Different types of contact, including contact between node pairs, any-contact of nodes, and contacts of the entire network, are used to characterize Social relations in mobile Social Networks. Different modes of routing, from the point of view of message delivery semantics, encompass unicasting, multicasting, any-casting, and broadcasting. Studies have shown that using probability distribution functions of contact data, which is mainly assumed to be homogeneous for nodes, improves the performance of these Networks. However, there exists an important challenge in studies on distributions. A lot of works apply the distribution of one type of contact to other types. Hence in routing applications, it causes to use of the distribution of one type of contact for any mode of routing. This study provides a complete solution to model each type of homogeneous contact data distribution and to use them in different modes of routing. We propose a routing algorithm that uses this new model. Results show that our solution improves the average latency of comparing methods Epidemic, TCCB, and DR about 3.5-times, 30%, and 45%, respectively. It achieves a delivery rate of about 5% and 6%, and average latency about 6% and 8% better than that of DR and TCCB, respectively.

Introduction: Social Networks are referred to databases whose primary goals are to set up and serve, establish communication and Social interactions through their Networks, share their interests and experiences. Social network users, through their activity in these Networks, encounter a variety of information in different formats and contents (Jenkin, 2010). Basically, tourists need information about the destinations to choose their destination. They constantly collect information from the mass media, including TV, satellite, and internet. Tourists prefer to receive a significant portion of their information from sources, including relatives, friends, acquaintances, and others (Suvrey et al., 2014). . . .

The behavioral response of users to advertise plays a significant role in consumer buying behaviors. An effective way to gain users 'positive perceptions of Advertising is Social bonds that can facilitate in-group communications and users' positive response to ads by employing an accurate communication system in an online group. Accordingly, the present study examines the effect of Social links on consumer responses to advertisements in Social Networks. The present research is practical and the aim of collecting data, descriptive-survey. The statistical population of the study consisted of all individuals who are members of service and production companies that provide products or services on the Social networking sach as telegram or instagram. Data were obtained by simple random sampling in a sample of 303 members of groups using questionnaire tools and were tested by structural equation modeling. The results indicate that Social bonds with impact, Support for communication, Recognition for contribution and participation are an effective factor for increasing consumers participation in online groups businesses through Social bonds can influence the Perceived Ad relevance and Perceived Ad Values of the consumers towards Advertising. When consumers perceive ads to be useful, valuable and relevant to the product or service, they pay attention, they click on the ad and are more likely to view the likes and comments of other members of the group, thereby they will feel a positive sense about the ad and want to buy them. A user's positive response reflects a user's personal support for what is in that ad. This way the user will be more interested in the product or service, Advertising this network and when the time comes to buy, it is very likely that the user will prefer that brand to other brands.

Purpose: Technologies in general and media in particular influence their audience through their form and content. There are many studies about the role and effect of classic media on Values change; however, few studies have explored new emergent media such as Social Networks. The aim of this descriptive-survey research is to investigate how time spent on Social network and Social network addiction is related to Value system of students. Methodology: Statistical population consisted of all students studying at higher education institutes in Bojnord during 2015-16 academic years. A sample of 229 students was selected using clusterrandom sampling. Data was analyzed using SPSS 19 software. Findings: Findings revealed a negative significant relationship between the use of Social network and Social network addiction on the one hand, and the Value system of students on the other hand. This finding held true for religious, cultural, political and Social components of the Value system, except for economic component. Discussion: According to these findings, higher education should pay greater attention to promoting media literacy of students.

Todays, competition is so high in which the companies don't withdraw even from less amounts investments. In the situation, Advertising is one way of strengthening competitive Power. According to importance of Advertising in this competitive market, we will face this question that if we put the expenditures on Advertising will it be right to put it in financial expenses, will it have any influences on market Value of the company? This research investigates the relationship between Advertising expenditure and market Value. For examine research's presumption, we use information of financial statements corporation expected in Tehran stock exchange for period 1381 to 1385. The results have shown that a meaningful positive relation exists between Advertising expenditures and market Value. Therefore can suggested Advertising expenditures disclosure one of intangible assets.

The aim of this study was to determine the effectiveness of Advertising through sport in Social Networks (case study: Instagram). The present study was descriptive-correlation. The statistical population of the study included Iranian users of Instagram sport pages, and users of these pages: posterfootball, posterfutball, chejazab, akhbare_perspolis, science. base. fit and faculty. of. sport. sciences were selected as the sample by convenience sampling method. 260 questionnaires were used for statistical analysis. To collect the data, Taylor, Levin and Strutton (2011) questionnaire was used. The content and content validity of the questionnaire were approved by 8 experts after a three-step process of translation. Confirmatory factor analysis was used to determine the construct validity of this questionnaire. The reliability of the questionnaire was obtained using Cronbach's alpha and composite reliability coefficient was favorable. The data were analyzed using Smart PLS software. Descriptive and inferential statistics were used to analyze the data. This study included eight independent factors: entertainment, informativeness, peer influence, self-brand congruity, invasiveness, privacy concern, quality of life, structured time. The results of the test showed that among these factors, the first 5 ones influenced the dependent factor (attitude towards Social network ads). The self-brand congruity factor (0. 350) had the most effect on the attitude toward Advertising through sport. It is believed that sport has continued to attract the attention of various businesses as an influential medium.

Communities in Social Networks form with different purposes and play a significant role in interpersonal interactions. Analysis of virtual communities indicates a more precise understanding of the behaviours and desires of individuals in Social Networks. In this paper, new measures have been proposed for analyzing implicit and explicit communities in Online Social Networks (OSNs). The measures of “potential Value of the community members” and “Value of the community messages”, which are used for calculating the measure of “community Value” are among the most important measures introduced in this paper. Another measure introduced is “user influence rate” in a community, which represents the contribution of a person in creating Value in a community. To provide a sound dataset, we collected the information from several real implicit communities in Twitter based on different hashtags. Finally, the suggested measures have been analyzed and compared statistically and behaviourally across different communities. The results of this research well indicate the importance and practicality of the measures introduced in Community analysis of Twitter.

As a result of the increasing popularity of Social networking websites like Facebook and Twitter, analysis of the structure of these Networks has received significant attention. The most important part of these analyses is towards detecting communities. The aforementioned structures are usually known with extremely high inter-connections versus few intra-connections in the graphs. In this paper, in spite of most approaches being optimization based, we have addressed the community detection problem (CDP) by a novel framework based on Information Diffusion Model and Shapley Value Concept. Here, each node of the underlying graph is attributed to a rational agent trying to maximize its Shapley Value in the form of information it receives. Nash equilibrium of the game corresponds to the community structure of the graph. Compared with the other methods, our approach demonstrates promising results on the well-known real world and synthetic graphs.

AbstractThe purpose of this research is to provide a development model for the effectiveness of persuasive Advertising in Social Networks. The research method is applicable in terms of its purpose and qualitative in terms of implementation. The statistical population of the research includes 15 experts, university professors, and managers and specialists in the field of marketing; selected through the maximum diversity sampling method. A semi-structured interview was used to collect information. Data-based and coding method was used for data analysis. In open coding, the researcher found 146 concepts, which were classified into 31 categories. Persuasive Advertising in Social Networks can have significant effects on the behavior and attitude of consumers. These effects include changes in consumer behavior, intensification of competition, formation of Values ​​and beliefs, influence on decision making, change in Social behavior, influence on brand trust, change in brand attitude, and influence on Social Networks. However, these effects depend on various factors such as technological changes, Social and cultural changes, economic changes, legal and political changes, changes in competition, and changes in the content and format of advertisements. As a result, to increase the effectiveness of persuasive Advertising in Social Networks, it is recommended to pay special attention to these factors.Extended Abstract                                           IntroductionOne of the most important and biggest changes occurred in the field of human life is the emergence of virtual Social Networks on the Internet. Almost all thinkers share the same opinion that Social media has changed and influenced the lifestyle and human life, although there are different views about the nature, intensity and type of these effects (Keshvariyan et al, 2019). The majority of marketing managers believe that virtual Social media are primarily used for "brand building and brand awareness" activities, and evidence from academic studies suggests that effective use of Social media helps improving brand awareness and brand image, and ultimately the awareness of the product and services and even improvement of the financial performance of the brands (Godey et al, 2016). The ultimate goal of Advertising is to convince consumers to change their attitude towards the advertised product or service. Previous studies in the field of Advertising showed that attitude towards Advertising affects brand attitude and purchase intention through a hierarchy of effects. Therefore, attitude is an important factor that can predict the effectiveness of Advertising. In general, attitudes are mental states by which people understand their environment and react to it (Eisend, 2021). Preliminary investigations show that many Advertising companies that produce content on Instagram still use old models for measuring the effectiveness of their ads, such as the Aida and Dagmar models. Meanwhile, the Instagram environment is very different compared to traditional media, and this difference leads to differentiation in measuring the effectiveness of Advertising (Abdulhosseini et al, 2019). Finally, this research also answers the main question: How to provide a development model for the effectiveness of persuasive Advertising in Social Networks?Theoretical FrameworkAdvertisementsAdvertising is the release of information utilized to promote products to consumers. Based on the distribution channels, advertisements are classified into offline and online advertisements. Offline Advertising is non-internet-based Advertising, including television, radio, and print Advertising. While online Advertising uses the Internet to disseminate product information, such as online display Advertising, search Advertising, and email Advertising. Advertising has many economic benefits, including increased product sales, increased firm performance and Value, and improved market efficiency, which have received considerable research attention (Bayer et al, 2020).Social NetworksSocial Networks are a new generation of sites and bases that operate on the Internet and by using a search engine and adding features such as chat, electronic messaging, image and sound transmission, bring together a group of Internet users with special characteristics and provide the possibility of more communication of users in the form of a network of individual and group relationships and finally, these users can share content (share and express their interests, thoughts and activities) with others users (Jaffali, 2019).Saghafian et al, (2024) investigated the presentation of the model of customer participation with brands in Social Networks with emphasis on cultural differences. The results of the quantitative section show that the dimensions and components of customer engagement with brands have an impact on Social Networks with an emphasis on cultural differences. Also, the results show a strong and very good fit of the model.Torki et al, (2023) investigated the impact of Social media participation on green management (case study of employees of Shahrekord industrial companies). The results showed that the amount of use of Social media, the type of use of Social media, and the amount of trust in users in Social media have a positive effect on green management. This means that the Internet has become an inseparable part of life because of people's easy access to virtual space and Social Networks. In order to make optimal use of the created space, companies are trying to use this opportunity optimally and to their advantage and improve the green management.Motiei (2023) examined the presentation of a model for Advertising persuasion strategy with nationalism approach in national media. In the current research, a paradigm model is presented, the main focus of which is persuading the national media in order to promote national production. Based on the obtained results, "national and organizational consensus", "geographical requirements" and "economic growth" are three important features of supporting domestic production, which were realized if supported by institutions including the Broadcasting Organization. In this research, the paradigm model of persuasion of commercial advertisements was formulated with the approach of promoting national production and specifically, in the national media. The research model consists of 10 main categories, the main axis of which is the persuasion of the national media in order to promote national production. In this model, the causal conditions include four categories of assistance to the domestic economy, geographical requirements, national and organizational consensus. Also, three strategies were chosen to achieve the goal of the research, which are: economic efficiency, management tactics, and security.Research methodologyThe research method is applicable in terms of its purpose and qualitative in terms of implementation. The statistical population of the research includes 15 experts, university professors, and managers and specialists in the field of marketing; selected through the maximum diversity sampling method. A semi-structured interview was used to collect information. Research findingsData-based and coding method was used for data analysis. In open coding, the researcher found 146 concepts, which were classified into 31 categories. Persuasive Advertising in Social Networks can have significant effects on the behavior and attitude of consumers. These effects include changes in consumer behavior, intensification of competition, formation of Values ​​and beliefs, influence on decision making, change in Social behavior, influence on brand trust, change in brand attitude, and influence on Social Networks. However, these effects depend on various factors such as technological changes, Social and cultural changes, economic changes, legal and political changes, changes in competition, and changes in the content and format of advertisements. As a result, to increase the effectiveness of persuasive Advertising in Social Networks, it is recommended to pay special attention to these factors.ConclusionThe current research was conducted with the aim of providing a development model for the effectiveness of persuasive Advertising in Social Networks. The results of this research are in agreement with the results of Saghafian et al, (2024), Torki et al, (2023), Motiei (2023), Ghiasian et al, (2021), Ahadi & Ghasemi (2020), Balazadeh (2020), Abdulhosseini et al, (2019), Haque Beg et al, (2019), and Gordon et al, (2019). Abdulhosseini et al, (2019) showed that to measure the effectiveness of Advertising on Instagram, it is possible to emphasize four dimensions, including dimensions related to Advertising, dimensions related to psycho-biological effects, dimensions related to the brand, and dimensions related to the media. Each of these dimensions includes different components that researchers have confirmed the relationship between them and the effectiveness of Advertising on Instagram.According to the results of the research, the following suggestions are presented:Clothing companies such as Hakobian, LC Man, Maxim, and Ikat can use persuasive techniques such as "Social validation" or "reason seeking" in their Social media Advertising. One of the implementation ways is that these companies can share pictures or videos of real customers wearing the clothes of these brands on their Social Networks. This not only creates "Social validation", but also gives customers a sense of confidence that others are also satisfied with these brands' products. In this way, companies can benefit from the principles of persuasion to increase the effectiveness of their advertisements in Social Networks.