By Shu-Heng Chen, Takao Terano, Ryuichi Yamamoto, Chung-Ching Tai
This quantity is a post-conference book of the 4th international Congress on Social Simulation (WCSS), with contents chosen from one of the eighty papers initially provided on the convention. WCSS is a biennial occasion, together prepared by means of 3 clinical groups in computational social technology, specifically, the Pacific-Asian organization for Agent-Based procedure in Social platforms Sciences (PAAA), the ecu Social Simulation organization (ESSA), and the Computational Social technology Society of the Americas (CSSSA). it really is, for this reason, at the moment the main admired convention within the sector of agent-based social simulation. The papers chosen for this quantity supply a holistic view of the present improvement of social simulation, indicating the instructions for destiny examine and developing an enormous archival rfile and milestone within the background of computational social technological know-how. particularly, the papers incorporated right here disguise large growth in man made monetary markets, macroeconomic forecasting, offer chain administration, financial institution networks, social networks, city making plans, social norms and team formation, cross-cultural reports, political social gathering festival, balloting habit, computational demography, computational anthropology, evolution of languages, public well-being and epidemics, AIDS, safety and terrorism, methodological and epistemological concerns, empirical-based agent-based modeling, modeling of experimental social technological know-how, gaming simulation, cognitive brokers, and participatory simulation. additionally, pioneering reports in a few new examine components, reminiscent of the theoretical foundations of social simulation and express social technology, are also incorporated within the volume.
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Extra info for Advances in Computational Social Science: The Fourth World Congress
1 Definition of portfolio 9 Portfolio Definition PF1 PF2 PF3 PF4 PF5 PFX First quintile of the PCSs Second quintile of the PCSs Third quintile of the PCSs Fourth quintile of the PCSs Fifth quintile of the PCSs None of messages According to Maruyama et al. , bullishness is defined as the difference between the numbers of bullish and bearish messages each month, as follows: Ã Â 1 C No. 3) Bullishness D ln 1 C No. of bearish messages We classified the BBS messages into “bullish”, “bearish”, and “neither” by using a support vector regression (SVR) program, LibSVM .
2 lists the correlations between PCSs, monthly returns, and bullishness. These results show that PCSs1, 2, 7, and 8 have statistically significant correlations with the monthly return and that PCSs4, 5, 6, 7, and 10 have statistically significant correlations with bullishness. Next, we constructed the PCS’s portfolios. We examined them by using regression analysis to determine whether they had abnormal returns in terms of the CAPM. 3 lists the results of the regression analysis of the PCS1 portfolio.
Maruyama K, Umehara E, Suwa H, Ohta T (2009) Is stock BBS content correlated with the stock market? – a Japanese case. In: Proceedings of IEEE SMC international conference 2009, pp 4746–4751 10. Salton G, Buckley C (1988) Term-weighting approaches in automatic text retrieval. Inf Process Manag 24(5):513–523 11. Sharpe WF (1964) Capital asset prices: a theory of market equilibrium under conditions of risk. J Finance 19:425–442 12. Sharpe WF (1985) Investments, 3rd edn. Prentice Hall, Englewood Cliffs 13.
Advances in Computational Social Science: The Fourth World Congress by Shu-Heng Chen, Takao Terano, Ryuichi Yamamoto, Chung-Ching Tai