A server system for a map-based social media platform maintains user location information to enable the rendering of friend icons on a map at a corresponding display locations. The system maintains a per user access control list (ACL) that lists all users whose icons can be viewed by a requesting user. The ACL can include a designation of respective display granularity levels for different friend users.

A matching and communication system has a first mobile device associated with a first user, and a second mobile device associated with a second user, an Internet connected server having a processor executing coded instructions, and coupled to a data repository, a first profile for the first user, comprising a photograph of the first user and a plurality of first hashtags in the first profile, the first profile stored in the data repository; and a second profile for the second user, comprising a photograph of the second user and a plurality of second hashtags in the second profile, the second profile stored in the data repository. The server determines that the devices are proximate a profile post is displayed for the second user in a display for the first user.

Provided is an apparatus for deriving a social relation between accounts based on a transaction ledger, which includes: a data storage unit storing account information, software for deriving an inter-account social relation, and inter-account social relation information; and a processor deriving the social relation between the accounts based on a transaction ledger generated by transactions among users with the accounts.

Provided is an apparatus for deriving a social relation between accounts based on a transaction ledger, which includes: a data storage unit storing account information, software for deriving an inter-account social relation, and inter-account social relation information; and a processor deriving the social relation between the accounts based on a transaction ledger generated by transactions among users with the accounts.

In an approach to longevity management of social network data, a computer detects a posting of a social artifact by a first user of a social network. A computer stores the social artifact with associated identification information. A computer stores activity associated with the social artifact by one or more other users. A computer detects a status change in an account associated with the first user, wherein the status change indicates the first user is not active in the social network. In response to detecting the status change, a computer determines a second user from the one or more other users to which to transfer the social artifact based on the social artifact, the associated identification information, and the activity associated with the social artifact by the one or more other users. A computer transfers the social artifact to an account associated with the second user on the social network.

Described is an open communication system. The system includes a server having a memory storing user data and a first user computing device coupled to the server. The server may be programmed to allow multiple user computing devices to connect to the server and the server determines if the user computing devices are within a predetermined proximity to each other and whether the same communication channel is selected. All of the user computing devices that have selected the same communication channel and are within the predetermined proximity to each may be connected in an open communication link that allows the connected user to communicate. The system may include the option of establishing and invite particular users to a private or less used channel.

An approach is described for addressing propagation of inaccurate information in a social networking environment. An associated method may include identifying inaccurate information within the social networking environment, facilitating creation of countering content to address the inaccurate information, and disseminating the countering content. The countering content may be determined by identifying behavior of one or more users among a plurality of users within the social networking environment. Identifying the inaccurate information within the social networking environment may include receiving information provided within the social networking environment. Upon determining that the received information is factual and thus objectively verifiable, it may be determined whether the received information matches analogous information verified as accurate. Upon determining that the received information does not match the analogous information verified as accurate, the received information may be marked as inaccurate.

Stepwise relationship cadence management can include generating a discourse cadence and confidence (DCC) measure based on a response message. The response message is made in replying to an originating message during a multi-party discourse over an electronic communication channel. The DCC measure indicates a likelihood of improving cadence and confidence with respect to an originator of the originating message and is based on a stepwise relational confidence model (SRCM) generated from an analysis of a plurality of prior multi-party discourses. Stepwise relationship cadence management can also include prompting a user to provide a follow-on message in response to determining that the response message made in replying to the originating message is not likely to improve cadence and confidence.

A method for calculating a total transmission probability within a social network based on timing includes a path probability calculating step, a first binary-addition tree searching step, a second binary-addition tree searching step and a transmission probability calculating step. The path probability calculating step is performed to calculate a plurality of time-path probability matrices from the social network. The first binary-addition tree searching step is performed to enumerate a plurality of feasible spread vectors and a plurality of 1-lag temporal vectors. The second binary-addition tree searching step is performed to enumerate a plurality of time-slot vectors of each of the 1-lag temporal vectors. The transmission probability calculating step is performed to calculate the total transmission probability of the social network. The time-path probability matrices are corresponding to a plurality of time values, and the time values are in the specific time and different from each other.

Systems and methods for screenless computerized social-media access may include (1) producing, via an audio speaker that is communicatively coupled to a computing device, a computer-generated verbal description of a social-media post provided via a social-media application, (2) detecting, via a microphone that is communicatively coupled to the computing device, an audible response to the social-media post from a user of the computing device, and (3) digitally responding to the social-media post in accordance with the detected audible response. Various other methods, systems, and computer-readable media are also disclosed.