Social Network Information Propagation Model Based on Individual Behavior

In this paper, we discuss building an information dissemination model based on individual behavior. We analyze the individual behavior related to information dissemination and the factors that affect the sharing behavior of individuals, and we define and quantify these factors. We consider these factors as characteristic attributes and use a Bayesian classifier to classify individuals. Considering the forwarding delay characteristics of information dissemination, we present a random time generation method that simulates the delay of information dissemination. Given time and other constraints, a user might not look at all the information that his/her friends published. Therefore, this paper proposes an algorithm to predict information visibility, i.e., it estimates the probability that an individual will see the information. Based on the classification of individual behavior and combined with our random time generation and information visibility prediction method, we propose an information dissemination model based on individual behavior. The model can be used to predict the scale and speed of information propagation. We use data sets from Sina Weibo to validate and analyze the prediction methods of the individual behavior and information dissemination model based on individual behavior. A previously proposedinformation dissemination model provides the foundation for a subsequent study on the evolution of the network and social network analysis. Predicting the scale and speed of information dissemination can also be used for public opinion monitoring.

Lewin Behavior Model-Based Study on Influence Factors of Individuals to Mobile Service Demand

How to fmd main influence factors of individuals to mobile service demand is investiga- ted. The empirical research is conducted in the sample of high-value customers in China mobile market. Based on Lewin behavior model, this pa- per establishes factors-matrix from personal and environmental dimensions. Relationships among multiple factors are tested in the structural equa- tion model and their impacts on customers＇ de- mands are elaborated. Findings indicate that opera- tional convenience and business brand image have significant effects on sample users＇ demands. Fur- thermore, annual income, gender, occupation, the needs of access to information and the needs of enriching and improving social relationships are al- so important factors for high-value users. The re- suits may provide further insights into mobile service demand and the model can be popularized to other behavior researches.

How does an individual’s default behavior on an online peer-to-peer lending platform influence an observer’s default intention?

Previous studies indicate that individuals’default behaviors on online peer-to-peer(P2P)lending platforms greatly influence other borrowers’default intentions.However,the mechanism of this impact is not clear.Moreover,there is scarce research in regard to which factors influence the relationship between an individual’s default behavior and an observer’s default intention.These important questions are yet to be resolved;hence,we conducted two experiments using the scenario-based research method,focusing on Chinese online P2P lending platforms.Our results indicate that an individual’s default behavior can trigger an observer’s default intention as a result of the imperfect punitive measures as they currently exist on Chinese online P2P lending platforms.Both the observer’s moral disengagement level and pragmatic self-activation level serve as mediating variables.In situations where an observer knows an individual’s default behavior,the level of intimacy between the defaulter and observer positively affects the relationship between their default behavior and intention.The intimacy level also positively influences the relationship between the individual’s default behavior and the two mediator variables.Based on the findings,we provide management suggestions in the context of online P2P lending.Our study sets a foundation for future research to utilize other methods to extend the present research findings to other regions and domains.

Analysis of the method on industrial design guided by individual spontaneous behavior

There is a close relationship between individual spontaneous behavior and Industrial design. As individual spontaneous behavior can sent especial meaning for industrial design, there is a great necessity for creating design guided by this behavior. The design method carries out in four steps, first step is to focus on the analysis of individual action phase, pay attention to the explora- tion of the relationship between actions and tool ,and then list the importance order in the action phase, the third step is to take out the in-depth anatomical analysis of the stage, analyze the reason of the operational difficulty .and at last carries out the design concept to resolve the problem. All in all, this method revolves around the main stage of spontaneous behavior, and analyzes it in interim and solves the problem in stage.

Modelling of Active and Latent Attributes Based on Traveler Perspectives: Case of Port City of Douala

A growing stream of study stresses the relevance of subjective elements in understanding the hierarchy of preferences that underpin individual travel behavior. The purpose of this study is to evaluate the impact of various factors on mode choice. To achieve this, a multinomial logit model (MNL) was used to analyze the relationships between mode choice and three classes of attributes;Combined Active and Latent, Active only and Latent only attributes. The data used are derived from surveys in the port city of Douala, Cameroon as a case study. Results stipulated that, the combined attributes model performed better than both active only attributes and latent only attributes models. Likewise, latent only attributes model performed better than active only attributes model. The advantage of modelling all three groups is for better selection of the most relevant attributes, and this is very relevant in understanding travel behavior of individuals and mode choice decisions.

An ethogram of Spot-billed Pelican(Pelecanus philippensis)

The Spot-billed Pelican(Pelecanus philippensis),a near threatened bird and one of eight pelican species in the world,can be found only in South and Southeast Asia over an area between 129000 and 181000 km 2 with strongholds in India,Sri Lanka,southern Cambodia and coastal areas of Sumatra.In India,it is presently distributed in southern and northeastern India with concentrations in Andhra Pradesh,Tamil Nadu,Karnataka and Assam states.An ethogram of the Spot-billed Pelican was presented and as many as 25 individual behaviors grouped under nine different categories were described:resting,alert,comfort/maintenance,locomotion,foraging,antagonistic,sexual,chick care and foraging,and vocalizations.Descriptions of behaviors of the Spot-billed Pelican in this paper would be immensely useful while preparing conservation and management plan for the species present both in the captive and wild condition.

Evaluation of nesting behavior of individual laying hens in an enriched colony housing by using RFID technology

The US egg industry is progressively adopting alternative housing systems for laying hens.Provision of nesting places accommodates natural behaviors and may improve the welfare of the laying hen.However,some fundamental questions remain about nesting behaviors of hens under different housing conditions,which would impact system design and management.For instance,how long does a hen use nest per day for egg laying or nest exploration?How many hens nest simultaneously?In such schemes,information on hens’behavioral and production responses of hens remains relatively sparse.The primary objective of this work was to demonstrate that RFID technology can be used to continuously quantify dynamic nesting behaviors of individual laying hens in a 60-hen enriched colony housing(ECH).Results show that hens spent on average 63.7±1.4 min(mean±SE)in the nest box and made 23.4±0.7 nest visits during a 16 h daily light period.Time spent in and visits to the nest box during the 6 h laying period accounted for 56% and 45% of the light-period value,respectively.Maximum nest occupancy was 29.0%±0.4%.Three distinct phases of egg production in nest boxes were observed:initial(1.5 h),peak(3.2 h,egg laying rate of 0.24±0.01 eggs/min),and late(1.3 h).The majority(95.1%±0.6%)of the daily eggs were laid in the nest box.Considerable variations in nesting behavior among individual hens and day-to-day variations for a given hen were observed.The RFID system will enable researchers to examine the impacts of resource allocations on nesting behaviors of laying hens in alternative hen housing.

Elusive workers are more likely to differentiate into replacement reproductives than aggressive workers in a lower termite

One of the most intriguing questions in eusocial insects is to understand how the overt reproductive conflict in the colony appears limited when queens or kings are senescent or lost because the morphologically similar individuals in the colony are reproductively totipotent.Whether there are some individuals who preferentially differentiate into replacement reproductives or not has received little attention.The consistent individual behavioral differences(also termed“animal personality”)of individuals from the colony can shape cunningly their task and consequently affect the colony fitness but have been rarely investigated in eusocial insects.Here,we used the termite Reticulitermes labralis to investigate if variations in individual personalities(elusiveness and aggressiveness)may predict which individuals will perform reproductive differentiation within colonies.We observed that when we separately reared elusive and aggressive workers,elusive workers differentiate into reproductives significantly earlier than aggressive workers.When we reared them together in the proportions 12:3,10:5,and 8:7(aggressive workers:elusive workers),the first reproductives mostly differentiated from the elusive workers,and the reproductives differentiated from the elusive workers significantly earlier than from aggressive workers.Furthermore,we found that the number of workers participating in reproductive differentiation was significantly lower in the groups of both types of workers than in groups containing only elusive workers.Our results demonstrate that the elusiveness trait was a strong predictor of workers’differentiation into replacement reproductives in R.labralis.Moreover,our results suggest that individual personalities within the insect society could play a key role in resolving the overt reproductive conflict.