8 research outputs found

    THE POLITICAL ROBUSTNESS IN INDONESIA

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    The result of Indonesian legislative election 2004 is analyzed with certain comparative with the previous one (1999). This analysis is constructed by using the graph theoretical analysis by finding the Euclidean distances among political parties. The distances are then treated in ultrametric spaces by using the minimum spanning tree algorithm. By having the Indonesian hierarchical taxonomy model of political parties we show some patterns emerging the pattern agrees with the classical anthropological analysis of socio-political system in Indonesia. This fact accentuates a character of robustness in Indonesian political society as a self-organized system evolves to critical state. Some small perturbations i.e.: different voting process resulting the same pattern and occasions statistically, emerges from the social structure based upon political streams: Islamic, secular, traditional, and some complements of all

    POWER LAW SIGNATURE IN INDONESIAN LEGISLATIVE ELECTION 1999-2004

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    We analyzed the distribution of the result of Indonesian 1999 and 2004 legislative election in order to have the statistical properties or any stylized facts. The paper shows that the analysis results the power-law signature persistently in the election of the House of Representative in 1999 and 2004 and more clearly in the result of Regional Representative Council that held for the first time in 2004. It shows that the socio-political system is a complex system constituted by interacting citizens and accentuates universality that the social evolution dynamically turns to be self-organized in critical state

    Innovation as Evolution

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    Cellular phone is one of the most developing technological artifacts today. The evolution occurs through random innovation. Our effort is trying to view the evolution of this artifact from memetic’s point of view. By constructing a phylomemetic tree based on cellular phone memes to infer or estimate the evolutionary history and relationship among cellular phone. We adopt several methods, which are commonly used in constructing phylogenetic tree, they are UPGMA algorithm and Parsimony Maximum algorithm to construct cellphone phylomemetic tree. Therefore we compare with the innovation tree, which is based on serial number and their appearance time. From phylomemetic tree, we then analyze the process of a cellular phone innovation through looking out on the cellular phone type lies in the same cluster. The comparison of the simulation tree result shows a generally different branching pattern, giving a presumption that innovation in cellular phone is not really relating with their serial number, but occurs merely because of random mutation of allomeme design and competes with its technological development

    Social Balance Theory: Revisiting Heider’s Balance Theory for many agents

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    We construct a model based on Heider’s social balance theory to analyze the interpersonal network among social agents. The model of social balance theory provides us an interesting tool to see how a social group evolves to the possible balance state. We introduce the balance index that can be used to measure social balance in macro structure level (global balance index) or in micro structure (local balance index) to see how the local balance index influences the global balance structure. Several experiments are done and we discover how the social group can form separation of subgroups in a group or strengthening a social group while emphasizing the structure theorem and social mitosis previously introduced

    Agent-based Model Construction in Financial Economic System

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    The paper gives picture of enrichment to economic and financial system analysis using agent-based models as a form of advanced study for financial economic post-statistical-data and micro-simulation analysis. The paper reports the construction of artificial stock market that emerges the similar statistical facts with real data in Indonesian stock market. We use the individual but dominant data, i.e.: PT TELKOM in hourly interval. The artificial stock market shows standard statistical facts, e.g.: volatility clustering, the excess kurtosis of the distribution of return, and the scaling properties with its breakdown in the crossover of Levy distribution to the Gaussian one. From this point, the artificial stock market will always be evaluated in order to have comprehension about market process in Indonesian stock market generally

    What can we see from Investment Simulation based on Generalized (m,2)-Zipf law?

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    The paper revisits the investment simulation based on strategies exhibited by Generalized (m,2)-Zipf law to present an interesting characterization of the wildness in financial time series. The investigations of dominant strategies on each specific time series shows that longer words dominant in larger time scale exhibit shorter dominant ones in smaller time scale and vice versa. Moreover, denoting the term wildness based on persistence over short term trend and memory represented by particular length of words, we can see how wild historical fluctuations over time series data coped with the Zipf strategies

    EVOLUTIONARY STABLE PROPERTIES OF POLITICAL PARTIES IN INDONESIA

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    The major idea is to use memetics as an analytical tool on viewing how the existing political parties towards General Election 2004 creating formation of their presidential candidacy, ideology behind it, the change of political atmosphere it will bring, etc. into a compact evolutionary model that exhibits fitness of each political party within population of a society. The strategy used is through transforming polling statistical language into evolutionary stable language of dynamical system. Here, memetic method is applied as an evolutionary computational tool

    Power Law Signature in Indonesian Population

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    The paper analyzes the spreading of population in Indonesia. The spreading of population in Indonesia is clustered in two regional terms, i.e.: kabupaten and kotamadya. It is interestingly found that the rank in all kabupaten respect to the population does not have fat tail properties, while in the other hand; there exists power-law signature in kotamadya. We analyzed that this fact could be caused by the equal or similar infrastructural development in all regions; nevertheless, we also note that the first 20 kabupatens are dominated in Java and Sumatera. Furthermore, the fat tail character in the rank of kotamadya could be caused by the big gap between big cities one another, e.g.: Jakarta, Surabaya, and others. The paper ends with some suggestions of more attention to infrastructural development in eastern regional cities
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