Laws Php 5 Social Networking Ebook


Sunday, June 30, 2019

Editorial Reviews. About the Author. Michael Peacock. Michael Peacock is a web developer PHP 5 Social Networking - Kindle edition by Michael Peacock. Read "PHP 5 Social Networking" by Michael Peacock available from Rakuten Kobo. Sign up today and get $5 off your first purchase. This book is a fast-paced. Read "PHP 5 Social Networking" by Michael Peacock available from Rakuten Kobo. Sign up today, get NT$ off your first purchase and Rakuten Super .

Php 5 Social Networking Ebook

Language:English, Spanish, Indonesian
Country:Ivory Coast
Published (Last):27.12.2015
ePub File Size:27.41 MB
PDF File Size:17.10 MB
Distribution:Free* [*Regsitration Required]
Uploaded by: ORETHA

PHP 5 Social Networking. October pages. 13 hours 40 minutes. Create a powerful and dynamic Social Networking website in PHP. Similar Free eBooks. Filter by page count, Pages, Pages, Pages, + Pages. Core PHP Programming Using PHP to Build Dynamic Web Sites PHP 5 Social Networking: Create a powerful and dynamic social networking. 6 days ago Popular ebook you want to read is Php 5 Social Networking Michael Peacock. We are promise you will like the Php 5 Social Networking.

SNS use is also driven by a number of other motivations.

From a uses and gratifications perspective, these include information seeking i. According to this theory, social networking meets the needs of safety, association, estimation, and self-realization [ 42 ]. Safety needs are met by social networking being customizable with regards to privacy, allowing the users to control who to share information with.

PHP Tutorial PDF For Beginners

Accordingly, social networking taps into very fundamental human needs by offering the possibilities of social support and self-expression [ 42 ]. The next section considers this question. Individuals Can Become Addicted to Using Social Networking Sites There is a growing scientific evidence base to suggest excessive SNS use may lead to symptoms traditionally associated with substance-related addictions [ 3 , 44 ]. These symptoms have been described as salience, mood modification, tolerance, withdrawal, relapse, and conflict with regards to behavioral addictions [ 45 ], and have been validated in the context of the Internet addiction components model [ 46 ].

For a small minority of individuals, their use of social networking sites may become the single most important activity that they engage in, leading to a preoccupation with SNS use salience. The activities on these sites are then being used in order to induce mood alterations, pleasurable feelings or a numbing effect mood modification. Increased amounts of time and energy are required to be put into engaging with SNS activities in order to achieve the same feelings and state of mind that occurred in the initial phases of usage tolerance.

When SNS use is discontinued, addicted individuals will experience negative psychological and sometimes physiological symptoms withdrawal , often leading to a reinstatement of the problematic behavior relapse. Problems arise as a consequence of the engagement in the problematic behavior, leading to intrapsychic conflicts within the individual often including a subjective loss of control and interpersonal conflicts i.

On the one hand, current behavioral addiction research tends to be correlational and confirmatory in nature and is often based on population studies rather than clinical samples in which psychological impairments are observed [ 47 ].


Additional methodological problems are outlined below Section 2. On the other hand, in the present paper, the present authors do not discriminate between the label addiction, compulsion, problematic SNS use, or other similar labels used because these terms are being used interchangeably by authors in the field.

The question then arises as what it is that individuals become addicted to. Is it the technology or is it more what the technology allows them to do? It has been argued previously [ 34 , 50 ] that the technology is but a medium or a tool that allows individuals to engage in particular behaviors, such as social networking and gaming, rather than being addictive per se. There are a numbers of models which offer explanations as to the development of SNS addiction [ 51 ].

According to the cognitive-behavioral model, excessive social networking is the consequence of maladaptive cognitions and is exacerbated through a number of external issues, resulting in addictive use. The social skill model suggests individuals use SNSs excessively as a consequence of low self-presentation skills and preference for online social interaction over face-to-face communication, resulting in addictive SNS use [ 51 ].

With respect to the socio-cognitive model, excessive social networking develops as a consequence of positive outcome expectations, Internet self-efficacy, and limited Internet self-regulation, leading to addictive SNS use [ 51 ]. It has furthermore been suggested that SNS use may become problematic when individuals use it in order to cope with everyday problems and stressors, including loneliness and depression [ 52 ].

Moreover, it has been contended that excessive SNS users find it difficult to communicate face-to-face, and social media use offers a variety of immediate rewards, such as self-efficacy and satisfaction, resulting in continued and increased use, with the consequence of exacerbating problems, including neglecting offline relationships, and problems in professional contexts.

The resultant depressed moods are then dealt with by continued engagement in SNSs, leading to a vicious cycle of addiction [ 53 ]. Cross-cultural research including 10, adolescents from six European countries Greece, Spain, Poland, the Netherlands, Romania, and Iceland furthermore showed that using SNS for two or more hours a day was related to internalizing problems and decreased academic performance and activity [ 54 ].

In addition, a study using a sample of secondary school students in China indicated neuroticism and extraversion predicted SNS addiction, clearly differentiating individuals who experience problems as a consequence of their excessive SNS use from those individuals who used games or the Internet in general excessively [ 55 ], further contributing to the contention that SNS addiction appears to be a behavioral problem separate from the more commonly researched gaming addiction.

However, recent research suggests individuals may develop addiction-related problems as a consequence of using other SNSs, such as Instagram [ 66 ].

It has been claimed that users may experience gratification through sharing photos on Instagram, similar to the gratification they experience when using Facebook, suggesting that the motivation to share photos can be explained by uses and gratifications theory [ 66 , 67 ].

This may also be the reason for why individuals have been found to be less likely to experience addiction-related symptoms when using Twitter in contrast to Instagram [ 66 ]. In addition to the gratification received through photo sharing, these websites also allow to explore new identities [ 68 ], which may be considered to contribute to gratification, as supported by previous research [ 69 ].

Research has also suggested that Instagram use in particular appears to be potentially addictive in young UK adults [ 66 ], offering further support for the contention that Facebook addiction is only one example of SNS addiction.

Other than the presence and possible addictive qualities of SNSs other than Facebook, it has been contended that the respective activities which take place on these websites need to be considered when studying addiction [ 70 ]. For instance, Facebook users can play games such as Farmville [ 36 ], gamble online [ 71 ], watch videos, share photos, update their profiles, and message their friends [ 3 ]. Following this justified criticism, researchers who had previously studied Facebook addiction specifically [ 58 ] have now turned to studying SNS addiction more generally instead [ 73 ], demonstrating the changing definitional parameters of social networking in this evolving field of research.

Higher levels of FOMO have been associated with greater engagement with Facebook, lower general mood, lower wellbeing, and lower life satisfaction, mixed feelings when using social media, as well as inappropriate and dangerous SNS use i. In addition to this, research [ 77 ] suggests that FOMO predicts problematic SNS use and is associated with social media addiction [ 78 ], as measured with a scale adapted from the Internet Addiction Test [ 79 ].

It has been debated whether FOMO is a specific construct, or simply a component of relational insecurity, as observed for example with the attachment dimension of preoccupation with relationships in research into problematic Internet use [ 80 ]. In addition, this study also found that the relationship between psychopathology as operationalized by anxiety and depression symptoms and assessed via the Hospital Anxiety and Depression Scale and negative consequences of SNS use were mediated by FOMO, emphasizing the importance of FOMO in the self-perceived consequences of high SNS engagement.

Taken together, these findings suggest FOMO may be a significant predictor or possible component of potential SNS addiction, a contention that requires further consideration in future research. Further work is needed into the origins of FOMO both theoretically and empirically , as well as research into why do some SNS users are prone to FOMO and develop signs of addictions compared to those who do not. Smartphone Addiction May Be Part of SNS Addiction Over the last decade, research assessing problematic and possibly addictive mobile phone use including smartphones has proliferated [ 81 ], suggesting some individuals may develop addiction-related problems as a consequence of their mobile phone use.

Recent research has suggested problematic mobile phone use is a multi-faceted condition, with dependent use being one of four possible pathways, in addition to dangerous, prohibited, and financially problematic use [ 82 ]. According to the pathway model, an addictive pattern of mobile phone use is characterized by the use of specific applications, including calls, instant messaging, and the use of social networks.

This suggests that rather than being an addictive medium per se, mobile technologies including smartphones and tablets are media that enable the engagement in potentially addictive activities, including SNS use. Put another way, it could be argued that mobile phone addicts are no more addicted to their phones than alcoholics are addicted to bottles. Similarly, it has been argued previously that individuals do not become addicted to the Internet per se, but to the activities they engage in on the Internet, such as gaming [ 50 ] or SNS use [ 3 ].

With the advent and ubiquity of mobile technologies, this supposition is more pertinent than ever. Therefore, it can be suggested that smartphone addiction may be part of SNS addiction.

Previous research [ 73 ] supported this supposition by specifically indicating that social networking is often engaged in via phones, which may contribute to its addictive potential. Accordingly, it is necessary to move towards nosological precision, for the benefit of both individuals seeking help in professional settings, as well as research that will aid developing effective treatment approaches for those in need.

Nomophobia is inherently related to a fear of not being able to engage in social connections, and a preference for online social interaction which is the key usage motivation for SNSs [ 3 ] , and has been linked to problematic Internet use and negative consequences of technology use [ 86 ], further pointing to a strong association between nomophobia and SNS addiction symptoms.

Using mobile phones is understood as leading to alterations in everyday life habits and perceptions of reality, which can be associated with negative outcomes, such as impaired social interactions, social isolation, as well as both somatic and mental health problems, including anxiety, depression, and stress [ 85 , 87 ].

Accordingly, nomophobia can lead to using the mobile phone in an impulsive way [ 85 ], and may thus be a contributing factor to SNS addiction as it can facilitate and enhance the repeated use of social networking sites, forming habits that may increase the general vulnerability for the experience of addiction-related symptoms as a consequence of problematic SNS use.

There Are Sociodemographic Differences in SNS Addiction Research suggests there are sociodemographic differences among those addicted to social networking. This means the girls want direct interaction.

They want to feel understood. They want to be able to express themselves. First, in the age group of 14—16 years, girls appear to show a higher prevalence of addictions to the Internet and SNSs, as found in a representative German sample [ 88 ], and second, teenage girls may be underrepresented in clinical samples. Moreover, another study on a representative sample demonstrated that the distribution of addiction criteria varies between genders and that extraversion is a personality trait differentiating between intensive and addictive use [ 89 ].

Cross-sectional research is less conclusive as regards the contribution of gender as a risk factor for SNS addiction. A higher prevalence of Facebook addiction was found in a sample of females in Norway using the Facebook Addiction Scale [ 58 ].

In other studies, no relationship between gender and addiction was found. In a study of university students in Turkey, Facebook addiction was assessed using the Facebook Addiction Scale, but did not find a predictive relationship between gender and Facebook addiction [ 62 ].

Furthermore, the relationships between gender and SNS addiction may be further complicated by other variables. For instance, recent research by Oberst et al. The researchers explained this difference by suggesting that anxiety and depression experience in girls may result in higher SNS usage, implicating cyclical relationships in that psychopathological symptom experience may exacerbate negative consequences due to SNS use, which may then negatively impact upon perceived anxiety and depression symptoms.

In terms of age, studies indicate that younger individuals may be more likely to develop problems as a consequence of their excessive engagement with online social networking sites [ 92 ]. Moreover, research suggests perceptions as to the extent of possible addiction appear to differ across generations.

This suggests that younger generations significantly differ from older generations in how they use technology, what place it has in their lives, and how problematic they may experience their behaviors to be. It also suggests that external accounts such as those from parents in the case of children and adolescents may be useful for clinicians and researchers in assessing the extent of a possible problem as adolescents may not be aware of the potential negative consequences that may arise as a result of their excessive online communication use.

It is a social science that uses various methods of empirical investigation and critical analysis to develop a body of knowledge about social order, acceptance, and change or social evolution. While some sociologists conduct research that may be applied directly to social Qualitative content analysis and thematic analysis are two commonly used approaches in data analysis of nursing research, but boundaries between the two have not been clearly specified.

Cynthia Rouf transforms stressful dating lives into lighthearted, fulfilling escapes that empower you to find stronger matches faster. With brainpower previously used for legal analysis, genetics research, and tech startup business development, this dating whiz is eager to collect your data points so she can test, scale, and optimize your love life.

New E-book: The CEO’s Guide to Social Media: How to Succeed in 4 Simple Steps

Books at Amazon. Guy Harrison. Oracle Database 12c New Features. Robert G. Web Security Testing Cookbook.

PHP 5 Social Networking

Paco Hope. Part 2 Java 4 Selenium WebDriver: Rex Jones II. Kevin Forsythe. Expert Python Programming. Ryan Vice. Odoo 11 Development Essentials. Daniel Reis. Larry Ullman. Django By Example.

Kumpulan Buku Pemrograman Gratis dalam Bahasa Indonesia

Antonio Mele. Jim Steger. Zend Framework 2. Beginners Guide. Krishna Shasankar V. Learn PHP 7. Steve Prettyman. PHP Web Services. Lorna Jane Mitchell. Alex Nuijten. Java Phrasebook. Timothy R. Usama Dar. Jeff Olen. Malcolm Coxall. Essential GWT. Federico Kereki. Jose Sandoval. Masoud Kalali. Zend Framework 2 Application Development. Christopher Valles. Liferay Portal Systems Development. Jonas X. Second Edition. Jonas Andersson. Elgg 1. Cash Costello.

Beginning Java Programming.

Bart Baesens. Microsoft Windows Workflow Foundation 4. Andrew Zhu. CakePHP 1. Mariano Iglesias. Jeff Langr. Mastering Modern Web Penetration Testing. Prakhar Prasad. Hasin Hayder. Essential App Engine. Adriaan de Jonge. Programming Joomla Plugins. Jisse Reitsma. Mastering JavaScript. Ved Antani. Learning Vaadin. Nicolas Frankel. Scripting in Java. Dejan Bosanac. Ryan Stephens. Akka Essentials.

Downlaod PHP, HTML, CSS, JS, CAKE Tutorial Pdf For Beginners

Munish K. Geoffrey Hudik. Vibrant Publishers.Learning Vaadin. Bradley Irby. Instant jQuery Boilerplate for Plugins. Database Administration. Instant jQuery Boilerplate for Plugins. Video via YouTube. A social movement is a type of group action. OK, close. You've successfully reported this review. Engaging in social networking comprises a specific type of social media use, therefore they are not synonymous.