Self-organization on social media: endo-exo bursts and baseline fluctuations

A salient dynamic property of social media is bursting behavior. In this paper, we study bursting behavior in terms of the temporal relation between a preceding baseline fluctuation and the successive burst response using a frequency time series of 3,000 keywords on Twitter. We found that there is a fluctuation threshold up to which the burst size increases as the fluctuation increases and that above the threshold, there appears a variety of burst sizes. We call this threshold the critical threshold. Investigating this threshold in relation to endogenous bursts and exogenous bursts based on peak ratio and burst size reveals that the bursts below this threshold are endogenously caused and above this threshold, exogenous bursts emerge. Analysis of the 3,000 keywords shows that all the nouns have both endogenous and exogenous origins of bursts and that each keyword has a critical threshold in the baseline fluctuation value to distinguish between the two. Having a threshold for an input value for activating the system implies that Twitter is an excitable medium. These findings are useful for characterizing how excitable a keyword is on Twitter and could be used, for example, to predict the response to particular information on social media.Comment: Presented at WebAL-1: Workshop on Artificial Life and the Web 2014 (arXiv:1406.2507

Can Generative Agents Predict Emotion?

Large Language Models (LLMs) have demonstrated a number of human-like abilities, however the empathic understanding and emotional state of LLMs is yet to be aligned to that of humans. In this work, we investigate how the emotional state of generative LLM agents evolves as they perceive new events, introducing a novel architecture in which new experiences are compared to past memories. Through this comparison, the agent gains the ability to understand new experiences in context, which according to the appraisal theory of emotion is vital in emotion creation. First, the agent perceives new experiences as time series text data. After perceiving each new input, the agent generates a summary of past relevant memories, referred to as the norm, and compares the new experience to this norm. Through this comparison we can analyse how the agent reacts to the new experience in context. The PANAS, a test of affect, is administered to the agent, capturing the emotional state of the agent after the perception of the new event. Finally, the new experience is then added to the agents memory to be used in the creation of future norms. By creating multiple experiences in natural language from emotionally charged situations, we test the proposed architecture on a wide range of scenarios. The mixed results suggests that introducing context can occasionally improve the emotional alignment of the agent, but further study and comparison with human evaluators is necessary. We hope that this paper is another step towards the alignment of generative agents.Comment: 14 pages, 6 figure

ソーシャルメディアにおけるバースト現象の理解と予測に関する研究

科学研究費助成事業 研究成果報告書：基盤研究(C)2015-2017課題番号 : 15K0042

A Sensorimotor Signature of the Transition to Conscious Social Perception: Co-regulation of Active and Passive Touch

It is not yet well understood how we become conscious of the presence of other people as being other subjects in their own right. Developmental and phenomenological approaches are converging on a relational hypothesis: my perception of a “you” is primarily constituted by another subject’s attention being directed toward “me.” This is particularly the case when my body is being physically explored in an intentional manner. We set out to characterize the sensorimotor signature of the transition to being aware of the other by re-analyzing time series of embodied interactions between pairs of adults (recorded during a “perceptual crossing” experiment). Measures of turn-taking and movement synchrony were used to quantify social coordination, and transfer entropy was used to quantify direction of influence. We found that the transition leading to one’s conscious perception of the other’s presence was indeed characterized by a significant increase in one’s passive reception of the other’s tactile stimulations. Unexpectedly, one’s clear experience of such passive touch was consistently followed by a switch to active touching of the other, while the other correspondingly became more passive, which suggests that this intersubjective experience was reciprocally co-regulated by both participants

Regional characteristics of diurnal variation of localized heavy rainfall frequency in Tokyo and its surroundings

The present study aimed to clarify the regional characteristics of the diurnal variation of localized heavy rainfall frequency in the Tokyo metropolitan area and Saitama Prefecture based on the dense hourly rainfall data acquired from 290 stations across summers of 15 years between 1994–2010 (June to September). The obtained results can be summarized as follows. The central to western parts of Saitama Prefecture (Cluster 2) displayed a single peak with a large maximum from the evening till the early night hours. In comparison, the western and southern parts of the Tama region (Cluster 4) and the western Tokyo area (Cluster 5) indicated a bimodal pattern with two peaks during the day and night. Moreover, central Tokyo, the northern Tama region, and southeastern Saitama Prefecture (Cluster 3) are located between these areas and can be considered a transition zone between the single-peak and bimodal areas. Despite the moderate increase in the frequency of heavy rainfall from evening to night in the eastern part of the Tokyo metropolitan area as well as the Saitama Prefecture (Cluster 1), it did not exhibit a clear maximum