Custom Dolphin Social Networking Development at CrowdFinch
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Custom Dolphin Social Networking Development at CrowdFinch - Video
Social Networking - Ownership of Content
With social media becoming a huge part of our everyday lives and a platform for our lives to be shared, issues arise around the ownership of the content we p...
By: Chris Howe
Here are the 15 Most Popular Social Networking Sites as derived from our eBizMBA Rank which is a constantly updated average of each website's Alexa Global Traffic Rank, and U.S. Traffic Rank from both Compete and Quantcast. "*#*" Denotes an estimate for sites with limited Compete or Quantcast data. If you know a website that should be included on this list Please Let Us Know.
1 | Facebook 3 - eBizMBA Rank | 800,000,000 - Estimated Unique Monthly Visitors | 3 - Compete Rank | 3 - Quantcast Rank | 2 - Alexa Rank. Most Popular Social Networking Websites|Updated 12/1/2013|eBizMBA
2 | Twitter 15 - eBizMBA Rank | 250,000,000 - Estimated Unique Monthly Visitors | 30 - Compete Rank | 5 - Quantcast Rank | 9 - Alexa Rank. Most Popular Social Networking Websites|Updated 12/1/2013|eBizMBA
3 | LinkedIn 16 - eBizMBA Rank | 200,000,000 - Estimated Unique Monthly Visitors | 24 - Compete Rank | 17 - Quantcast Rank | 8 - Alexa Rank. Most Popular Social Networking Websites|Updated 12/1/2013|eBizMBA
4 | Google Plus+ 26 - eBizMBA Rank | 150,000,000 - Estimated Unique Monthly Visitors | *24* - Compete Rank | *28* - Quantcast Rank | NA - Alexa Rank. Most Popular Social Networking Websites|Updated 12/1/2013|eBizMBA
5 | Pinterest 27 - eBizMBA Rank | 140,500,000 - Estimated Unique Monthly Visitors | 40 - Compete Rank | 14 - Quantcast Rank | 26 - Alexa Rank. Most Popular Social Networking Websites|Updated 12/1/2013|eBizMBA
6 | Tumblr 31 - eBizMBA Rank | 125,000,000 - Estimated Unique Monthly Visitors | 55 - Compete Rank | 13 - Quantcast Rank | 25 - Alexa Rank. Most Popular Social Networking Websites|Updated 12/1/2013|eBizMBA
7 | Flickr 94 - eBizMBA Rank | 67,000,000 - Estimated Unique Monthly Visitors | 115 - Compete Rank | 102 - Quantcast Rank | 65 - Alexa Rank. Most Popular Social Networking Websites|Updated 12/1/2013|eBizMBA
8 | VK 97 - eBizMBA Rank | 65,400,000 - Estimated Unique Monthly Visitors | *150* - Compete Rank | *120* - Quantcast Rank | 22 - Alexa Rank. Most Popular Social Networking Websites|Updated 12/1/2013|eBizMBA
9 | Instagram 132 - eBizMBA Rank | 50,000,000 - Estimated Unique Monthly Visitors | 51 - Compete Rank | 307 - Quantcast Rank | 39 - Alexa Rank. Most Popular Social Networking Websites|Updated 12/1/2013|eBizMBA
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Top 15 Most Popular Social Networking Sites
A social network is a social structure made up of a set of social actors (such as individuals or organizations) and a set of the dyadic ties between these actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures.[1] The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations."[2]Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s.[1][3]Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.[4][5]
The social network is a theoretical construct useful in the social sciences to study relationships between individuals, groups, organizations, or even entire societies (social units, see differentiation). The term is used to describe a social structure determined by such interactions. The ties through which any given social unit connects represent the convergence of the various social contacts of that unit. This theoretical approach is, necessarily, relational. An axiom of the social network approach to understanding social interaction is that social phenomena should be primarily conceived and investigated through the properties of relations between and within units, instead of the properties of these units themselves. Thus, one common criticism of social network theory is that individual agency is often ignored[6] although this may not be the case in practice (see agent-based modeling). Precisely because many different types of relations, singular or in combination, form these network configurations, network analytics are useful to a broad range of research enterprises. In social science, these fields of study include, but are not limited to anthropology, biology, communication studies, economics, geography, information science, organizational studies, social psychology, sociology, and sociolinguistics.
In the late 1800s, both mile Durkheim and Ferdinand Tnnies foreshadowed the idea of social networks in their theories and research of social groups. Tnnies argued that social groups can exist as personal and direct social ties that either link individuals who share values and belief (Gemeinschaft, German, commonly translated as "community") or impersonal, formal, and instrumental social links (Gesellschaft, German, commonly translated as "society").[7] Durkheim gave a non-individualistic explanation of social facts, arguing that social phenomena arise when interacting individuals constitute a reality that can no longer be accounted for in terms of the properties of individual actors.[8]Georg Simmel, writing at the turn of the twentieth century, pointed to the nature of networks and the effect of network size on interaction and examined the likelihood of interaction in loosely knit networks rather than groups.[9]
Major developments in the field can be seen in the 1930s by several groups in psychology, anthropology, and mathematics working independently.[6][10][11] In psychology, in the 1930s, Jacob L. Moreno began systematic recording and analysis of social interaction in small groups, especially classrooms and work groups (see sociometry). In anthropology, the foundation for social network theory is the theoretical and ethnographic work of Bronislaw Malinowski,[12]Alfred Radcliffe-Brown,[13][14] and Claude Lvi-Strauss.[15] A group of social anthropologists associated with Max Gluckman and the Manchester School, including John A. Barnes,[16]J. Clyde Mitchell and Elizabeth Bott Spillius,[17][18] often are credited with performing some of the first fieldwork from which network analyses were performed, investigating community networks in southern Africa, India and the United Kingdom.[6] Concomitantly, British anthropologist S.F. Nadel codified a theory of social structure that was influential in later network analysis.[19] In sociology, the early (1930s) work of Talcott Parsons set the stage for taking a relational approach to understanding social structure.[20][21] Later, drawing upon Parsons' theory, the work of sociologist Peter Blau provides a strong impetus for analyzing the relational ties of social units with his work on social exchange theory.[22][23][24] By the 1970s, a growing number of scholars worked to combine the different tracks and traditions. One group consisted of sociologist Harrison White and his students at the Harvard University Department of Social Relations. Also independently active in the Harvard Social Relations department at the time were Charles Tilly, who focused on networks in political and community sociology and social movements, and Stanley Milgram, who developed the "six degrees of separation" thesis.[25]Mark Granovetter[26] and Barry Wellman[27] are among the former students of White who elaborated and championed the analysis of social networks.[28][29][30][31]
In general, social networks are self-organizing, emergent, and complex, such that a globally coherent pattern appears from the local interaction of the elements that make up the system.[33][34] These patterns become more apparent as network size increases. However, a global network analysis[35] of, for example, all interpersonal relationships in the world is not feasible and is likely to contain so much information as to be uninformative. Practical limitations of computing power, ethics and participant recruitment and payment also limit the scope of a social network analysis.[36][37] The nuances of a local system may be lost in a large network analysis, hence the quality of information may be more important than its scale for understanding network properties. Thus, social networks are analyzed at the scale relevant to the researcher's theoretical question. Although levels of analysis are not necessarily mutually exclusive, there are three general levels into which networks may fall: micro-level, meso-level, and macro-level.
At the micro-level, social network research typically begins with an individual, snowballing as social relationships are traced, or may begin with a small group of individuals in a particular social context.
Dyadic level: A dyad is a social relationship between two individuals. Network research on dyads may concentrate on structure of the relationship (e.g. multiplexity, strength), social equality, and tendencies toward reciprocity/mutuality.
Triadic level: Add one individual to a dyad, and you have a triad. Research at this level may concentrate on factors such as balance and transitivity, as well as social equality and tendencies toward reciprocity/mutuality.[36]
Actor level: The smallest unit of analysis in a social network is an individual in their social setting, i.e., an "actor" or "ego". Egonetwork analysis focuses on network characteristics such as size, relationship strength, density, centrality, prestige and roles such as isolates, liaisons, and bridges.[38] Such analyses, are most commonly used in the fields of psychology or social psychology, ethnographic kinship analysis or other genealogical studies of relationships between individuals.
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Social network - Wikipedia, the free encyclopedia
Social Networking has become very popular during the past few years, but it can still be very difficult to understand for someone new to social networking. The open-ended nature of social networks add to this. Once signed onto a social network, having answered a few basic profile questions, it is easy to sit back and wonder what you are supposed to do next.
The easiest way to understand social networking is to think of it like high school. You had friends in school, and you knew quite a few people even if you weren't friends with all of them, but it's likely that you didn't know everyone.
If you ever moved to a new school -- or if you can imagine moving to a new school -- you start out with no friends. After attending classes, you start meeting people, and as you meet them, you begin associating with those that have similar interests.
Getting started with social networking is much the same as starting at a new school. At first, you don't have any friends. But as you join groups, you begin to meet people, and you build a friends list of those with similar interests.
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Social networking is based on a certain structure that allow people to both express their individuality and meet people with similar interests. This structure includes having profiles, friends, blog posts, widgets, and usually something unique to that particular social networking website -- such as the ability to 'poke' people on Facebook or high-five someone on Hi5.
Profile. This is where you tell the world about yourself. Profiles contain basic information, like where you live and how old you are, and personality questions, like who's your favorite actor and what's your favorite book. Social networks dedicated to a special theme like music or movies might ask questions related to that theme.
Friends. Friends are trusted members of the site that are allowed to post comments on your profile or send you private messages. You can also keep tabs on how your friends are using social networking, such as when they post a new picture or update their profile. Friends are the heart and soul of social networking. It should be noted that not all social networks refer to them as 'friends' -- LinkedIn refers to them as 'connections -- but all social networks have a way to designate members as trusted.
Groups. Most social networks use groups to help you find people with similar interests or engage in discussions on certain topics. A group can be anything from "Johnson High Class of '98" to "People Who Like Books" to "Doors Fans". They are both a way to connect with like-minded people and a way to identify your interests. Sometimes, groups are called by other names, such as the 'networks' on Facebook.
Discussions. A primary focus of groups is to create interaction between users in the form of discussions. Most social networking websites support discussion boards for the groups, and many also allow members of the group to post pictures, music, video clips, and other tidbits related to the group.
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What is Social Networking? - Social Networking Explained