Social Marketing Intelligence
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Social Marketing Intelligence
Social marketing intelligence is the method of extrapolating valuable information from social network interactions and data flows that can enable companies to launch new products and services into the market at greater speed and lower cost. This is an area of research however, companies using social marketing intelligence have achieved significant improvement in marketing campaigns. Through social marketing intelligence, companies can identify people that are the most influential within their communities. These are the most connected people within any given social network. These people, sometimes called the ''alpha users'' or ''hubs'' as in small-world network theory, have considerable influence over the spread of information within their social network. Alpha users Alpha users are key elements of any social networks, who manage the connectivity of the core members of the community. Similar to how viruses spread in nature, there is an initial starting point to communications in ...
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Social Network
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between 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. 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". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalize ...
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Business Intelligence
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. BI tools can handle large amounts of structured and sometimes unstructured data to help identify, develop, and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability, and help them take strategic decisions. Business intelligence can be used by enterprises to support a wide range of business decisi ...
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Clay Shirky
Clay Shirky (born 1964) is an American writer, consultant and teacher on the social and economic effects of Internet technologies and journalism. In 2017 he was appointed Vice Provost of Educational Technologies of New York University (NYU), after serving as Chief Information Officer at NYU Shanghai from 2014 to 2017. He also is an associate professor at the Arthur L. Carter Journalism Institute and Associate Arts Professor at the Tisch School of the Arts' Interactive Telecommunications Program. His courses address, among other things, the interrelated effects of the topology of social networks and technological networks, how our networks shape culture and vice versa. He has written and been interviewed about the Internet since 1996. His columns and writings have appeared in ''Business 2.0'', ''The New York Times'', ''The Wall Street Journal'', the ''Harvard Business Review'' and ''Wired''. Shirky divides his time between consulting, teaching, and writing on the social and econ ...
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Here Comes Everybody (book)
''Here Comes Everybody: The Power of Organizing Without Organizations'' is a book by Clay Shirky published by Penguin Press in 2008 on the effect of the Internet on modern group dynamics and organization. The author considers examples such as Wikipedia, MySpace, and other social media in his analysis. According to Shirky, the book is about "what happens when people are given the tools to do things together, without needing traditional organizational structures". The title of the work alludes to HCE, a recurring and central figure in James Joyce's ''Finnegans Wake'' and considers the impacts of self-organizing movements on culture, politics, and business. Synopsis In the book, Shirky recounts how social tools, such as blogging software like WordPress and Twitter, file sharing platforms like Flickr, and online collaboration platforms like Wikipedia, support group conversation and group action in a way that could previously only be achieved through institutions. Shirky argues tha ...
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Viral Marketing
Viral marketing is a business strategy that uses existing social networks to promote a product mainly on various social media platforms. Its name refers to how consumers spread information about a product with other people, much in the same way that a virus spreads from one person to another. It can be delivered by word of mouth, or enhanced by the network effects of the Internet and mobile networks. The concept is often misused or misunderstood, as people apply it to any successful enough story without taking into account the word "viral". Viral advertising is personal and, while coming from an identified sponsor, it does not mean businesses pay for its distribution. Most of the well-known viral ads circulating online are ads paid by a sponsor company, launched either on their own platform (company web page or social media profile) or on social media websites such as YouTube. Consumers receive the page link from a social media network or copy the entire ad from a website and pass ...
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Social Network Analysis
Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of ''nodes'' (individual actors, people, or things within the network) and the ''ties'', ''edges'', or ''links'' (relationships or interactions) that connect them. Examples of social structures commonly visualized through social network analysis include social media networks, memes spread, information circulation, friendship and acquaintance networks, business networks, knowledge networks, difficult working relationships, social networks, collaboration graphs, kinship, disease transmission, and sexual relationships. These networks are often visualized through ''sociograms'' in which nodes are represented as points and ties are represented as lines. These visualizations provide a means of qualitatively assessing networks by varying the visual representation of their nodes and edges to reflect attributes of in ...
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Social Network Advertising
Social network advertising, also social media targeting, is a group of terms that are used to describe forms of online advertising/digital marketing that focus on social networking services. One of the major benefits of this type of advertising is that advertisers can take advantage of the users' demographic information and target their ads appropriately. Social media targeting combines current targeting options (such as geotargeting, behavioral targeting, socio-psychographic targeting, etc.), to make detailed target group identification possible. Important factors also include what the user likes, comments, views, and follows on social media platforms. With social media targeting, advertisements are distributed to users based on information gathered from target group profiles. Social network advertising is not necessarily the same as social media targeting. Social media targeting is a method of optimizing social media advertising by using profile data to deliver advertisements d ...
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Social Media Intelligence
Social media intelligence (SMI or SOCMINT) refers to the collective tools and solutions that allow organizations to analyze conversations, respond to social signals and synthesize social data points into meaningful trends and analysis, based on the user's needs. Social media intelligence allows one to utilize intelligence gathering from social media sites, using both intrusive or non-intrusive means, from open and closed social networks. This type of intelligence gathering is one element of OSINT (Open- Source Intelligence). The term was coined in a 2012 paper written by Sir David Omand, Jamie Bartlett and Carl Miller for the Centre for the Analysis of Social Media, at the London-based think tank, Demos. The authors argued that social media is now an important part of intelligence and security work, but that technological, analytical and regulatory changes are needed before it can be considered a powerful new form of intelligence, including amendments to the United Kingdom Regulat ...
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Social Media
Social media are interactive media technologies that facilitate the creation and sharing of information, ideas, interests, and other forms of expression through virtual communities and networks. While challenges to the definition of ''social media'' arise due to the variety of stand-alone and built-in social media services currently available, there are some common features: # Social media are interactive Web 2.0 Internet-based applications. # User-generated content—such as text posts or comments, digital photos or videos, and data generated through all online interactions—is the lifeblood of social media. # Users create service-specific profiles for the website or app that are designed and maintained by the social media organization. # Social media helps the development of online social networks by connecting a user's profile with those of other individuals or groups. The term ''social'' in regard to media suggests that platforms are user-centric and enable communal ac ...
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Big Data
Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe Big data is the one associated with large body of information that we could not comprehend when used only in smaller amounts. In it primary definition though, Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: ''volume'', ''variety'', and ''velocity''. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. ...
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