The Dynamics of Political Parties’ Coalition in Indonesia:\ud The evaluation of political party elites’ opinion

During the Indonesian president election process, the coalition of parties could be shown as the dominant process beside the president campaign. The coalition could be regarded as the emergence of the parties’ preferential coherence based upon the interest and attributes of each party. The similarity and difference of parties’ preference and attributes could be depicted through of party elites’ opinions and attitude toward flowered political issues. In this paper, we use the Heider’s balance theory to construct relation network among parties by using the longitudinal news data of the party elite’s opinion that published by the media, and then analyze the dynamic of coalition formation in the Indonesian political system during the election process. We have shown that the balance of the party’s relational network move toward the larger balance index relative to the initial condition. This phenomenon has verified the structural balance hypothesis especially for the conflict situation such as the election process. Interestingly, the balance of the system is fluctuated dynamically through time following certain trajectory. This dynamics is divided into 3 phases, that is, disorder state, conflict state, and order state, as well as signed the difference of party behavior before and after the legislative election. Moreover, we also analyzed the stability two parties’ relation in particular period in order to understand specifically the dynamic of the system in triadic level

Metabolism of Social System: N-Person Iterated Prisoner’s Dilemma Analysis In Random Boolean Network

Random Boolean Network has been used to find out regulation patterns of genes in organism. This approach is very interesting to use in a game such as N-Person Prisoner’s Dilemma. Here we assume that agent’s action is influenced by input in the form of choices of cooperate or defect she accepted from other agent or group of agents in the system. Number of cooperators, pay-off value received by each agent, and average value of the group, are observed in every state, from initial state chosen until it reaches its state-cycle attractor. In simulation performed here, we gain information that a system with large number agents based on action on input K equals to two, will reach equilibrium and stable condition over strategies taken out by its agents faster than higher input, that is K equals to three. Equilibrium reached in longer interval, yet it is stable over strategies carried out by agents

Bird’s Eye View to Indonesian Mass Conflict: Revisiting the Fact of Self-Organized Criticality

The paper statistically observed the recorded data of the series of social clashes and violence in Ambon, Indonesia in the period of social conflict between 1999-2004. The scaling laws are revealed and the power-law fitting procedures and analysis are conducted. The results also reviewed some findings in wars among countries in the worlds now well known as Richardson’s Law. The paper also discussed the plausible explanations in the sense of possible underlying process of the famous self-organized criticality by reviewing the classic forest fire model. Some further sociological explorations in the sense of computational and agent-based model approaches are also conjectured

Computational Batik Motif Generation: Innovation of Traditional Heritage by Fractal Computation\ud

Human-computer interaction has been the cause of the emerging innovations in many fields, including in design and art, architectural, technological artifacts, and even traditional heritage. In the case of Indonesian traditional heritages, the computation of fractal designs has been introduced to develop batik design – the genuine textile art and skill that becomes a symbol of Indonesian culture. The uniqueness of Batik, which depicted in the richness of its motifs, is regarded as one of interesting aspect to be researched and innovated using computational techniques. Recent studies of batik motifs have discovered conjecture to the existence of fractal geometry in batik designs. This finding has given some inspiration of implementing certain fractal concepts, such escape-time fractal (complex plane) and iterated function system to generate batik motifs. We develop motif generator based upon the Collage Theorem by using Java TM platform. This software is equipped by interface that can be used by user to generate basic patterns, which could be interpreted and painted as batik motif. Experimentally, we found that computationally generated fractal motifs are appropriated to be implemented as batik motif. However, human made batik motifs are less detail and some of them differ significantly with the computationally generated ones for tools used to draw batik and human aesthetic constraints

Innovation as Evolution

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 memetics. 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.artifact, innovation, evolution, memetics, phylomemetic tree, cellular phone.

Metabolism of Social System: N-Person Iterated Prisoner’s Dilemma Analysis In Random Boolean Network

Random Boolean Network has been used to find out regulation patterns of genes in organism. This approach is very interesting to use in a game such as N-Person Prisoner’s Dilemma. Here we assume that agent’s action is influenced by input in the form of choices of cooperate or defect she accepted from other agent or group of agents in the system. Number of cooperators, pay-off value received by each agent, and average value of the group, are observed in every state, from initial state chosen until it reaches its state-cycle attractor. In simulation performed here, we gain information that a system with large number agents based on action on input K equals to two, will reach equilibrium and stable condition over strategies taken out by its agents faster than higher input, that is K equals to three. Equilibrium reached in longer interval, yet it is stable over strategies carried out by agents.evolutionary game theory, N-Person Prisoner’s Dilemma, cooperation, social stability, Random Boolean Network, Transition Rule

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

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.Heider’s Balance Theory, balance index, structure theorem, sentiment relation, social balance, balance configurations

Innovation as Evolution

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