154 results about "Web community" patented technology

A system and method for determining and identifying clusters/kernels of linkings in and between Internet web pages. The analysis is based at least in part on an entropy analysis, such as by dividing a population into cyber neighborhoods, which can be geographic based and/or logically related.

Systems and methods for social graph data analytics to determine the connectivity between nodes within a community are provided. A user may assign user connectivity values to other members of the community, or connectivity values may be automatically harvested, calculated, or assigned from third parties or based on the frequency of interactions between members of the community. Connectivity values may represent such factors as alignment, reputation, status, and/or influence within a social graph within the network community, or the degree of trust. Social graph data analytics may be used to determine a network connectivity value from all or a subset of all of the retrieved paths and/or one or more connectivity statistics value associated with the first node and/or the second node. A parallel computational framework may operate in connection with a key-value store to perform some or all of the computations related to the connectivity determinations.

Systems and methods for modifying the content of portal screens associated with a web community that include one or more web communities accessible by at least one server through a network, where each web community is associated with one or more portal screens and each portal screen is associated with particular report data. Moreover, a user computer device, capable of accessing and rendering one or more portal screens, is connected to the server(s) through the network, where the server(s) may access report data. The user computer device provides access to a user interface associated with the portal screens that may provide access to a file browser for querying a remote data source through the network to locate and retrieve the report data to be associated with one or more portal screens. Additionally, several tools for altering the retrieved report data may be accessible through the user interface.

A method and system for providing a visual representation of electronic, on-line journals, such as those generally referred to as “Weblogs” or “Blogs”, that uses a treemap display object in a graphical user interface to represent social networking characteristics discovered in, and aggregated from a set of on-line journals. The generated display object includes on-line journal representations shown within the social network communities to which they belong. This visual organization is provided through a treemap representation, in which an enclosing region for a set of journals is broken up into sub-regions corresponding to social network communities. Representations of individual on-line journals are provided as inner regions within the sub-regions for the communities. The enclosing region, sub-regions and inner regions may be rectangular, or any other specific geometric shape as appropriate for a given application. The relative size of an inner region representing a specific journal may be determined based on how strongly related that journal is to the other members of the community, or on how active that journal is in terms of reads or writes, or based on some other criteria.

The invention relates to Internet electronic commerce, network recruitment, network skill competition, network communities, network friendship, network knowledge bases, network channels and instant communication technologies, and provides an individual socialized service system and an implementation method thereof. The system comprises a client and logon unit, a logon server unit, an access server unit, a channel server unit, an application server unit, a database server unit, an information sharing server unit, an individual information service and data acquisition unit and a data mining unit. The invention is based on the individual socialized life requirement, designed information has wide coverage, including personal credit, knowledge, skills and individual orders, and more complete and more accurate data matching can be provided for a user in networked transactions, job hunting and social activities. The system is suitable for more extensive social groups and has higher practical value.

A message database stores contents of a series of messages given by participants of a network community together with titles thereof. A theme updating part changes appropriately a theme for drawing real intention, such as characteristics, lifestyles, subconscious needs or the like, of a user class of products/services. A part analyzes the contents of messages of the participants of the network community and draws the real intention of the user class of the products/services.

The present invention provides a multimodal network community system capable of transmitting a message to and collecting responses from multiple specific persons in a short period of time and a method of controlling the same, which can transmit a notice (message) to and collect responses from a plurality of members of a specific group or groups in a short period of time according to a predefined procedure via various methods, such as a telephone call, an email, a text message, a web message, an instant message and a voice message, and can collect the results of the recipients' reception of the message and responses via various communication means, automatically arrange them in a database and transmit them to a message transmitter, so that the message transmitter can simultaneously transmit a desired message to a number of persons at one time, the recipients can perfectly receive the message via communication means set by them with a high probability of success and in a timely manner, and a message relay service provider can create a profit-generating business model through sticky and frequent online traffic generated by community and group members, with the result that a number of members can be recruited and retained and the management of members can be facilitated through the application thereof to network community business.

This method includes that: The 1st terminal sends a add friend request message (AFRM) to the personal management system; the request message carries about the first terminal user mark information and 2nd user mark information to be added; the personal information management system retransmits the request message to mobile community business system; According to UBI of the 1st terminal and UBI of the added 2nd user, the community business system adds the 2nd user to friend list of the 1st terminal and sends back the information change message to PIBMS and sends back the processing result to the 1st terminal. This method can add friends in mobile community via PIM program. The net completes automatically the friend connecting between users. When accessing PIM program, user may add another user as a friend of a certain community or of all communities.

Provided is a method for carrying out community detection on a heterogeneous social network on the basis of a clustering algorithm. The method comprises the steps that an adjacent matrix is built; the community structure is initialized; the local modularity is calculated; a set of mark numbers of communities participating in fusion is obtained; candidate fusion sets are obtained; differences of the modularity are calculated; whether the first modularity difference and the second modularity difference meet the fusion standard or not, if yes, the mark numbers of the communities participating in fusion and the mark numbers of candidate communities are unified, and if not, the step of calculation of the local modularity is executed again; a new community structure is recorded; if community merging does not exist in the current cycle, the optimal community structure is output. According to the method for carrying out community detection on the heterogeneous social network on the basis of the clustering algorithm, due to the fact that the clustering method, the similarity vector method and the local modularity method are adopted, the methods can be effectively applied to community detection of the heterogeneous social network, and accuracy of the detection result of the heterogeneous network community structure is improved.

An example embodiment of a Community Web Site includes a Home Page, a Web Presence Tool Page, and a Product and Community Forum which is created and maintained by a Hosting Provider. The Home Page may be made accessible to Hosting Customers and Partners and is an ideal location for placement of ads since all members of the Web Hosting Community are funneled through this Web page. The Web Presence Tool Page may display information generated by a Partner regarding the Partner's application which may be viewed by the Hosting Customers. The Product and Community Forum may allow the Hosting Customers to share information regarding all the applications with other Hosting Customers.

The invention discloses a distributed opportunistic network community division method. Mobile nodes in a community are comprised, and consists of community centrality information, centrality is determined by the roaming probability of the nodes, and the division method particularly comprises the steps as follows: 1) initializing, the centrality of each node is set to be zero, the community labels are own IDs of nodes; 2) each node records the roaming probability of a first motion cycle, and the node IDs of the other nodes which meet in the first motion cycle and meeting times are upgraded in real time; 3) the centrality information of each node is upgraded according to the roaming probability of node; 4) meetings of the nodes exists or not is monitored; 5) the nodes are adjacent or not is judged when the nodes meet; 6) label information of a node with larger centrality is set as the own label information of another node with less centrality; and 7) the step 3) is switched to. The accuracy of the division of the opportunistic network community is improved via the motion cycle characteristic and historical meeting information of the nodes.

The invention provides a hybrid clustering method aiming at a complicated network, and belongs to the field of data mining of a community network. The method comprises the following steps of: partitioning the complicated network by a heuristic clustering method, and setting an optimization terminating function and an iterative terminating threshold value to obtain a relatively good network community division result; combining the networks by an optimization-based clustering method, and storing an optimal network community division result by calculating a final optimization terminating function; and finally outputting a community structure. By the method, a large-scale complicated network can be subjected to community division or clustering, so that a community division result is good; furthermore, the Girvan-Newman (GN) algorithm precision based on connection clustering coefficients is improved, and the time loss is avoided; and high user experience can be guaranteed.

An example embodiment for using a Partner Web Site within a Web Hosting Community starts with a Hosting Provider creating the Partner Web Site, a Community Web Site, and operating one or more Hosting Servers. A Partner, from the Partner Web Site, may make an application available for purchase and use to a plurality of Hosting Customers. At least one of the Hosting Customers, from the Community Web Site, may purchase and utilize the application with their Hosted Web Site.

The invention provides a structure centrality-based network community discovery method, which can effectively reveal inherent community structures in a complex network. A node centrality measure is proposed for locating local structure center nodes in the network according to local interaction information of nodes and global information among the nodes, and a community cluster quantity is determined; and based on an identified structure center, a complete community structure is revealed in a way of extension to the edge from the structure center by adopting a heuristic local search policy. Meanwhile, a boundary region is defined for the community structure, so that different node roles in a network community are effectively identified for revealing network group structure characteristics. A large amount of experiments prove that the method can effectively reveal the community structure in the network, is relatively high in universality and has a relatively high application value.

A distributed computing system operates in a peer to peer (P2P) network to take advantage of idle or unused resources. The system facilitates the reception of a problem definition that can be picked up for processing by any peer in the network community on an anonymous basis. The peers in the network community are volunteers, and return solutions to a virtual space to be picked up by the entity proposing the problem. The problem and solution specifications are stored in circular first in first out queues, so that a number of solutions can be provided to any given problem definition.

A minimal spanning tree-based clustering genetic algorithm complex web community mining method belongs to the field of complex web community mining technology and is characterized in that the method comprises the following steps: carrying out computer initialization, carrying out population initialization, clustering population by a minimum spanning tree method, carrying out single-point crossover operation, mutation operation and selecting operation on individuals after population clustering, and carrying out iteration for T times so as to obtain the optimum community division of complex networks. Through minimal spanning tree-based clustering of populations and by crossover among populations, population diversity is maintained, and immaturity convergence is inhibited. By crossover operation of excellent individuals in species, probability of searching spaces with better solutions is increased. By selecting a neighbor-node for maximizing local modularity M1 as a variance value, search efficiency of the algorithm is improved.

The invention puts forward a community discovery method used for a complex network. An algorithm designs a node transition probability through the analysis of a network topology structure, the significance of the node for the network community is evaluated on the basis of a random walk method, then, the node with the high significance is taken as a core to construct the network community, and finally, a community structure is regulated through a community edge trimming method. Compared with an existing method based on random walk, CDATP (Community Detection Algorithm Based on Asymmetric Transfer Probability of Nodes) exhibits the node design transition probability in the network, and the degree of importance of the node for the community is evaluated through the local transition of the node.

The invention discloses a synchronous information updating method and a synchronous information updating system. The method comprises the following steps that: 1, a plurality of pages opened by a user automatically establish long connection with a message server; 2, the user triggers the page operations of one page; 3, a web server informs the message server of the action information of the page operations triggered by the user; and 4, the message server transmits the action information of the page operations to the pages establishing the long connection with the message server. In the method and the system, the long connection is established between the pages and the message server, and after the user triggers the page operations of one page, the message server transmits the action information of the triggered page operations according to different identification information to the pages establishing the long connection with the message server so as to realize the synchronous updating of information, avoid the user repeatedly checking the same message in the plurality of pages, save a great amount of time for the user and improve the network community experiences of the user; and simultaneously, the user performs cooperative operations by the pages, so the working efficiency of the user is improved.

The invention provides a multi-resolution community discovering method based on fuzzy clustering. According to local interaction information of adjacent nodes, the structural similarity is introduced for measuring the fuzzy relation between the nodes, fuzzy transitivity of the fuzzy similarity between the nodes in a network topology is partially considered, fuzzy parameters are used for performing set cutting on a fuzzy transitivity matrix to obtain community structures under different resolutions, and therefore network communities can be discovered. Matrix transformation operation is adopted, a network community detection model based on fuzzy clustering is built, iterative optimization processes in a traditional method are reduced, the time complexity is lowered, a large number of experiments prove that the community structures in a network can be effectively revealed, the universality is strong, and the high application value is achieved; network structural analysis and community structural visualization can be effectively achieved.

The invention aims at providing a method and equipment for generating to-be-issued information in a network community, wherein the method comprises the following steps: determining an information issuing method adapted to attribute information of an information provider according to attribute information such as business attribute, preference configuration, historical issuing information and the like of the information provider; then, generating the to-be-issued information based on material information provided by the information provider according to the information issuing method; namely, making the attribute information of the information provider as a condition for generating the to-be-issued information so as to satisfy an issuing demand of the information provider. Simultaneously, generated to-be-issued information is a preferable showing form of the information provider for providing the material information; issuing effect of information in the network community is improved; furthermore, browsing experience of users is improved.

The invention discloses a network community-oriented electronic certificate making, issuing, storage and exchange system aiming at a mobile user. The system comprises a database constructed according to a large amount of historical data accumulated in network community service, and target audiences are discovered by data mining and analysis of the database. The system sends a proper electronic certificate to a target mobile phone through a wide area network; and the user can remotely transmit/download the required electronic certificate to the mobile phone in a mode of subscription, search and the like. The user retrieves the electronic certificate stored in the mobile phone at an exchange terminal of a certificate provider through a wireless local area network. In specific implementation, the electronic certificate comprises plain codes, secret codes, digital watermarking discount coupons and membership cards of different purposes; and the certificate provider comprises a merchant and can perform statistics and account checking of exchange transaction. The system can accurately select the sending target of the electronic certificate, obviously reduce the issuing and exchange cost and effectively improve the marketing benefit of an implementer.