Defining and evaluating network communities based on Ground truth
In this paper, the authors define ground truth communities by selecting networks where the nodes define their relationship with the groups. After determining the ground truth communities, a comparison is performed between the network communities and the ground truth communities to find out difference of result in 13 chosen structural definitions of network communities. These 13 structural definitions gets partitioned into four classes and tested on the basis of three parameters: sensitivity, reliability and performance to determine the ground truth. Besides this, author also tries to find the network communities in case of a single node. To achieve the task author applies spectral clustering along with heuristic parameter-free algorithm to detect the communities of the node. The advantage of this algorithm is that it is extremely scalable and can be applied to networks with millions of nodes. We have studied clustering in our lecture; here the clusters might overlap as a node can have relationships with many communities, it is not confined to only one community, it means that the nodes are not exclusive. Also, these nodes in the network form densely linked clusters.
As discussed above, in order to achieve the goal the process is divided into three steps: firstly, study a large set of networks to find the ground truth (here the size of the set is 230 that consists of social, collaborative and information networks); secondly, compare the 13 selected structural definition for network communities to ground truth communities and lastly, apply the spectral clustering along with heuristic parameter free algorithm.
In order to define the ground truth community, authors h...
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...o find out the communities whereas they build ground truth communities based on explicitly formed groups. They point out that their algorithm is parameter free and totally different from [2][28] as they only use sweeping under Conductance as a scoring function whereas here many scoring functions are used for sweeping.
Final remarks:
The paper by Yang et al is well represented. The idea of calculating scoring functions seems to be a bright one as it helps in them in many sort of ways. As a reader, the way of writing kept me hooked to the technical details performed as it was easy to understand and presented in a coherent manner. The authors have done a great job in presenting their research work with fine details required for novel readers to understand properly. For the future work, these ground-truth communities can help in fresh ideas for community detection.
Discourse Communities are defined as “a group of individuals bound by a common goal who communicate through approved channels and whose discourse is regulated” (Couzelis et al. 12). Every person on this planet belongs to a discourse community whether they realize it or not. If you start at a larger scale, Texas A&M University-Commerce is a large discourse community, and within that larger discourse community there are hundreds, quite possibly thousands of smaller discourse communities. Many of the discourse communities overlap with members belonging to several communities at the same time.
Luke has been placed on a project to build an adult entertainment store on a piece of land that is located near his brother’s (Owen) home. It is certain that once the plans for the adult establishment are made public, property values in Owen’s neighborhood will “decrease significantly”. Luke is also aware of the fact that Owen is considering to sell his house. The house can be sold now for an “okay” price, however Owen thinks he may be able to get a better offer once the real estate market recovers.
Good morning, Sioux City. This is Adam Lewis and you are tuned to KL&R on this delightful March 3rd for all your news so you’ll know what’s going on.
The Columbia Broadcasting Company or “CBS” in layman’s terms was founded in 1927 as a radio network under the “United Independent Broadcasters” name, which was a radio-broadcasting network. The name was changed to CBS in 1928, which was the same year that William S. Paley, the son of a cigar making tycoon, took over control of CBS with his fathers financial support. Paley took over CBS for $400,000 and inherited a network that consisted of 22 affiliates and 16 employees. Although he had little technical knowledge of radio, Paley believed he could only attract advertisers if he delivered large audiences. To fulfill this goal, he decided to give CBS programming to local radio stations for free, as long as they agreed to surrender any part of their schedule to advertiser sponsored CBS network shows. In less than a decade, CBS had blossomed to 114 stations from 22 when Paley took over. Another one of Paley’s gifts was his ability to recognize talent, he quickly signed mega stars such as Bing Crosby, Kate Smith and Morton Downey. But such was the case in those days, those stars were quickly lured away by highly popular rival NBC for more money.
Launched on February 1, 1984, Lifetime was created by the merger of Daytime and Cable Health Network. Lifetime was crowned “Television for women” in 1994 and began an ambitious expansion of original programming and public service initiatives targeted to women. Lifetime is dedicated to providing contemporary, innovative entertainment and information on-air and online that is of particular interest to women.
Social computing has to do with computations carried out by groups of people for instance in collaborative filtering, online auctions, prediction markets and reputation systems.
The true beginning of social media goes all the way back to 1979; to usenet systems and bulletin board systems. These newsgroups and message boards were the precurso...
News Broadcasting On April 7, 1997, I watched NBC 5 News at 6. Warner Saunders (filling in for Ron Majors) and Carol Marin were co-anchors. Because I do not usually watch the news, I found myself seeing it with fresh eyes. For instance, I never before realized how little time is spent on each story within a 30-minute newscast.
Social networking now encompasses all four of these revolutionary ideas into one entity. With the ever-increasing growth of technology, we will continue to see pivotal changes in societal interaction and communication as a result. Works Cited Kazeniac, Andy (2009) Social Networks: Facebook Takes Over Top Spot, Twitter Climbs. Retrieved from http://blog.compete.com/2009/02/09/facebook-myspace-twitter-social-network/. Facebook Statistics – Facebook Press Room (2010).
Internet has become a vital element in people daily lifestyles. People use smart phones, tablets, laptops or computers to access Internet. By the first decade of the 21st century, many Internet users use faster broadband Internet access technologies. As the Internet users grow, one of the Internet phenomenons that can be seen is social networking. Basically, people use social media to interact among people where they create, share or exchange information in virtual communities and networks.
A society is one that is organized in its dominant processes and functions around networks. According to Manuel Castells, ‘The Network Society’, the world has been undertaking a multidimensional physical transformation, due to the rise of new technological pattern centred around communication and information technologies. The society manages to structure technology according to its interests and needs, and each technology is delicate to the results of its social concerns. Oddly, in the network society, the technology users also become its creators, and this leaves a substantial effect on the way companies are organized regarding the network society.
The community is the functional community. A functional community is characterized by physical uniformity between peers in which social norms and approvals arise out of the social structure itself and both strengthen and maintain that ...
To Begin to understand Social Network theory more deeply, it is important to understand some of the key concepts of the theory. One of the main concepts of this theory is identifying what a network means. A network can be defined as a set of relationships (Dunn, 1983). The simplest kind of network contains two objects, such as two people, and a relationship that links them together. For example, two people that know each other would ...
A community is a place where one feels at home. It can also be where members have the same likes and dislikes. In every part of the world there are different types of communities. Once a person is in a community, each person will follow the traditions and behaviors of that community, which provide a sense of stability. Depending on who or what the community has to offer, one will enjoy interaction with others of the same community with the same interests.
Network analysis has been adopted across the scientific spectrum from the social sciences to biochemisty with applications in empirical research, modelling, and management, to name a few.1,2,3,4 While the network structure of operating sub-groups has been examined previously to our knowledge a comprehensive analysis of the operating suite incorporating all relevant participants has not yet occurred.5 In studying a network several definitions are worth reviewing (Table 1). Networks can be directed or undirected, referring to whether an edge has a defined source and target or merely denotes the existence of a connection, and weighted or unweighted, referring to value attributed to an edge to impart information related to the nature of a tie. From the structure that arises out of nodes and their corresponding edges several traits addressing their importance in a network can be discussed.9 Though many and varied measures exist, perhaps the most commonly discussed centralities are degree, closeness, betweenness, and eigenvector and it is to these we will limit our analysis. Further, the empirical detection of existing sub-groups or “communities” in a the network will also be examined. While clustering coefficient, a common metric of the social embeddedness of a node in a network, can be applied to undirected networks it cannot be applied to weighted networks and thus was not examined.10