriales à l'échelle nationale et régionale. Cette thèse envisage la géographie des pôles de compétitivité par deux entrées distinctes mais complémentaires. Elle articule d'une part une réflexion à l'échelle nationale sur cette politique d'innovation et l'impact spatial des choix politiques, et d'autre part, une interrogation sur le fonctionnement et l'organisation spatiale des différents pôles de compétitivité et de leurs réseaux. Elle propose pour ce faire une méthodologie originale d'analyse des réseaux d'innovation en combinant la cartographie et les méthodes d'analyse des réseaux sociaux qui permettent d'inscrire les réseaux d'acteurs dans le raisonnement géographique. Elle montre ainsi les recompositions rapides des réseaux des pôles de compétitivité, marqués par l'ouverture à de nouveaux acteurs et de nouveaux territoires, à l'échelle nationale, comme à l'échelle régionale. En élargissant l'analyse aux politiques régionales d'innovation et aux Investissements d'Avenir, elle montre l'apparition de liens transversaux à l'échelle régionale. Elle propose en conclusion des pistes pour les politiques territorialisées d'innovation et l'identification, l'accompagnement et l'évaluation des réseaux d'innovation. / The competitiveness cluster policy launched in 2005 marks a renewal of regional and industrial policies. The emphasis put on innovation and competitiveness and the widespread use of call for projects on every scale deeply transform public action and have a major impact on territorial hierarchies on a regional and national scale. This research considers the geography of competitiveness clusters in two distinct but complementary ways. It articulates on the one hand an analysis of the national innovation policy and the spatial impact of political choices and on the other hand, empirical questions about the spatial organization of competitiveness clusters and of their networks. It builds a methodological framework based on both mapping and social network analysis in order to include actors' networks in a geographical thinking. It shows the fast transformations of competitiveness clusters' networks and the integration of new actors and new territories both on a regional and national scale. It expands the analysis to regional authorities' policies and to the Investissements d'Avenir to reveal the apparition of cross sector linkages at the regional level. It offers new solutions for innovation and regional policies to identify support and evaluate innovation networks.

本研究旨在應用共被引分析法與社會網絡分析法，以資訊社會代表文獻為研究對象，進行文獻間的主題相關性分析，希望透過對資訊社會代表文獻之共被引分析與社會網絡分析，能瞭解資訊社會研究所涵蓋的學科領域、文獻之間的集群性、及歷年研究趨勢。本研究以1962年至2010年的資訊社會代表文獻為研究範圍，研究資料取自Webster於2006年所撰寫的《Theories of Information Society》與《The Information Society Reader》二本著作，經整合後得出89篇代表文獻做為本研究之研究樣本。其次，再以WOS資料庫對此89篇代表文獻進行共被引次數檢索，製成共被引矩陣。除了瞭解代表文獻間的共被引強度外，並以SPSS軟體進行相關係數分析與集群分析，此外，利用UCUNET軟體計算出文獻中心性，及將文獻間的關係繪製成多元尺度圖與社會網絡圖，最後，透過研究年代的區隔，計算不同時段共被引情形的變化，以觀察資訊社會領域發展趨勢。 本研究結果歸納如下：1.資訊社會代表文獻被引用次數概況：（1）整體而言，資訊社會代表文獻歷年被引用次數趨於穩定；（2）資訊社會代表文獻受到社會學與地理學領域高度引用。2.「資訊社會」之知識地圖：（1）資訊社會代表文獻共被引次數普遍偏低；（2）資訊社會領域之核心文獻；（3）資訊社會領域可分為社會學、地理學及資訊科學與圖書館學子群。3.資訊社會之發展趨勢：（1）資訊社會知識地圖演變；（2）資訊社會共被引次數衰退。 本研究結果可應用於館藏規劃與評估，界定重要的圖書文獻來源，有助於圖書館或相關研究單位評估資訊社會相關館藏是否足以支援研究。同時可將研究之分析應用於資訊社會學術研究，提供研究人員近年來資訊社會共被引學科之變化及研究主題趨勢等相關資訊，作為資訊社會學者進行研究規劃之參考。 / The purpose of this study is to find out what disciplines Information Society covers. By Co-citation Analysis, this study highlighted the major disciplines in the Information Society field and identified the main literature and their relationship. This research takes representative Information Society literature from 1962 to 2010 as research scope. Firstly, by Bibliometrics, the total of 89 representative literature of Information Society was extracted from “The Information Society Reader” and “Theories of Information Society” written by Frank Webster in 2005 and 2006 respectively. Secondly, the co-citation times between 89 literature was investigated through Web of Science and thus a co-citation matrix was build to reveal the co-citation strength of literature. Co-relation and cluster analysis between literature were also explored by SPSS software. In addition, this study uses UCUNET software to analyze centrality and plot knowledge map on the subject of Information Society. The major findings are as follows: 1. On the citation strength: (1) Cited times of Information Society literature have been growing stable in recent years. (2) Information Society literature is highly cited by disciplines of Sociology and Geography. 2. Knowledge map of Information Society: (1)Co-citation frequencies of Information Society literature are low;(2) The core literature of Information Society field; (3)Sociology, Geography and Information Science are main disciplines in Information Society area. 3. Development of Information Society: (1) Development of knowledge map of Information Society; (2) Co-citation frequencies of Information Society literature have been declining in recent years. Finally, the results of this study can be applied to collection planning and assessment, and identify the core journals and books. It assists libraries or information centers in evaluating the adequacy of Information Society collections to support research. Meanwhile, it provides researchers with recent trends of Information Society research.

La ricerca ha l’obiettivo di esaminare modelli etnici nella criminalità organizzata, esplorando, in particolare, caratteristiche strutturali del crimine e il ruolo dell’etnicità nel mercato della droga in Italia. La tesi si sviluppa in due livelli di analisi, macro e micro. Il livello macro esamina le tendenze della criminalità degli italiani e stranieri nel mercato della droga in Italia, attraverso l'esame dei dati ufficiali sugli autori di reato riportati all’Autorità giudiziaria in Italia per violazione della legge sugli stupefacenti, dal 1991 al 2008. Il livello micro esamina la struttura di una rete criminale composta da italiani e stranieri coinvolti in una serie di attività illegali relative al traffico e spaccio di stupefacenti scoperte in Italia (Operazione Luna Blu), attraverso l’esame delle comunicazioni (intercettazioni telefoniche ed ambientali) incluse nel caso studio. L'analisi di rete (SNA) ha permesso di ricostruire la struttura della rete criminale, identificare il ruolo dell’etnicità nei processi di traffico e spaccio di stupefacenti riportati nel caso studio, e verificare ipotesi relative a modelli etnici nella criminalità organizzata nel mercato della droga. / The research aims to provide a further understanding of ethnic patterns in organized crime, accounting for the structure of crime and ethnic features therein, with a specific focus on the Italian drug market. The research is developed in a two-level analysis. The macro level of analysis provides a general understanding of patterns of ethnic involvement in the drug market in Italy through the examination of official data on drug crimes and offenders reported to the Judicial Authority in Italy, from 1991 to 2008. This is to examine trends in the degree and type of involvement of Italians and foreigners in the Italian drug market over time. The micro level of analysis provides a further elaboration on the structure of crime and ethnic patterns in organized crime in the Italian drug market. It illustrates the structure of a criminal network composed by Italian and foreigner offenders involved in a series of drug distribution operations targeted in Italy (“Operation Luna Blu” case), through the examination of intercepted communication data (wiretaps and electronic surveillance records) included in the case study. Social network analysis (SNA) is applied at this level of analysis as the analytical framework to reconstruct the criminal network structure, identify organizational patterns along ethnic lines, and test hypotheses related to ethnic patterns of interaction amongst Luna Blu network participants.

Many mammals are social. The most basic social behaviour is when the actions of one conspecific are directed toward another, what we call the dyadic interaction. Both intrinsic and extrinsic factors may affect an individuals propensity to interact with other members of a population. I used a social cervid, elk (Cervus elaphus), as a model species to test the importance of intrinsic and extrinsic factors of sociality on dyadic interactions. Dyadic interactions not only form the basis for social structure and information transfer within a population, but are also routes of pathogen transmission. My objective in this thesis was thus twofold: to improve our understanding of sociobiology, but also to gain insight into how sociality may underlie the transmission of communicable wildlife disease. I used a hierarchical, autecological approach from DNA, through individual, dyad, group, subpopulation, and ultimately population to explore the effects of intrinsic factors (e.g., sex and pairwise genetic relatedness) and extrinsic factors (e.g., season, conspecific density, habitat, and elk group size) on sociality. Elk in Riding Mountain National Park (RMNP), Manitoba, Canada, are exposed to the causal agent of bovine tuberculosis (Mycobacterium bovis; TB); however, spatial variation in apparent disease prevalence suggests that TB can only persist in one subpopulation within the Park. Using the natural RMNP system and a captive elk herd that I manipulated, I explored factors that influence interaction rates and durations (as a proxy for pathogen transmission) among elk. Sexual segregation in elk results in seasonal and sex-based differences in interaction rate and duration; with interactions peaking in autumn-winter for both sexes. Female-female dyads interact more frequently than male-male dyads. However, male-male dyads interact for longer durations than do female-female dyads. Interaction rate and duration did not covary with pairwise relatedness. Conspecific density also had sex-specific results for interaction rate and duration. Whereas male-male dyadic interaction rates increase with density, female-female dyads increase until they reach a threshold and subsequently reduce their interaction rates at high density. I observed density dependence in interaction rates in experimental trials and from field data. Furthermore, social networks revealed that social familiarity (i.e., heterogeneity of interactions) can be both frequency- and- density dependent depending on the strength of the relationship (i.e., number of repeat interactions). Density also affected the likelihood that an interaction would occur; however, this was modified by vegetation association used by elk. My results reveal several ecological and evolutionary implications for information transfer and pathogen transmission. In particular, I show that seasonal inter-sex routes of transfer may exist and that transfer is likely to be density-dependent. Finally, I conclude that such transfer is modified by available resources.

Many mammals are social. The most basic social behaviour is when the actions of one conspecific are directed toward another, what we call the dyadic interaction. Both intrinsic and extrinsic factors may affect an individuals propensity to interact with other members of a population. I used a social cervid, elk (Cervus elaphus), as a model species to test the importance of intrinsic and extrinsic factors of sociality on dyadic interactions. Dyadic interactions not only form the basis for social structure and information transfer within a population, but are also routes of pathogen transmission. My objective in this thesis was thus twofold: to improve our understanding of sociobiology, but also to gain insight into how sociality may underlie the transmission of communicable wildlife disease. I used a hierarchical, autecological approach from DNA, through individual, dyad, group, subpopulation, and ultimately population to explore the effects of intrinsic factors (e.g., sex and pairwise genetic relatedness) and extrinsic factors (e.g., season, conspecific density, habitat, and elk group size) on sociality. Elk in Riding Mountain National Park (RMNP), Manitoba, Canada, are exposed to the causal agent of bovine tuberculosis (Mycobacterium bovis; TB); however, spatial variation in apparent disease prevalence suggests that TB can only persist in one subpopulation within the Park. Using the natural RMNP system and a captive elk herd that I manipulated, I explored factors that influence interaction rates and durations (as a proxy for pathogen transmission) among elk. Sexual segregation in elk results in seasonal and sex-based differences in interaction rate and duration; with interactions peaking in autumn-winter for both sexes. Female-female dyads interact more frequently than male-male dyads. However, male-male dyads interact for longer durations than do female-female dyads. Interaction rate and duration did not covary with pairwise relatedness. Conspecific density also had sex-specific results for interaction rate and duration. Whereas male-male dyadic interaction rates increase with density, female-female dyads increase until they reach a threshold and subsequently reduce their interaction rates at high density. I observed density dependence in interaction rates in experimental trials and from field data. Furthermore, social networks revealed that social familiarity (i.e., heterogeneity of interactions) can be both frequency- and- density dependent depending on the strength of the relationship (i.e., number of repeat interactions). Density also affected the likelihood that an interaction would occur; however, this was modified by vegetation association used by elk. My results reveal several ecological and evolutionary implications for information transfer and pathogen transmission. In particular, I show that seasonal inter-sex routes of transfer may exist and that transfer is likely to be density-dependent. Finally, I conclude that such transfer is modified by available resources.

隨著個人電腦與網際網路科技的逐漸成熟，網路上每日都有巨量資料（Big Data）產生。近年來隨著社群網站的崛起，如何處理這些巨量的社群資料，並有效率地提供出有意義的社群資訊，將是這幾年社群網路領域研究的重點。每當內閣改組消息一出的時候，各政府部門單位的官職繼任官員，都會成為社會公眾關注的議題。本研究將使用中華民國政府官職資料庫，以社群網路分析與連結預測理論為基礎，並透過資料庫中所提供的資料，隨著不同評選時間點以及評選官職建置出網路。擷取網路的資訊，利用本文所提出的多面向模型（Multiperspective Model）產生多種觀點的分數。接著使用評選模型（Evaluation Model）將各個觀點的分數整合，進行某官員繼任某官職可能性計算，然後輸出官職繼任官員的評選清單（Evaluation List）。最後對輸出的評選清單分別對空降繼任狀況、各級上司對於繼任人選決定影響力、單一觀點與多觀點評選方式的評選結果、多觀點評選方式下重視的觀點，以及官職繼任成因五項分析進行探討。 / With the well development of personal PC and the Internet technology, there is a huge amount of data (Big Data) being generated on the Internet every day. Because of the debut and rise of social websites, how to deal with such a huge amount of community information as well as efficiently provide meaningful data to the public has been an explored main issue in the field of social network research in recent years. When the news about cabinet changing was released, the successor of various government departments will become the actively concerned topic for the public. This research applied a government position transaction database as the elements to build the network, which based on Social Network Analysis and Link Prediction theory with different evaluation position and evaluation time. Captured information in the network was used to generate the scores of multiple perspectives according to the Multiperspective Model. Then using the Evaluation Model, which can integrate each observed perspective, and calculate the probability of an official succeeds of a position. Finally the network could output the evaluation list of position successor. In the end, the outcome of the evaluation list was applied to analyze and discuss the following 5 research questions: The situation that the successor isn’t from the unit of successive position, the influence of all levels superiors on the succession decision, result of evaluative methods of a single view and multiple perspective, the important perspective of Multiperspective evaluation, and causal relationship of official successor.

Web 2.0的提出，主要的概念是以Web為平台，以「個人」為中心，透過群體智慧的方式來共享與產生知識，例如維基百科、部落格等。部落格提供了個人自由創作與發表文章空間，主要以RSS、Trackback為共有標準，服務提供者可另外加上自訂功能。然而部落格每天所產生的文章量相當龐大，我們是否有辦法在這些文章中，找出符合使用者想看的文章。本研究期望建構一個部落格入口網站，分析目前部落格使用的特徵，比較與目前Web環境差異；引入語意網技術，針對Metadata處理資訊，設計本體論(Ontology)來描述人、文章與標籤之間的關係並建立簡單分類；導入大眾既有經驗與人脈網路建立，觀察社會網路所能提供的貢獻；實作上將透過特徵分析來設計Crawler，自動抓取並解析文章，並建置入口網站，進行資料的分析與驗證，探討加入語意網與社會網路分析的結合所能帶來的效益。 / The Web 2.0 is based on the main concept "individuals" as the center, through the collaborative wisdom to share and to generate knowledge on the Web, such as the Wikipedia, Blog, etc. Blog provides a space for the free creativity and posting articles from individuals. Based on RSS and Trackback service providers can set an additional function. However, the daily amount of articles issued from the Blog is enormous. How can we provide methods for users to find their interesting articles? This study hopes to build the Blog portal and analysis of the current Blog features compared with the web environment. We use semantic web technology and focus on metadata processing. The ontology describes the relationship among persons, articles, tags and a simple categorization. Folks experience and relationship are established and observed with the benefits from social network analysis. In this study, we implement a crawler, and automatically grab and analysis articles. With constructing the portal, we extract information and discuss the benefits of using combination semantic web and social network analysis

網絡是一個依據人與人之間的互動關係所建構出來的，它即是形成我們日常生活中的一部分，而政策網絡則是從網絡的生活環境概念化，進而系統化的分析方法，是較傳統分析方法更有彈性的分析架構。在現在的社會中，想要製造對立的關係很容易，想要挑出他人的問題也是容易的，但是如何促使人們溝通呢？在這個民眾對政府信任低落的時代，社會上的急需解決的公共議題卻未見減少，若里長能發揮一個更作為連結政府和民眾之間溝通的良好媒介，發揮其作為中介樞紐的功能。本研究更期許里長在核子事故緊急應變的政策宣導中，是一個能讓民眾和政府之間的溝通更為順暢的角色。透過政策網絡中的社會網絡分析方法，嘗試去解析在核二廠周遭地區的里長，他們在緊急應變網絡中所擁有的角色、地位及其對網絡的影響，並進一步提出改善當前緊急應變宣導僵化的困境。 本研究透過社會網絡分析的中介性分析結果，發現雖然在緊急應變宣導的政策網絡中，里長確實擁有強大的動員能量，更在網絡中有無法抹煞的影響力，但里長卻並非網絡的單一中介核心，在地方上的緊急應變宣導網絡中，形成了多元的中介核心，這些網絡參與者或因為公務上的正式關係，或因為掌握核能的專業知識，因此，各自在網絡中占有重要的地位，但是若核子事故發生時，這些參與者又會形成環環相扣的宣導和疏散系統，缺一不可。故本研究認為里長的角色，確實會對緊急應變宣導產生不同層面的影響，里長在網絡中也具有相當深厚的稟賦，但更多時候里長只是消極的在執行。 最後本研究彙整出不同受訪者的意見，歸納出了兩個方向性不同的建議，期望負責緊急應變宣導的單位能重新省思這些根本性的問題：第一，只有讓民眾真正的體驗過，體驗才會轉換成有價值的經驗和記憶；第二，對於緊急應變宣導的結構性省思，政府擁有的人力、資源和時間有限，政府官員相較於民眾是否是更需要宣導的群體？

隨著資訊科技的發展，數位學習的觀念逐漸興起，在二十一世紀強調知識經濟的今天，自主學習及問題解決能力的養成更顯重要，而藉由網路進行問題導向合作學習，學習者可更方便的透過自主學習方式培養問題解決能力。然而學習者在進行網路合作學習的互動期間會接收到大量來自同儕的資訊，有些學習者常會因為無法判斷資訊的正確性，而無法有效選擇、判斷、分析與整合所獲得的資訊，進而觀望同儕或是意見領袖的意見。因此，本研究利用學習者在問題導向網路合作學習歷程中所產生的社會網路互動資料，利用品質Q函數結合基因算法進行社群探勘，並搭配PageRank演算法找尋出每個社群中的較意見領袖，探討採用教師直接進行資訊傳播的一級資訊傳播模式與透過社群意見領袖進行資訊傳播的二級資訊傳播模式對於學習者的學習成效、社會網路互動及團體凝聚力的影響。此外，也探討採用這兩種資訊傳播模式的不同性別及不同人格特質學習者的學習成效、社會網路互動及團體凝聚力是否具有顯著差異。 研究結果發現：(1)在問題導向網路合作學習環境下，採用發佈訊息給意見領袖之二級資訊傳播模式的實驗組學習者，在學習成效上顯著優於教師透過網站公告之一級傳播模式的控制組學習者；(2)在問題導向網路合作學習環境下，採用發佈訊息給意見領袖之二級資訊傳播模式的實驗組女性學習者，在學習成效上顯著優於透過教師網站公告之一級資訊傳播模式的控制組女性學習者，但兩組男性學習者之間則無顯著差異；(3)在問題導向網路合作學習環境下，採用發佈訊息給意見領袖之二級資訊傳播模式的實驗組學習者，在促進同儕互動成效上顯著優於教師透過網站公告之一級傳播模式的控制組學習者;(4)透過品質Q函數結合基因演算法偵測社群，以及使用PageRank找尋社群意見領袖之方法，能精確的協助教師找到問題導向網路合作學習社群之意見領袖。 最後，根據研究結果，本研究提出教學實施及未來研究方向建議，供後續研究參考以進行更深入的探究。 / The concept of e-learning gradually emerges with the development of information technology. In the 21st century when knowledge economy is emphasized, the cultivation of self-directed learning and problem-solving ability becomes more important. Learners with problem-based cooperative learning through networks can more conveniently cultivate the problem-solving ability with self-directed learning. Nonetheless, learners would receive large amount of peer information during the network cooperative learning interaction; some learners therefore could not effectively select, judge, analyze, and integrated the acquired information by judging the accuracy of information to further observe the opinions of peers or opinion leaders. For this reason, learners’ social network interaction data generated in the problem-based network cooperative learning process are proceeded community mining by combining quality function Q and genetic algorithm, and PageRank algorithm is applied to search for the opinion leader in each community in order to discuss the effects of teachers directly proceeding first-order information communication model and second-order information communication model through community opinion leaders on learners’ learning outcome, social network interaction, and group cohesiveness. Furthermore, the effects of such two information communication models on learning outcome, social network interaction, and group cohesiveness of learners with different genders and personality traits are also investigated. The research findings show (1) learners in the experimental group with second-order information communication model by distributing information to opinion leaders, under the problem-based network cooperative learning environment, significantly outperform learners in the control group with first-order communication model through network announcement on the learning outcome; (2) female learners in the experimental group with second-order information communication model by distributing information to opinion leaders, under the problem-based network cooperative learning environment, present remarkably better learning outcome than female learners in the control group with first-order information communication model through network announcement, while no significant difference appears between male learners in both groups; (3) learners in the experimental group with second-order information communication model by distributing information to opinion leaders, under the problem-based network cooperative learning, notably show better peer interaction effectiveness than learners in the control group with first-order communication model through network announcement; and (4) combining quality function Q with genetic algorithm to detect community and applying PageRank to search for community opinion leaders could accurately assist teachers in finding out the problem-based network cooperative learning community opinion leaders. Finally, suggestions for teaching practice and future research, according to the research results, are proposed in this study for successive research.

L’étude scientifique des réseaux criminels démontre, de plus en plus, que leur structure est flexible et dynamique et que la thèse du contrôle ou de la centralisation des marchés criminels est discutable. Pourtant, devant la présence d’une organisation criminelle dite «traditionnelle» dans un marché criminel, autant la population que les milieux médiatiques, politiques, policiers et judiciaires, peuvent percevoir le marché comme étant contrôlé par cette organisation. Le fait de surévaluer la menace réelle de certains groupes criminels et de considérer que la centralisation des marchés criminels existent au détriment de la collaboration entre différents individus et groupes d’un réseau, peut notamment influencer les stratégies policières. D’une part, les autorités policières peuvent orienter leurs stratégies en tenant pour acquis que la structure dont s’est doté une présumée organisation criminelle se transpose dans le marché criminel dans lequel ses membres opèrent. D’autre part, cette organisation devient la première cible des autorités et les autres participants du réseau se voient accorder une moins grande importance dans les activités du marché. La recherche qui suit présente les résultats d’une analyse de réseau effectuée à partir des transcriptions de surveillances électroniques et physiques issues d’une importante opération policière visant la lutte aux motards criminalisés : l’opération Printemps 2001. À l’aide de ces données, un réseau de 349 individus a été créé. Bien que la cible principale de l’opération policière ait été l’organisation des Hell’s Angels, plus précisément, le chapitre Nomads et son club-école, les Rockers, d’autres groupes et d’autres individus ont été interceptés par les surveillances policières. Il ressort des analyses de la position occupée par l’ensemble des groupes et des individus identifiés, que les principales cibles des autorités policières n’étaient pas celles qui occupaient les positions les plus stratégiques pour être influentes et durer dans la portion du marché ciblée par l’opération. / The scientific study of criminal networks reveals that their structure is flexible and dynamic and that the thesis supporting the control or the centralization of the criminal markets are at the least debatable. Nevertheless when a «traditional» criminal organization is active in a criminal market, the people, the media, the politicians, the police force and the judiciary tend to perceive that the market is under the control of that organization. In over-evaluating the real threat posed by certain criminal groups and in considering that there is a centralization of the criminal markets held by a known criminal organization, police strategy is biased and underscores the importance and influence of other individuals or groups of persons within the criminal market. Police strategy is then oriented in thinking that the structure of a criminal organization is transposed in the criminal market wherein its members operate. Consequently, the organization becomes the main target of the authorities and giving less attention to the other actors in the activities of the market. The following research paper presents the results of a network analysis taking its main sources from transcripts of electronic and physical surveillance collected during an important police operation against criminal bikers in the Province of Québec, Canada, and known as Operation Springtime 2001. From these transcripts, a network of 349 individuals was created. Though, the Hells Angels organization and more precisely the Nomads Chapter and its farm team, the Rockers, were the main targets of the police operation, other groups and individuals were also intercepted by police surveillance. After analysis of the position occupied by all the groups and individual that were identified it became apparent that the main target of the police authorities were not those who held the most strategic positions to exercise influence and last in the market under examination by the operation Operation Springtime 2001.