Earticle

동식물의 서식지 제공 및 수문학적 조절 등 다양한 생태계 서비스를 제공하는 습지는 경관 내 습지간의 상호작용을 통해 생태계를 구성한다. 따라서 습지경관에서의 생태계의 리질리언스 등의 기능을 평가하기 위해서는 습지의 동역학적 특성과 더불어 습지간에 형성되는 생태적 연결성 분석이 필요하다. 본 연구에서는 습지를 생태학적 노드로 정의하여 습지 서식종의 분산 모형에 따라 발생하는 습지간 연결을 통해 생태 네트워크를 생성하고 네트워크 분석 방법을 통해 생태 네트워크의 특성을 비교, 분석하였다. 임계거리를 활용한 분산모델 (threshold distance)의 경우 확률적인 분산모델(exponential dispersal kernel, heavy-tailed dispersal model)과 비교하여 국지적인 군집화가 높으나 습지 간의 이동에는 비효율적인 것으로 나타났다. 반면 확률적 분산모델의 경우 국지적인 군집화는 낮게 나타나나 습지 경관 내에서의 이동은 효율적인 것으로 나타남에 따라 분산 모델에 따른 생태 네트워크 특성에 차이가 발생함을 확인하였다. 본 연구는 향후 습지경관 리질리언스 분석을 위한 생태 네트워크 구축의 기초자료로 활용될 수 있을 것으로 사료된다.

Wetlands that provide diverse ecosystem services, such as habitat provision and hydrological control of flora and fauna, constitute ecosystems through interaction between wetlands existing in a wetlandscape. Therefore, to evaluate the wetland functions such as resilience, it is necessary to analyze the ecological connectivity that is formed between wetlands which also show hydrologically dynamic behaviors. In this study, by defining wetlands as ecological nodes, we generated ecological networks through the connection of wetlands according to the dispersal model of wetland species. The characteristics of these networks were then analyzed using various network metrics. In the case of the dispersal based on a threshold distance, while a high local clustering is observed compared to the exponential dispersal kernel and heavy-tailed dispersal model, it showed a low efficiency in the movement between wetlands. On the other hand, in the case of the stochastic dispersion model, a low local clustering with high efficiency in the movement was observed. Our results confirmed that the ecological network characteristics are completely different depending on which dispersal model is chosen, and one should be careful on selecting the appropriate model for identifying network properties which highly affect the interpretation of network structure and function.

In recent years, frequent vaccine safety events in China have become a serious public health problem. Especially in the new media era, vaccine safety events have received close attention from the public as well as the government. If they are not handled properly, many potential risk factors will be brought to social stability, the credibility and authority of the government will be affected. And many negative impacts will be brought to China national immunization program. In this paper, we summarized the inadequacies of vaccine event research, and analyzed the risk factors of vaccine in R&D, transportation, storage, vaccination and other parts. Based on the double perspectives of supervision and disposal, we constructed a risk analysis framework for vaccine safety events. Taking the 2016 Shandong Vaccine Event as an example, we analyzed the mechanism of the occurrence, development, evolution and termination of vaccine evens, and summarized the possible social risks caused by vaccine events. Taking the 2018 Changchun Changsheng Vaccine Event as an example, we analyzed the emergency response network attributes of vaccine event based on the complex network theory, including structural characteristics, organizational functions and overall performance. In view of the above research conclusions, we put forward countermeasures for vaccine events that are suitable for China’s national conditions, with a view to improving the risk control and emergency response capabilities of public health emergencies.

In financial market considered as one of complex systems, there exists highly nonlinear interaction between heterogeneous traders. Due to this nonlinear interaction, emergent behavior so called stylized facts occurs in financial market. To understand impact of interaction between heterogeneous traders in financial market, we propose an agent based model consists of heterogeneous agents such as fundamentalist, optimistic and pessimistic and interaction between them. Fundamentalist make strategy using the fundamental value of market and play a role of stabilizing market. Fundamentalist forecasts future price will converge to fundamental value. While optimistic and pessimistic called by chartist have an investment strategy using the trend of past price and has a role of destabilizing market. Optimistic (pessimistic) forecasts future price will be larger (smaller) than current price. These three type agents change their own types into other types using transition rules dominated by herding and relative payoff strategy. We consider the topology of interaction between traders using complex network which is constructed by regular, random, small world and scale free network. We find that there were observed stylized facts such as power-law tails and long memory property of volatility in scale free network. Also, it was observed that frequent switching behavior between agent types in scale-free network with small clustering coefficient and short average path length. These results support that the heterogeneous and power-law scaling of interaction between traders would be the source of stylized facts in financial market.

We investigated the grouping properties of industry sectors in the complex networks based on stock data for US and Korean stock markets. The complex networks are constructed by the minimal spanning tree (MST). We propose a novel approach based on the shortest path length (SPL) between stocks to quantify the grouping properties of industry sectors. We found that the grouping coefficients for the United States have a higher value than those of the Korean stock market. In particular, for the Korean stock market, the conglomerates, which are made up of companies belonging to diverse industry sectors, have significant grouping coefficients.

In modern economy, any firm cannot sustain by itself. Whatever the type of a firm, it is tangled up with other firms in any relation of supply and demand, partnership or competition, etc. In 2021, for example, chip shortage caused by the spread of COVID-19 and the sanction on Chinese chipmakers stroke the global automotive industry. As a result, major car original equipment manufacturers (OEMs) such as GM, Ford, Toyota, and many others stopped their production, which serially stopped their automotive component supplier’s production as well. However, the business magazine Forbes warns the worse situation with the messages “Battery scarcity could dwarf chip shortage impact on global auto sales” and “The semiconductor shortage will cut a total of 8.1 million cars from global production between 2021 and 2023, while between 2022 and 2029, 18.7 million rechargeable electric cars will be lost because of battery cell shortages” (Winton 2021). Due to the interdependence between firms, if any disruption erupts in the industry, its ripple effect impacts the cross-over in a multi-tiered value chain (Cachon and Lariviere, 2001). In 2010s, electric vehicle industry emerged by strong environment regulations and the hyper growth of the industry pioneers who are strongly based on information technology (IT), such as Tesla. Actually, automotive industry including electric vehicle is no longer limited to manufacturing, but is growing rapidly through a complex value chain combined with advanced IT technologies. Therefore it is highly required to understand the complex pattern and sustainability of the highly entangled system. In this research we investigate how the electric vehicle industry emerges and the resilience of the value chain changes. To tackle the research question, we introduce the novel methodological framework based on complex network theory and agent based model approach. From the empirical data on electric vehicle value chain of 6 years, we apply the framework to address the evolution of the industry using weighted network analysis (Figure 1). We found that the electric vehicle industry becomes more heterogeneous structure (Figure 2). This means that the companies. In complex network theory, the heterogeneous network structure has been well known to have the properties of “double-edge swords” in the robustness of the system, that is, it is usually very robust, but the collapse of a few central firms can cause whole system to collapse with a huge ripple effect (Albert et al. 2000). With the understandings of structural properties of electric vehicle value chain network, we examine the resilience of the network with introducing the agent based simulation model. From our simulation results, as year goes, the electric vehicle value chain becomes less resilient. Furthermore, from the result of the distinction between individual firm’s impact of unweighted and weighted aspect, we found some firm’s influence would be underestimated when one only consider the unweighted network properties. Our novel approach based on weight network analysis and agent based modeling would more capture the characteristics of electric vehicle industry and shed light on understanding systemic risks due to the individual firm’s disruption.

지속적인 기후 및 도시구조의 변화, 기술의 발전 등으로 인해 최근의 재난들은 종래의 전통적 재난 유형과 다른 양상으로 발현되고 있으며, 사회 구성요소 간 연결성의 증대로 재난은 더욱 대형화․복잡 화된 특징을 띄고 있다. 본 연구에서는 복합재난의 핵심 개념인 재난의 “연계성”을 파악하기 위해, 전문가 조사를 통해 구축한 재난유형별 취약요소 정보를 기반으로 사회연결망 분석을 실시하였다. 네트워크 중심성 분석결과, 풍수해, 미세먼지 등은 모든 종류의 중심성이 높아 재난의 연계성 관점에 서 매우 중요한 재난유형이라 할 수 있다. 연결 중심성이 높은 감염병, 정보통신은 사회 전반적인 유기적인 대책이 요구되며, 근접 중심성이 높은 사회기반시설 붕괴, 산불의 경우 타 재난으로 연계되 는 경로가 짧아 신속한 대응이 필요한 것으로 나타났다. 커뮤니티 분석을 통해 재난의 연계성 관점 에서 전체 재난유형이 6개의 그룹으로 분류되는 것을 확인하였고, 이는 발생 가능성이 상대적으로 높은 복합재난 상황을 가정할 수 있는 기초자료로 활용될 수 있을 것으로 판단된다.

Recent disasters are emerging in different ways from traditional disaster types due to climate change, urban structural changes, and technological advances. Disasters are becoming larger and more complex because of the increased connectivity between social components. In this study, social network analysis was conducted to identify the “connectivity” of disasters based on information of vulnerabilities by type of disaster established through expert surveys. As a result of the analysis of network centrality, storm and flood damage, fine particulate matter etc. are significant types of disasters in terms of disaster linkages since they were highly calculated for all kinds of centrality. Infectious diseases and information and communication accidents with a high degree centrality index require systematic measures across society. Infrastructure collapse and forest fires with high closeness centrality require a prompt response since the path to other disasters is relatively short. Through community analysis, it was confirmed that the all disaster types were classified into six groups in terms of the connection of disasters. This can be used as basic data to assume complex disaster situations with relatively high probability of occurrence.

외교의 행위주체들 간의 상호관계 양식은 국제관계의 역사적 전개과정에서 다양한 변화양상을 제기해 왔다. 전근대적 및 근대적 외교를 거쳐 현재의 탈근대화, 세계화, 지식정보화, 민주화 추세에 따라 외교 또한 지방화 시대에 직면하여 새로운 관념과 실행양식을 요구하고 있다. 본 연구는 9·11 테러를 계기로 중앙정부 차원에서 시도된 외교변환 모델에서 제기된 미국형 새로움을 기반으로 향후 지방외교 또는 도시외교의 방향 및 인식 등에 제공될 수 있는 발전적 함의를 탐색하고자 한다. ‘4개년 외교·개발검토보고서(QDDR)’를 중심으로 한 미국형 외교변환 모델을 통해 국제외교 환경의 새로운 지형, 외교의 주체와 상호관계, 쟁점영역의 연계성 및 실행방식 등을 중심으로 제기된 스마트파워형 복합네크워크 외교양식을 통해, 상대적으로 전통적인 유형 및 수준에 머물러 있는 현 단계 지방외교의 미래형과 연계될 수 있는 함의 제시가 유의미한 기대로 발전될 수 있음을 모색하고자 한다. 다만 현재의 지방외교에서 노출된 탈근대형 외교에 대한 인식 및 관심의 부족, 전문인력·프로그램·예산 등 실행 체계 및 효율적 운용 능력의 부재 등 지금까지 일관되게 관찰되어 온 한계점들을 전제한 범위 내에서 논의될 것이다.

The Interaction modes among general diplomatic agents has been presented in various forms during historical development of international relations. After pre-modern and modern diplomacy modes, the up-to-date diplomatic environments, including globalization and knowledge-based information, requires new creative ideas and practices of diplomacy. This study aims to analyzes the ever-changing diplomatic configuration and provides some evolutionary implications toward local diplomacy, through some newness of the U.S. transformational diplomacy on its central government's base since September 11 terrorist reaction. Those implications includes, through analyzing the U.S.'s Transformational Diplomacy and QDDR, some emerging configuration of international diplomatic environment, interrelationship among diplomatic agents, reciprocal linkages among diplomatic issue-areas and their practices. In spite of some significant implications, however, found toward future orientations for local diplomacy, this study is based on the recognition that present local diplomacy has some deep-rooted weakness and limitations in terms of adequate perception of changing diplomacy, inexistence of specialized expertize, vulnerable budget system, inefficient operational capacity of relevant programs, etc.

연구목적: 도시의 물리적·비물리적 구조간 연결이 확대되고 복잡해짐에 따라 재난으로 인한 피해가 복 합적으로 발생하는 복합재난의 위험성이 증가하고 있다. 이러한 복합재난에 대비하기 위해서는 복합 재난으로 전개될 수 있는 재난들을 선제적으로 식별하여 관리하는 것이 중요하다. 이러한 배경에서 본 연구는 국내외 복합재난 관련 연구의 동향을 분석함으로써 복합재난으로 연구된 재난 유형을 분석하 고, 이를 통해 향후 복합재난 관리의 방향성을 제시하고자 한다. 연구방법: 본 연구는 재난과 관련된 국 내외 학술지에 최근 20년(2002-2021년)간 등재된 복합재난 관련 993편의 서지정보에 기반하여 동시출 현 빈도분석을 수행하여 재난 유형 간 네트워크를 구축하였으며, 네트워크 분석을 통해 복합재난 연구 동향에 관한 국내외 및 시기별 비교분석을 수행하였다. 연구결과: 국내에서는 풍수해(집중호우, 태풍등), 기반시설 붕괴, 화재와 관련한 복합재난 연구의 비중이 높았으며, 최근 들어 지진과 산사태와 관련된 복합재난 연구가 증가하는 것으로 분석되었다. 반면, 국외에서는 풍수해 및 지진과 더불어 기반시설 붕괴에 관한 연구의 비중이 높았으며, 지진해일과 정전 등 재난 연계 유형 이 다양하게 나타났다. 결론: 본 연구는 복합재난 연구 동향에 대한 이해도를 높이고, 앞으로 국내 복합재난 연구가 가져야 할 방향성을 제안 하는 데 활용할 수 있을 것으로 기대된다.

Purpose: As the connection between physical and non-physical structures in cities is expanding and becoming more complex, the risk of complex disaster which causes damage in a complex way is increasing. Preparing for these complex disasters, it is important to preemptively identify and manage disasters that can develop into complex disasters. Therefore, this study analyzes the disaster types studied as complex disasters by analyzing the trends of domestic and international studies related to complex disasters, and presents the direction of complex disaster management in the future. Method: We first established co-occurrence networks between disaster types based on 993 articles related to complex disasters published in disaster-related journals for the last 20 years (2002-2021). Then, through network analysis, domestic and international complex disaster research trends were compared and analyzed. Result: Research on complex disasters related to storm and flood damage, infrastructure failure and fire was high in domestic studies, and it was analyzed that research on complex disasters related to earthquakes and landslides has recently increased. However, in international studies, the proportion of studies on infrastructure failure along with storm and flood damage and earthquake was high, and various types of disasters such as tsunami and drought appeared. Conclusion: The results of this study are expected to increase the understanding of the trends in complex disaster research and provide suggestions of domestic complex disaster research in the future.

본 연구는 인천 남동국가산업단지 입주기업을 대상으로 판매 네트워크와 기업 간 판매거래량의 결정요인을 분석하였다. NICE신용평가정보의 부가가치세 거래자료(2019–2021)를 활용해 판매 연계의 공간·산업 분포를 파악하고, 매출 상위 100개 선도기업 중심의 다층 공급망을 재구성해 남동산단 기업의 단계별 위상을 확인하며, 중력모형을 추정하여 판매거래량 결정요인을 식별하였다. 주요 결과는 다음과 같다. 첫째, 남동산단의 판매 네트워크는 수도권에 집중된 구조이나 산업단지 내부 거래는 4.02%에 불과하다. 업종 측면에서는 전자부품·기계장비가 핵심 축을 이루고, 이들 업종은 동일 업종 내 거래비중이 높을 뿐 아니라 전기장비·자동차·금속가공 등 연관 업종과의 거래가 활발하다. 둘째, 선도기업 중심의 공급망에서 남동산단 기업은 주로 2차와 3차 단계에서 참여하며, 공급망의 하위 단계로 내려갈수록 평균 공급 비중이 증가한다. 특히 3차 공급망에서는 일부 조합에서 공급 비중이 100%에 달하는 등 특정 거래에서 독점적 지위가 확인된다. 셋째, 판매거래량 결정요인은 대체로 중력모형의 가정을 따르나, 선도기업 중심 공급망 내부에서는 지리적 근접성의 효과가 유의하지 않고, 대신 거래집중도가 판매규모 확대에 유의한 양(+)의 영향을 보인다. 이는 공급망 맥락에서 관계의 안정성과 지속성이 거래강도를 높일 수 있음을 의미한다. 이러한 결과는 수도권 연계 물류·정보 인프라의 광역적 고도화, 연관 업종 간 협력 강화, 장기·안정적(관계특화) 거래 촉진 등 정책 설계에 시사점을 제공한다. 이러한 결과는 수도권 연계 물류·정보 인프라의 광역적 고도화, 연관 업종 간 협력 강화, 장기·안정적(관계특화) 거래 촉진 등 산업단지의 기능적 연계구조 강화를 위한 정책 설계에 시사점을 제공한다.

This study examines the sales network and determinants of inter-firm sales volume among firms in the Incheon Namdong National Industrial Complex. Using NICE Credit Information’s value-added tax transaction data (2019-2021), we map the spatial and industrial distribution of sales ties, reconstruct a lead-firm-centered supply chain to locate Namdong firms within it, and estimate a gravity model to identify determinants of sales volume. Key findings are as follows. First, internal transactions account for only 4.02%, with most sales flowing to the Seoul–Gyeonggi area. Second, electronics components and machinery form the core industrial axes linking to related sectors. Third, in the lead-firm chain, Namdong firms participate mainly as 2nd- and 3rd-tier suppliers, with average supply shares increasing at lower tiers. Fourth, within lead-firm transactions, seller concentration matters more than geographic proximity. These results inform policies on metropolitan logistics connectivity, related-industry collaboration, and long-term relational contracting.

With appearance of small-world networks and scale-free networks, complex networks have provided natural theories to describe a variety of complex systems in many domains of science. In this paper, from the standpoint of Raman spectrum research aspect in material science, Raman spectrum analysis of graphite and diamond microcrystal retained by gallium phosphide nanoparticles is introduced. We found that molecular configuration of basic fuchsin adsorbed on gallium phosphide nanoparticles through experiments. Based on these, we adopt corresponding method of complex network to research some problems in Raman spectrum analysis and directly use complex network to convert real agglomerations into network model. With the intention of studying the topologies of agglomeration network, synchronizability behavior of agglomeration network are also discussed.

Disperse engineering information constitutes a domain of complex relationship, into which research using complex network could contribute significantly to its organization and preservation. A complex network which takes engineering software data formats as nodes is constructed and its statistical characteristics which include directed edge or undirected edge, the node number, the edge number, average path length, clustering coefficient and node degree distribution, etc, are analyzed in this paper. Voronoi diagram based complex network visualization method and its retrieval method are provided. According to statistical characteristics of constructed network, visualization method calculates network nodes’ position in a two-dimensional plane and divides this plane into Voronoi diagram by feature nodes of network nodes’ clustering and network nodes. Retrieval method restricts compared nodes to nodes in Voronoi domain of feature nodes which are more related to query node, so that the number of compared nodes is reduced in retrieval process. The experiment result indicates applying this method into data formats conversion path retrieval can ensure retrieval precision and improve retrieval efficiency, thus provide reliable basis for migrating numerous disperse engineering information.

Enterprise organization can be thought as a complex system which constitutes of each level employees by interactions, and its robustness and fragility will affect tits survival and development directly, even its performance. This paper tries to look for the evolution characteristics of enterprise organization and constructs the model from complex network perspective by abstracting enterprise organization, then derives and calculates its robustness and fragility, and obtain the robustness threshold of enterprise organization which under the random attacks and deliberate attacks. The conclusion can be drawn through case study are as follows: the enterprise organization is a scale free network, when it reaches a certain scale, its stability depends on the number of junior staff interaction. So we can improve the robustness of enterprise organization by changing the network formation mechanism, strengthening network maintenance and create a good atmosphere of teamwork.

A structural vulnerability analysis of China mine power grid, which considering the particular of topological structure and the increase gas power generation nodes, is proposed based on complex network theory. According to transmission capacity of weighted network model, this paper analyses the network characteristics, including degree distribution, clustering coefficient and average path length, to prove that the mine power grid is a scale -free network. The node importance, node betweenness, edge weight and edge betweenness are regarded as the index of identification and the remaining load capacity after attack is chosen as evaluation index to analyze the structural vulnerability of mine power grid to have a fault simulation of the mine power grid before and after adding gas power generation nodes. The results of fault simulation show that the model is in line with the actual situation of the China mine power grid, and can better identify and assess the vulnerability of the mine power grid.

본 연구는 독일 연방교육연구부가 장기간 추진해온 동독지역 대상 혁신지원 정책 프로그램의 특징 및 효과를 분석하여 체제전환지역 등 혁신기반 취약지역을 위한 시사점을 도출하는데 목적이 있다. 동독지역의 혁신지원정책은 혁신네트워크의 상호작용의 질을 향상시키기 위한 상향식 혁신네트워크정책이다. 본 연구는 동독지역의 혁신네트워크정책을 최근 주목받고 있는 복잡계 네트워크이론을 적용하여 평가하였다. 동독 혁신네트워크정책은 복잡계 네트워크 이론이 강조하는 이질적인 다양성, 다중성, 네트워크의 자기조직화 기능 그리고 네트워크의 견고성 등에 초점을 맞춘 것으로 평가되었다. 정책효과에 대한 실증분석 방안의 하나로 지역별 과제이행 실적과 GRDP, 산업고용, 특허출원 등의 추세 변화를 비교 분석하여 전반적으로 ‘양’의 관계가 있음을 확인하였다. 이 결과들을 기반으로 동독지역 대상 혁신 정책이 역내 혁신기반 강화 등 지역의 내생적 성장요인중 하나로 작용한 것으로 추론해볼 수 있다. 이를 통해 몇 가지 시사점을 도출하였다. 첫째, 혁신네트워크정책은 혁신 취약지역의 혁신역량 강화를 통해 경제성장에 기여할 수 있다. 둘째, 지역실정이 반영되고 자발성을 최대한 이끌어낼 수 있는 상향식 혁신정책이 바람직하다. 셋째, 혁신지원 사업이 네트워크 구축 자체보다는 요소들 간 상호작용의 질 제고에 중점을 둘 필요가 있다. 넷째, 혁신네트워크 및 혁신클러스터 정책은 지속성과 일관성이 반드시 필요하다.

This study analyzed the characteristics and effects of the innovation support program for Eastern Germany, which has been promoted by the Federal Ministry of Education and Research for a long period of time. Innovation support policy in Eastern Germany is a bottom-up innovation network policy to improve the quality of innovation network interactions. This study evaluates the innovative network policy of Eastern Germany by employing the recently received complex network theory. The Innovation Network Policy for Eastern Germany was evaluated to focus on heterogeneous diversity, multiplicity, self-organizing function of networks and network robustness which complexity network theory emphasizes. As one of the empirical analysis methods for the policy effect, it is confirmed that there is a positive relation between the number of initiatives of each region and trends of GRDP, industrial employment, and patent application. The regional innovation network policy for Eastern Germany was evaluated to have contributed to the endogenous growth of the region by strengthening the innovation base of the region. Some implications are derived from the analysis of innovation network policy for Eastern Germany. First, the innovation network policy can contribute to economic growth by strengthening the innovation capacity of vulnerable areas. Second, a bottom-up innovation policy that can reflect the local specialties and maximize spontaneity is desirable. Third, it is necessary to focus on improving quality of interaction among players rather than network construction itself. Fourth, innovation network and innovation cluster policy must be sustainable and consistent.

In this paper, in order to assess the risk of network, network security assessment process being involved in the content in detail. The above-mentioned research-based support system platform security test and evaluate research of the safety situation assessment. Prediction subsystem detailed design and carry out the implementation. In this paper, network security issues, as a detailed study of neural networks knowledge. Focus on the evaluation methods and calculation rules of nerve network technology, it has been studied by specific examples. Calculation demonstrated the feasibility of neural network evaluation model through actual case, which pointed out the traditional methods. This paper focuses on the network security assessment based on neural network technology, extensive analysis of the proposed major modeling tool indicator system for network security analysis. The application of neural networks was a network security assessment and to optimize the network by genetic algorithm. The key parameter combination operated efficiency of neural networks to get better play.

Most of the local community detection algorithms based on node similarity often simply count the number of common neighbors as the basis of selecting members of the community that cannot accurately measure the value of a common neighbor node in the information transmission of nodes. For this, we use the new concept of a common neighbor contribution; borrowed from the idea about the local modularity, put forward a new fast community detection algorithm. The algorithm accurately selects candidate nodes to join the community, according to the contribution of the common neighbor node, also without calculating local modularity for each common neighbor node, and greatly improved the accuracy and efficiency in merging Members. the experimental results of the computer-generated network and the real networks verified reliability and efficiency of the algorithm.

The majority of recent embedded systems are based on MPSoCs (Multi-Processors System on Chip) architectures. The topologies and the interconnections inside multi processors almost adopt NoCs (Networks on Chip) whose topology and task scheduling algorithm have a direct impact on its performances. In this paper, by using static data flow, a task scheduling algorithm which would automatically assign the application tasks onto different processors is proposed based on complex network. The goal of our algorithm is to replace the static data flow subnetwork by a single dynamic data flow actor such that the global performance in terms of latency and throughput is optimized. Through complex network, it greatly enhances the power of our algorithm in terms of avoiding deadlock, saving energy and providing for integration with more general models of computation. Experimental results show up to 60% performance improvement for real-world examples.