Understanding Change in Recycling and Littering Behavior Across a School Social Network

Understanding how communities change requires examining how individuals’ beliefs and behaviors are shaped by those around them. This paper investigates behavior change across a large social network following a recycling intervention in a New Zealand high school community. We used a mixed methods design, combining focus group data with social network analysis from two waves of a questionnaire that measured friendship networks; recycling and littering behaviors; perceived behavioral norms; and teacher, friend, and parent encouragement for these behaviors. Recycling behavior increased significantly over the course of our study. Supporting the importance of social networks in this context, both littering and recycling behavior showed clear social clustering. Further, the degree of change in an individuals’ littering and recycling behavior across time was predicted by friends’ prior behavior. Focus group data provided insight into students’ perceptions of social interactions and how these contributed to littering and recycling behavior.     

How the Size of Our Social Network Influences Our Semantic Skills

People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals’ linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in social network size and shows that individuals with larger social networks are better at understanding the valence of restaurant reviews. Study 2 manipulated social network size by randomly assigning participants to learn novel evaluative words as used by two (small network) versus eight (large network) speakers. It replicated the finding from Study 1, showing that those exposed to a larger social network were better at comprehending the valence of product reviews containing the novel words that were written by novel speakers. Together, these studies show that the size of one's social network can influence success at language comprehension. They thus open the door to research on how individuals’ lifestyle and the nature of their social interactions can influence linguistic skills.     

The Cognitive Social Network in Dreams: Transitivity,Assortativity, and Giant Component Proportion Are Monotonic

For five individuals, a social network was constructed from a series of his or her dreams. Three important network measures were calculated for each network: transitivity, assortativity, and giant component proportion. These were monotonically related; over the five networks as transitivity increased, assortativity increased and giant component proportion decreased. The relations indicate that characters appear in dreams systematically. Systematicity likely arises from the dreamer's memory of people and their relations, which is from the dreamer's cognitive social network. But the dream social network is not a copy of the cognitive social network. Waking life social networks tend to have positive assortativity; that is, people tend to be connected to others with similar connectivity. Instead, in our sample of dream social networks assortativity is more often negative or near 0, as in online social networks. We show that if characters appear via a random walk, negative assortativity can result, particularly if the random walk is biased as suggested by remote associations.     

人格特质及脑功能连接对社交网络的影响

采用网络分析的方法, 本研究从个体受欢迎程度和个体间亲密程度两方面探究了人格特质对社交网络的影响, 并在此基础上进一步探究了个体间大脑静息态功能连接相似性和社交网络的关系。结果发现：(1)高尽责性的个体在需要“值得信任”特质的社交网络中更受欢迎, 高宜人性的个体在需要“共享时光”的社交网络中更受欢迎; (2)在需要“相同兴趣”特质的社交网络中, 个体间人格相似性和社会距离呈显著负相关关系; (3)同样在需要“相同兴趣”特质的社交网络中, 个体间部分功能连接相似性与社会距离呈显著负相关关系, 这些功能连接主要集中在额顶控制网络以及背侧注意网络; 同时, 部分节点功能连接相似性与社会距离呈显著正相关关系, 这些功能连接主要集中在默认网络。研究结果揭示了人格特质对不同社交网络结构的影响, 以及个体间人格特质相似性和静息态脑网络相似性与社会距离的关系。本研究对理解社交网络的结构, 形成规律以及其中的信息传播规律有着重要启示意义。     

Entitativity and social identity complexity: The relationship between group characteristics and personal characteristics on group identification

The current study extends previous works on group identification by focusing on how social identity complexity and entitativity interact to impact group identification. The purpose of the current study is to test the hypothesis that people with a simple social identity identify more strongly with a highly entitative group and people with complex social identity identify more strongly with a group low in entitativity. Participants’ social identity complexity and entitativity about a group were manipulated, and with that group was measured. Results demonstrated that participants primed with a simple social identity identified more strongly with a more highly entitative group, whereas identification with the high and low entitativity groups did not differ for participants primed with a complex social identity.     

We are one and I like it: The impact of ingroup entitativity on ingroup identification

It is argued that the entitativity of the ingroup moderates the level of identification with the ingroup. Specifically, that high levels of entitativity are conducive to strong identification, whereas low levels of entitativity reduce identification with the ingroup. These hypotheses were tested across four studies using the European Union (EU) as the reference group. The four studies manipulated four different factors that, according to Campbell (1958), impact on group entitativity: common fate (Study 1), similarity (Study 2), salience (Study 3), and boundedness (Study 4). Across the four studies, we found evidence for the impact of these factors on the level of identification with the EU among European citizens holding moderate attitudes toward the EU but not (or much less) for citizens holding more extreme attitudes towards the EU. Mediational analyses further confirmed the viability of an entitativity‐based interpretation of the impact of the manipulations on the level of identification. The findings are discussed in light of the current debate on the concept of entitativity, the motives for social identification, and the reduction of ingroup bias. Copyright © 2003 John Wiley & Sons, Ltd.     

社会群体的实体性:回顾与展望

社会群体的实体性是指群体被知觉为一个真正独立存在的有意义实体的程度.它受到知觉者、社会情境和文化等因素的影响.实体性在群际关系中具有重要意义,它影响着认同、刻板印象,偏见和群际冲突.实体性从本质上来说并不是绝对积极的或消极的群体特征,它主要取决于知觉者与群体的关系性质和其所处的情境.对中国研究者而言,如何让实体性最大可能地发挥积极作用,以利于群体关系的和谐是未来研究应该努力的方向;加强中国文化背景下实体性与群际关系的研究,为解决中国各社会阶层以及不同群体之间的和谐相处提供理论上的指导也是未来可以关注的方向.     

Birds of a feather and birds flocking together: physical versus behavioral cues may lead to trait- versus goal-based group perception

Entitativity perception refers to the perception of a collection of individuals as a group. The authors propose 2 perceptual-inferential bases of entitativity perception. First, perceivers would expect a collection of individuals with similar physical traits to possess common psychological traits. Second, perceivers watching a group of individuals engage in concerted behavior would infer that these individuals have common goals. Thus, both similarity in physical traits (e.g., same skin color) and concerted collective behavior (e.g., same movement) would evoke perception of group entitativity. Results from 5 experiments show that same group movement invariably leads to common goal inferences, increased perceived cohesiveness, and increased perceived entitativity. Moreover, same skin color evokes inferences of group traits and increases perceived homogeneity and perceived entitativity but only when skin color is diagnostic of group membership.     

Network Connectivity Dynamics,Cognitive Biases,and the Evolution of Cultural Diversity in Round-Robin Interactive Micro-Societies

The distribution of cultural variants in a population is shaped by both neutral evolutionary dynamics and by selection pressures. The temporal dynamics of social network connectivity, that is, the order in which individuals in a population interact with each other, has been largely unexplored. In this paper, we investigate how, in a fully connected social network, connectivity dynamics, alone and in interaction with different cognitive biases, affect the evolution of cultural variants. Using agent-based computer simulations, we manipulate population connectivity dynamics (early, mid, and late full-population connectivity); content bias, or a preference for high-quality variants; coordination bias, or whether agents tend to use self-produced variants (egocentric bias), or to switch to variants observed in others (allocentric bias); and memory size, or the number of items that agents can store in their memory. We show that connectivity dynamics affect the time-course of variant spread, with lower connectivity slowing down convergence of the population onto a single cultural variant. We also show that, compared to a neutral evolutionary model, content bias accelerates convergence and amplifies the effects of connectivity dynamics, while larger memory size and coordination bias, especially egocentric bias, slow down convergence. Furthermore, connectivity dynamics affect the frequency of high-quality variants (adaptiveness), with late connectivity populations showing bursts of rapid change in adaptiveness followed by periods of relatively slower change, and early connectivity populations following a single-peak evolutionary dynamic. We evaluate our simulations against existing data collected from previous experiments and show how our model reproduces the empirical patterns of convergence.     

Why do we punish groups? High entitativity promotes moral suspicion

People typically take a moral deservingness perspective when deciding on appropriate punishment for intentional wrongdoings committed by individuals. Considerably less is known about how people reason about wrongdoings committed by groups, even though there are fundamental differences in how people perceive individuals versus groups. The present research examined perceived entitativity, the degree to which a group is perceived to be a unified, single agent, as a potential determinant of moral reasoning about transgressions committed by groups. We found that participants recommended more severe punishments for high entitativity (vs. low entitativity) perpetrator groups, particularly in the presence of morally mitigating circumstances that typically lessen punitiveness. This effect was mediated by perceptions of greater moral accountability in high-entitativity groups. Thus, justice is not equal for all groups. Implications for retributive justice and the criminal justice system are discussed.     

The induction of shared identity: the positive role of individual distinctiveness for groups

This article examines inductive processes of social identity formation, the bottom-up processes by which individual group members influence a social identity, integrating it with work on entitativity. Three studies tested the prediction that feelings of individual distinctiveness mediate the relation between inductive social identity formation and entitativity and that entitativity in turn predicts identification. The studies provided consistent support for this theoretical model over alternative models, using a range of different social groups and methods. Study 1 found support for the model in self-selected small groups. Study 2 supported it with a much broader set of groups that were not self-selected. Finally, Study 3 varied levels of inductive social identity formation systematically by varying group size and provided direct support for the hypothesized causal relations.     

Movement synchrony and perceived entitativity

Movement synchrony has been theoretically linked to the emergence of a social unit. To empirically investigate whether similar movement rhythms are an antecedent of perceived entitativity, movement rhythms were experimentally manipulated in four studies. Using this novel approach, stick figures waving in synchrony were found to be rated higher on entitativity than stick figures waving in different rhythms (Study 1), and this effect was extended to interactional synchrony, where different movements are performed in the same rhythm (Study 2). Objective differences in movement rhythms are linearly related to ratings of perceived entitativity, and this relationship is partially mediated by the subjectively perceived similarity of movement rhythms (Study 3). These results also held for entitativity judgments for videotaped individuals waving rhythmically (Study 4). These results support the hypothesis that movement rhythms are an important source of information which observers use to infer the extent to which individuals are a social unit.     

Us without them: evidence for an intragroup origin of positive in-group regard

Four experiments examined whether group formation and positive in-group regard require interaggregate comparison as the in-group-requires-an-out-group assumption of the metacontrast principle implies. The authors fostered novel social aggregates with or without a contrasting aggregate with which members could compare and varied intra-aggregate factors (interaction or interdependence). Regardless of whether interaggregate comparison was feasible, the intra-aggregate factors increased the perceived entitativity of the aggregate and positive regard toward the aggregate (i.e., social attraction and cooperation among members). Mediation analyses were consistent with the possibility that the intra-aggregate factors promoted entitativity, which in turn promoted in-group regard. These data suggest that group formation and in-group regard have intragroup origins and do not require comparison with a contrasting social aggregate.     

Antecedents of entitativity in categorically and dynamically construed groups

The extent to which a set of people is perceived as a meaningful group, as one entity, is called entitativity. In this paper, we propose that there are two qualitatively different group construals, or ways of thinking, about groups: as dynamic groups or as categorical groups. Two experiments investigated this distinction. An analogy was used to induce these construals by having participants think of the same group (the group “bees”) either dynamically (as the interacting members of a hive) or categorically (as the members of the species). We then gave participants information about a social group and assessed the impact of the construal manipulation on how that information was processed. Study 1 showed that perceivers recall and report different perceptual cues (similarity and interaction characteristics, respectively) when groups are thought of in these different ways. Study 2 showed that judgments of entitativity are differentially based on a group's similarity versus interaction under these different group construals. The results suggest that group construals change the properties on which entitativity is based. Copyright © 2008 John Wiley & Sons, Ltd.     

Adaptive rewiring in weighted networks

Human connectome studies suggest that the brain has a modular small world network structure with rich-club effect. Such structure emerges spontaneously in simple model neural networks, (e.g. coupled maps), through adaptive rewiring according to the dynamic functional connectivity. The utility of adaptive rewiring has so far exclusively been demonstrated for unweighted networks; it is anything but guaranteed to work as well for weighted networks. We investigate adaptive rewiring in weighted networks, comparing various right-skewed, symmetrical, and left-skewed fixed weight distributions. We examine how network clustering, path length, modularity, and rich club coefficients develop for weakly, intermediate and strongly coupled networks. At low coupling strength, the weight distribution, as well as episodes of functional synchrony, have a significant effect on network evolution. With increased coupling strengths, all weighted networks robustly develop architectures similar to the unweighted ones. Adaptive rewiring appears relatively ineffective in networks with (biologically implausibly) extreme right-skewed weight distributions but performed most economically in biologically plausible log-normal distributions.     

Propagation of innovations in networked groups

A novel paradigm was developed to study the behavior of groups of networked people searching a problem space. The authors examined how different network structures affect the propagation of information in laboratory-created groups. Participants made numerical guesses and received scores that were also made available to their neighbors in the network. The networks were compared on speed of discovery and convergence on the optimal solution. One experiment showed that individuals within a group tend to converge on similar solutions even when there is an equally valid alternative solution. Two additional studies demonstrated that the optimal network structure depends on the problem space being explored, with networks that incorporate spatially based cliques having an advantage for problems that benefit from broad exploration, and networks with greater long-range connectivity having an advantage for problems requiring less exploration. (PsycINFO Database Record (c) 2008 APA, all rights reserved).     

Optimization of Social Structure in Business Networks by Grid-Technique and Polyhedral Analysis

This article deals with the definition and analysis of the social, communicative, and cognitive abilities of managers acting in network contexts. We can tackle the complex relationship of role demands and role adoption by applying grid-technique and polyhedral analysis. We can gather data on context-specific personal constructs with the help of the grid technique. Using these data, polyhedral analysis shows how defined persons are integrated into the relation structures within a network. Beyond this, we show if and how relevant criteria such as holes, connectivity, and eccentricity can be employed for analyzing problems stemming from personnel management. Based upon the applied methods, it is possible to provide information about the relevant structures within networks used in personnel selection and competency development. Decision makers have the task to select among the measures of personnel management. Within the relevant context, these measures should be suited to ensure the stability and efficiency of the network.     

Self‐monitoring,status, and justice‐related information flow

We develop and test a multi‐level interactive model of the relationships among self‐monitoring, co‐workers' formal and informal status, and justice‐related information flow in a scenario‐based field study of 4,011 unique relationships collected from 84 respondents. We predict that individuals high in self‐monitoring, because they attend more carefully to social cues and have higher levels of expressive control, will be more likely than low self‐monitors to intend to seek, accept, and provide justice‐related information as a function of their co‐workers' formal status, the size of their co‐workers' networks, and the advantageousness of their co‐workers' position in the networks (betweenness centrality). This cross‐level interaction hypothesis receives strong support in terms of co‐workers' network size, limited support in terms of co‐workers' betweenness centrality, and no support in terms of co‐workers' formal status. We address the implications of these findings for the literature on self‐monitoring, social construction of organizational justice, and social networks, as well as the strengths and limitations of our approach.     

Communication and Structured Correlation

Philosophers and social scientists have recently turned to Lewis sender–receiver games to provide an account of how lexical terms can acquire meaning through an evolutionary process. However, the evolution of meaning is contingent on both the particular sender–receiver game played and the choice of evolutionary dynamic. In this paper I explore some differences between models that presume an infinitely large and randomly mixed population and models in which a finite number of agents communicate with their neighbors in a social network. My results show that communication with neighbors is more conducive to the evolution of meaning than communication with strangers. Additionally, I show that the behavior of the system is highly dependent on the topological structure of the social network. I argue that a specific class of networks—small world graphs—is especially conducive to the evolution of meaning. This is because small world graphs have a short characteristic path length while still maintaining a high degree of correlation between neighbors. Since many actual social networks, such as friendship networks and nervous systems, are conjectured to be small world structures, these results indicate that these networks are quite hospitable to the efficient evolution of meaning.